In this study, the effects of soaking time and confining water pressure on the compressive and flexural strengths of rock due to the dissolution of gypsum content in rock samples with 96% gypsum (CaSO4·2H2O) content collected from northern Iraq (Kurdistan Region) were investigated. Experiments on compressive strength and flexural strength were performed on gypsum rock samples in normal and pre-saturated conditions. The pre-saturated samples were submerged in distilled water for 35, 70 and 105 d and subjected to confined pressures of 0–0·5 MPa. Thermogravimetric analyses showed a notable reduction in the weight of gypsum rock between 25 and 120°C. Also, the total weight loss at 800°C for the field rock sample was 7·53%. The weight loss of the gypsum rock increased with increasing soaking time and confining water pressure. The gypsum content decreased by 11% under a soaking time of 105 d and a confining water pressure of 0·5 MPa with respect to the natural samples. The compressive strength of the normal gypsum rock was 19·6 MPa, and it decreased by 68 and 90% after 105 d of soaking under confining water pressures of 0 and 0·5 MPa, respectively. The flexural strength of the normal gypsum rock was 10·8 MPa, and it decreased by 65 and 91% after 105 d of soaking under confining water pressures of 0 and 0·5 MPa, respectively. Two non-linear constitutive models were used to simulate the experimental stress–strain relationships in various conditions. The constitutive model parameters were sensitive to the gypsum content. Based on the methods of the coefficients of determination (R2) and root mean square errors, the non-linear constitutive model (Vipulanandan pq model) predicted the stress–strain behaviour for the gypsum rock very well.

a, b, c

linear model parameters

b

width of the tested beam

d

depth of the tested beam

Ei

initial modulus of elasticity

k

initial model parameter for gypsum rock

L and D

length and thickness of a sample, respectively

N

number of experimental data points

P

confining water pressure

Pmax

load at a given point (maximum)

p and q

material parameters

R2

coefficient of determination

t

soaking time

x¯

mean of calculated data

xi

calculated data from the model

y¯

mean of the actual test data

yi

actual test data

ϵ

axial strain: %

σ

compressive stress

σc

compressive strength

σf

flexural strength

σfo

initial flexural strength

Gypsum (CaSO4·2H2O) rocks cover more than 20% of the earth’s surface, with 7 million km2 covered by highly soluble gypsum-bearing rocks (Dreybrodt et al., 2002). Construction failures and geological problems have globally resulted from the presented properties of gypsum content (GC), two examples being the surface collapse of roads and bridge in Ripon, UK (Cooper and Saunders, 2002) and the 400 m3 sinkhole and 5·5 m land surface drop in the north-eastern side of Mosul in Iraq (Al-Layla and Thabet, 1990). Gypsum is a soluble mineral deposit resulting from evaporation of natural water. It can transform to anhydrite by losing its hydration water, or anhydrite can transform to gypsum by the addition of water (Ingebritsen and Sanford 1999; Jaworska, 2010). The conversion of anhydrite to gypsum may cause over 60% increase in the volume of the solid phase, which causes lots of engineering problems (Salih et al., 2015). The average uniaxial compressive strength of gypsum rock has been found to be in the range 9–16 MPa (HaiFei et al., 2009; Liang et al., 2012; Shafiei et al., 2008) as shown in Figure 1. The influence of saturation on the compressive properties of gypsum rock has been considered by several research studies; usually with increasing soaking time (i.e. increasing degree of saturation), the strength of gypsum rock decreases (Heidari et al., 2012; Salih et al., 2015; Vásárhelyi and Ván, 2006). Water is suggested to be a significant factor influencing the stability and mechanical properties of gypsum rock (Dusseault, 2011; Mohammed and Mahmood, 2018a, 2018b; Salih et al., 2015). Among the various notable problems investigated by various research studies, gypsum rock can experience formation of karst features (caves and sinkholes), due to continuous dissolution (Johnson, 2005; Shafiei et al., 2008; Yılmaz, 2001). The dissolution of gypsum is dependent on the surface area exposed to water. The solubility of gypsum is greater in distilled water than in water containing more calcium (Ca2+) and sulfate (SO42−) ions (Fengxiang et al., 1983). In water saturated with calcium sulfate (CaSO4), gypsum solubility was found to be about 1·83–2·5 g/l at 20°C, the average of which (2·2 g/l) is approximately 1/160 of the solubility of ordinary salt (360 g/l) and 1·5 times the solubility of calcium carbonate (CaCO3) (1·5 mg/l) (Bell, 1994; Gumusoglu and Ulker, 1982; Yılmaz, 2001). Gypsum is susceptible to rapid dissolution whenever there is an active movement of groundwater, which is unsaturated with calcium sulfate (Salih et al., 2015). Gypsum, like calcium carbonate and salt, dissolves reversibly, but anhydrite does not. When anhydrite is dissolved, it forms a solution of calcium sulfate which, at common temperatures and pressures, is in equilibrium with the solid phase of gypsum, but not with anhydrite. If disequilibrium of the solid–solvent system occurs, gypsum precipitates. This is due to the instability of anhydrite under normal surface and shallow subsurface thermobaric conditions (Klimchouk, 1996).

Figure 1

Variation in compressive strength with density for rocks

Figure 1

Variation in compressive strength with density for rocks

Close modal

Leaching of gypsum is an essential point for the dissolution process, which has been also studied. Unbonded gypsum leaches out quickly due to the water percolating through the fissures at the boundary between gypsum and the surrounding rock. Rock collapse in the roofs of tunnels and mines often occurs in bending conditions (Fengxiang et al., 1983). Elizzi (1976) and Ali (1979) studied the difference between compression and tension strain in four-point mode bending tests for gypsum rock. The studies showed that the compressive strain from the four-point bending test for a gypsum rock sample was greater than the tension strain. Efimov (2009) highlighted the method of bending testing. The result showed that the three-point bending test for gypsum rock showed higher tension compared with the four-point bending test. Based on the information from various research studies performed on different types of rock, the size (L/D, where L and D are the length and thickness of the sample, respectively) for the compression test varied from 0·5 to 3. The different beam sizes (L × W × D) used for flexural strength tests found in the literature are summarised in Table 1.

Table 1

Literature review of the dimensions of samples for compression and flexural strength tests

Compression testFlexural test
ReferenceType of rockSize of sampleLength/diameter (L/D)ReferenceType of rockL × W × D: mm
Lundborg (1967) Granite20, 30, 40 and 60 mm dia.1Xeidakis et al. (1996) Marble, calcite and dolomitic180 × 40 × 20
Bieniawski et al. (1967), Singh and Singh (1993), Yılmaz and Sendir (2002), Brady and Brown (2013) Gypsum rockNX (52 mm dia.)2Biolzi et al. (2001) Granite240 × 40 × 30
Ali (1979) Gypsum rock38·1 mm dia. × 114·3 mm high and 50·8 mm dia. × 152·4 mm high3Coviello et al. (2005) Calcarenite130 × 50 × 40
Whittles et al. (2006) Sandstone25 mm dia. × 50 mm high2Biolzi et al. (2011) Sandstone180 × 40 × 40
Agustawijaya (2007) Sandstone and siltstone54 mm dia.1·6–2·5Aliha et al. (2009) Granite220 × 40 × 20
Özkan et al. (2009) Rock salt25, 50, 75, 100 and 125 mm dia.0·5–2·5Moonen (2009) Sandstone240 × 48 × 24
Cho et al. (2010) Sulfaset synthetic rock55 mm dia. × 110 mm high2Efimov (2009) Granite120 × 20 × 20
Liang et al. (2012) Salt rock50 mm dia. × 100 mm high2Chen and Azzam (2007) Sandstone250 × 50 × 50
Current studyGypsum rock54 mm dia.2·5Current studyGypsum rock140 × 40 × 20
RemarksDifferent types of rock were usedDiameters varied from 20 to 55 mmL/D varied from 0·5 to 3RemarksDifferent types of rock were usedDifferent L × W × D values were used

In this study, non-linear models were used to predict the long-term stress–strain behaviour of gypsum rock subjected to different confining water pressures. The effect of the confining water pressure on the dissolution of the GC was also studied. At least three samples were tested for each condition.

The stress–strain behaviours of strain-softening materials such as concrete, glass-fibre-reinforced polymer concrete, fine sand grouted with sodium silicate, sulfate contaminated clay soil and cement mortar were predicted using the Vipulanandan pq model (Mebarkia and Vipulanandan, 1992; Mohammed and Vipulanandan, 2014; Vipulanandan and Paul, 1990). Vipulanandan and Usluogullari (2011) modelled the stress–strain behaviour of Portland cement-stabilised sand using the pq model. Vipulanandan and Mohammed (2015a) used the Vipulanandan pq model for predicting the piezoresistive behaviour of smart cement modified with iron oxide nanoparticles. Also, the Vipulanandan pq model was used to predict the electrical resistivity against curing time of smart oil well cement (Mohammed and Vipulanandan, 2015; Vipulanandan and Mohammed, 2015b).

The overall objective of this study was to investigate the effect of long-term soaking time and confining water pressure on the compressive and flexural strengths of gypsum rock. The specific objectives are as follows

  • investigation of the effect of the soaking time and confined water pressure on the dissolution of GC

  • the long-term compressive strength and flexural strength behaviour of normal gypsum rock samples and pre-saturated samples subjected to different confining water pressures

  • quantification of the long-term stress–strain relationship of gypsum rock under different confining water pressures

  • correlation between the compressive strength and flexural strength of gypsum rock.

X-ray diffraction (XRD) was used to characterise the chemical composition of gypsum rock. Specimens for XRD were prepared from an air-dried gypsum rock sample. The sample (≈2 g) was placed in an acrylic sample holder which was about 3 mm deep. The sample was analysed by using parallel-beam optics with copper (Cu) Kα radiation at 40 kV and 30 mA. The sample was scanned for reflections (2θ) in the range 0–80° at a step size of 0·02° and a 2 s count time per step (Vipulanandan and Mohammed, 2015b).

Thermogravimetric analysis (TGA) curves, % weight loss with temperature (TGA) and its derivative (% weight change/°C – derivative thermogravimetry (DTG)), were recorded using Setaram TGA 500 apparatus at a heating rate of 10°C/min for a sample of about 20 mg (Khalil and Gad, 1972). TGA and DTG curves for the field gypsum rock were obtained. The test sample was loaded in a platinum pan (three-quarters full). This was followed by introduction of nitrogen (N2) gas into the TGA compartment for 5 min to purge the likely oxygen in the environment of the system. After purging, the sample was heated in the nitrogen atmosphere from room temperature to the maximum of 800°C (Vipulanandan and Mohammed, 2015b).

In this study, an area in northern Iraq (Kurdistan Region) in Sulaymaniyah City (elevation = 966 m, 0495932 38S and 3945243 UTM) that is rich with massive layers of gypsum rock was selected. Sufficient block samples for all the laboratory tests were collected. The site features a massive gypsum rock layer. The gypsum rock locally contains marl or clay impurities within cracks. Gypsum rock samples were collected from the mined layer of gypsum. Based on the information from the literature (Table 1), the collected samples were cored in NX size (54 mm dia.) and L/D was selected to be 2·5 (ASTM D 7012-10 (ASTM, 2010a)). The field rock samples were washed to remove the fine materials and were kept in an oven at 25°C for 48 h in order to obtain constant weight. Oven-dried (25°C) compression and flexural samples were kept inside a vacuum desiccator to be evacuated for 3 h. The sample preparation and testing procedures are explained in Figure 2.

Figure 2

Flow diagram of laboratory testing

Figure 2

Flow diagram of laboratory testing

Close modal

Steel pressure vessels were used to allow the simulation of water pressures. The pressure vessels are cylindrical containers; the base and side-walls were made of stainless steel, while the top was made from a specific plastic material suitable for vessel conditions as shown in Figure 3. One inlet valve located on the top surface was used to introduce air to pressurise the vessel. An outlet valve was used to extract the water from the vessel. Samples could be placed into and removed from the vessel through the removable gate located at the top centre of the vessel. Plastic pipes, special connections and a pressure meter were prepared to be used with the vessels as shown in Figure 3. All the tests were performed at the room temperature of 24 ± 1°C.

Figure 3

Schematic representation of the gypsum rock saturation system

Figure 3

Schematic representation of the gypsum rock saturation system

Close modal

A specific procedure for saturating the normal gypsum rock samples was considered (Hawkes and Mellor, 1970). Distilled water was added into the desiccator, and the evacuation process was continued for 24 h (Ali, 1979; Rauh et al., 2006). The weight of the samples was measured in real time every 6 h using a 0·001 g electronic balance to check if a constant weight for the samples was obtained. After 12 h, the samples’ weight was constant. The first step involved saturating the gypsum rock samples under atmospheric pressure in containers with a known volume of water. The samples were soaked inside the containers for durations of 35, 70 and 105 d; the change in the samples’ weight and the electrical conductivity (EC) of the water-dissolved gypsum were recorded at 7 d intervals. Three samples with the same size, colour and origin were considered for each time interval. Then, the second step was conducted by using pressure vessels to saturate the samples and applying three different levels of confining water pressures of 0·2, 0·35 and 0·5 MPa to the pre-saturated samples.

A confining water pressure of 0·5 MPa is equivalent to a 50 m high water column above the sample, simulating the conditions in the reservoir of hydraulic structure projects, which directly affects the gypsum-rich substrates near the surface under the foundation. The flow diagram of the laboratory programme is shown in Figure 2.

Cylindrical specimens 54 mm in diameter and 135 mm high (2·13 inches dia. × 5·30 inches high) were tested at a predetermined controlled loading rate. Compression tests were performed on the normal gypsum rock and pre-saturated samples at 35, 70 and 105 d of soaking using a hydraulic compression testing machine (Instron, UK, 5584 universal testing machine) with a displacement rate of 1 mm/min and a loading rate of 0·5 mm/min. A circumferential extensometer was used to measure the radial strain of the specimens as shown in Figure 4.

Figure 4

Experimental set-up for the (a) compression test and (b) four-point bending test for the gypsum rock samples (cylinders and beams)

Figure 4

Experimental set-up for the (a) compression test and (b) four-point bending test for the gypsum rock samples (cylinders and beams)

Close modal

Based on the various research studies performed on the flexural beam rock samples, various dimensions (L × W × D) of the flexural rock samples were used (Table 1). In this study, the four-point bending test (ASTM, 2010b) with dimensions (L × W × D) of 140 mm × 40 mm × 20 mm was performed as shown in Figure 4(b). The loading rate was selected to be 0·075 MPa/s. The flexural strength (σf) of the samples was calculated using the equation

1

where σf is the flexural strength (MPa); Pmax is the load at a given point (maximum) on the load–deflection curve (N); L is the support span (mm); b is the width of the tested beam (mm); and d is the depth of the tested beam (mm) as shown in Figure 4(b).

A conductivity probe was used to measure the conductivity of the contaminated distilled water with dissoluble gypsum. The conductivity measuring range was from 0·1 to 1000 μS/cm. The device was calibrated using different standard solutions.

In order to determine the accuracy of the model predictions, both the coefficients of determination (R2) and the root mean square error (RMSE) for the model predictions as defined in Equations 2 and 3 were quantified.

2
3

where yi are the actual test data; xi are the calculated data from the model; y¯ is the mean of the actual test data; x¯ is the mean of calculated data; and N is the number of experimental data points.

The field rock sample contained gypsum (2θ peaks at 14·96, 21·00, 26·80, 36·68, 39·64, 42·52, 50·28 and 55·48°) and quartz (SiO2) (2θ peaks at 60·02 and 76·21°) as shown in Figure 5. Similar results were obtained by Koukouzas and Vasilatos (2008). Based on the XRD test results, the GC in the field sample was 96%.

Figure 5

XRD pattern of the gypsum rock

Figure 5

XRD pattern of the gypsum rock

Close modal

Using TGA, the weight loss at the rate of weight change with temperature was obtained for field gypsum rock. Weight loss in gypsum rock was analysed in four temperature ranges as shown in Figure 6. The hemihydrate was formed between 100 and 200°C when the heating rate was 10°C/min, but complete conversion below 100°C occurred when heating was very slow. A few minutes of heating above 250°C or longer between 100 and 125°C resulted in the formation of soluble anhydrite (γ-CaSO4); further heating around 360°C gave anhydrite (Khalil and Gad, 1972). Weight loss for the field gypsum rock between 25 and 120°C was 5·70%, and it was 0·75% when the temperature changed from 120 to 400°C. The weight loss for gypsum rock was 0·39% when the temperature changed from 400 to 600°C as shown in Figure 7. The total weight loss for the gypsum rock at 800°C was 7·53%, as shown in Figure 6.

Figure 6

Weight loss obtained using TGA and DTG for the gypsum rock

Figure 6

Weight loss obtained using TGA and DTG for the gypsum rock

Close modal
Figure 7

TGA test results for the gypsum rock

Figure 7

TGA test results for the gypsum rock

Close modal

The EC is a good tool to measure the capacity of water to conduct electrical current; it is related to the concentration of gypsum dissolved in 1 litre of distilled water as shown in Figure 8. The EC of the water was used to determine the amount of the gypsum (g/l) dissolved in the distilled water. Distilled water does not contain dissolved gypsum so it does not conduct electricity and has an EC of zero, as shown in Figure 8. The EC of the distilled water contaminated with dissolved gypsum was recorded every 7 d. The process of dissolution started from 0 up to 3 g of gypsum powder mixed with 1 litre of distilled water using an electrical blender. Based on the experimental data shown in Figure 8, the relationship in Equation 4 was used to predict the GC in grams per litre from the EC (μS/cm).

4
Figure 8

GC–EC relationship

Figure 8

GC–EC relationship

Close modal

According to the conducted relationship in Figure 8, the measured conductivity amount will be deducted from the total GC of soaked samples. After that, the remaining GC is achieved due to the measured dissolved gypsum per cent.

Using the 0·001 g electrical balance, the gypsum loss at the rate of weight loss with soaking time for pre-saturated samples at various confined water pressures was measured. GC (%) decreased with increasing soaking time and confined water pressure as shown in Figure 9. GC decreased from 96 to 89·5%, a 6·8% reduction, when the sample was soaked for 105 d under 0 MPa of confined water pressure as shown in Figure 9. GC decreased from 96 to 85%, an 11·5% reduction, when the rock sample was soaked for 105 d in distilled water under 0·5 MPa of confined water pressure as shown in Figure 9. The weight loss represented by the amount of gypsum lost increased by 37, 43 and 70% when the confining water pressure increased to 0·2, 0·35 and 0·5 MPa at 105 d of soaking, respectively, as shown in Figure 9. This also indicates that the rate of the gypsum dissolved increased with increasing confining water pressure.

Figure 9

Variation in weight loss for the gypsum rock plotted against soaking time for compression test samples with different confined water pressures

Figure 9

Variation in weight loss for the gypsum rock plotted against soaking time for compression test samples with different confined water pressures

Close modal

The compressive strength and the density of the normal gypsum rock samples were compared with 102 data for the different types of rock collected from literature as shown in Figure 2. With an increase in the soaking time, the compressive strength decreased. For example, it decreased from 19·6 MPa (2843 pounds per square inch (psi)) to 12·1 MPa (1755 psi), which is a 38% reduction, at 35 d of soaking at 0 MPa of confined water pressure as summarised in Table 2. The compressive strength decreased from 19·6 MPa (2843 psi) to 6·3 MPa (914 psi), which is a 68% reduction, at 105 d of soaking at 0 MPa of confined water pressure as summarised in Table 2. With the increase in the water pressure, the compressive strength decreased. The compressive strength decreased from 6·3 MPa (914 psi) to 2 MPa (290 psi), which is a 68% reduction, at 105 d of soaking when the confined water pressure increased from 0 to 0·5 MPa (73 psi), as shown in Figure 10.

Figure 10

Variation in compressive strength of the gypsum rock plotted against soaking time with different confined pressures

Figure 10

Variation in compressive strength of the gypsum rock plotted against soaking time with different confined pressures

Close modal
Table 2

Stress–strain model parameters for the gypsum rock

Vipulanandan pq model (Equation 5)β model (Equation 6)
Confined water pressure: MPaSoaking time: dGC: %σc: MPaϵc: %pqRMSE: MPaR2σc: MPaϵc: %βRMSE: MPaR2
Field sample096·0 ± 0·419·6 ± 0·90·38 ± 0·011·81 ± 0·20·84 ± 0·020·2040·9919·8 ± 1·30·38 ± 0·023·38 ± 10·4430·99
03593·6 ± 0·612·1± 10·53 ± 0·021·5 ± 0·11·13 ± 0·010·1340·9912·4 ± 1·50·55 ± 0·033·12 ± 1·30·3300·99
10589·5 ± 0·46·3± 1·50·41± 0·011·1 ± 0·11·30 ± 0·020·0510·995·2 ± 1·60·42 ± 0·012·55 ± 1·20·2370·98
0·203593·0 ± 0·57·8 ± 20·49 ± 0·031·3 ± 0·20·67 ± 0·030·0660·997·8 ± 2·10·46 ± 0·053 ± 1·10·1900·99
10587·1 ± 0·64·2 ± 1·30·33 ± 0·011 ± 0·120·47 ± 0·040·0540·994·2 ± 1·60·32 ± 0·032 ± 1·120·1110·99
0·353592·9 ± 0·86·4 ± 20·40 ± 0·031·32 ± 0·140·87 ± 0·020·0680·996·4 ± 2·10·41 ± 0·042·57 ± 1·30·1460·98
10586·7 ± 0·43·6 ± 1·30·34 ± 0·011·2 ± 0·20·97 ± 0·030·0250·993·6 ± 1·70·35 ± 0·032·41 ± 1·50·1030·99
0·503592·4 ± 0·24·9 ± 1·60·35 ± 0·021·70 ± 0·10·70 ± 0·010·0580·994·9 ± 1·80·36± 0·022·22 ± 1·30·1330·98
10585·0 ± 0·62·0 ± 1·30·31 ± 0·010·8 ± 0·150·56 ± 0·020·0390·993·2 ± 1·50·30 ± 0·022·35 ± 1·40·0650·99

With the increase in soaking time, the initial modulus of elasticity decreased. It decreased from 5297 to 3335 and 1600 MPa, 37 and 70% reductions, at 35 and 105 d of soaking, respectively, at 0 MPa of confined water pressure, as shown in Figure 11. Increasing the confined water pressure from 0 to 0·5 MPa decreased the initial modulus of elasticity of the samples by 43 and 50% at 35 and 105 d of soaking, respectively, as shown in Figure 11. The initial modulus of elasticity of the gypsum rocks decreased with increasing soaking time and confined water pressure, as shown in Figure 11.

Figure 11

Variation in initial compressive modulus of the gypsum rock plotted against soaking time for compression test samples with different confined pressures

Figure 11

Variation in initial compressive modulus of the gypsum rock plotted against soaking time for compression test samples with different confined pressures

Close modal

In this study, the pre-saturated gypsum rock with four different confining water pressures after various soaking times exhibited a strain-softening behaviour, as shown in Figures 12 and 13.

Figure 12

Comparison of experimental stress–strain and model predictions for the gypsum rock

Figure 12

Comparison of experimental stress–strain and model predictions for the gypsum rock

Close modal
Figure 13

Comparison of experimental stress–strain and models prediction for the gypsum rock with different confined water pressures: (a) P = 0 MPa; (b) P = 0·2 MPa; (c) P = 0·35 MPa; (d) P = 0·5 MPa

Figure 13

Comparison of experimental stress–strain and models prediction for the gypsum rock with different confined water pressures: (a) P = 0 MPa; (b) P = 0·2 MPa; (c) P = 0·35 MPa; (d) P = 0·5 MPa

Close modal

Vipulanandan pq model

Based on experimental results, the model proposed by Vipulanandan and Paul (1990) was used to predict the stress–strain behaviour of gypsum rock with four different confining water pressures at different soaking times (Equation 5). The model is defined as follows

5

where σ is the compressive stress, ϵ is the axial strain (%), σc and ϵc are the compressive strength and the corresponding strain, respectively, and p and q are material parameters.

The parameter q was defined as the ratio of the secant modulus at peak stress to the initial tangent modulus. The parameter p was obtained by minimising the error in the predicted stress–strain relationship. Hence, the parameters p and q in Equation 5 were determined based on the stress–strain behaviour of gypsum rock with different soaking times, confined water pressures, RMSEs and coefficients of determination R2 and are summarised in Table 2. The parameters p and q are influenced by GC (%), as summarised in Table 2. The shape of the stress–strain curve can be changed based on the p and q values as shown in Figure 14(a).

Figure 14

Compressive stress–strain relationships: (a) Vipulanandan pq model and (b) β model

Figure 14

Compressive stress–strain relationships: (a) Vipulanandan pq model and (b) β model

Close modal
PARAMETER p

For gypsum rock with different percentages of GC, the parameter p was in the range 0·80–1·81, as summarised in Table 2. Hence, the descending part of the strain-softening stress–strain relationship for the saturated samples was steeper compared to that for the normal gypsum rock samples. For the normal gypsum rock samples with 96% GC, p was 1·81 and was reduced to 0·8 when the GC was 85%, as summarised in Table 2. The parameter p and GC were correlated using Equation 8, and model parameters, RMSE and coefficients of determination (R2) are summarised in Table 2.

PARAMETER q

This parameter represents the non-linear behaviour of the gypsum rock up to the peak stress. For gypsum rock with different percentages of GC, the parameter q was in the range 0·47–1·30, as summarised in Table 2, and indicates that the material behaviour is more linear with soaking time and confining water pressure. For the normal gypsum rock sample with 96% GC, q was 0·84 and was reduced to 0·56 when the GC was 85%, as summarised in Table 2. The parameter q and GC were correlated using Equation 8, and model parameters, RMSE and coefficient of determination (R2) are summarised in Table 2.

β method

Ezeldin and Balaguru (1992) proposed an analytical equation (Equation 7) to generate the stress–strain curve for the normal strength of steel-fibre-reinforced concrete based on the equation proposed by Carreira and Chu (1985) for uniaxial compression of plain concrete. This equation involves the material parameter β, which is the slope of the inflection point at the descending branch of the shear stress relationship.

6

where σ is the compressive stress, σc and ϵc are the compressive strength and the corresponding strain, respectively, and β is a material parameter.

The stress–strain relationship for gypsum rock in different soaking times and four different confined water pressures and the model predictions are shown in Figures 11 and 12.

PARAMETER β

For the normal gypsum rock sample, parameter β was 3·38. It decreased to 2·55 when the sample was kept in distilled water for 105 d, as summarised in Table 2. The parameter β varied from 2 to 3 when the soaking time varied between 0 and 105 d under confined water pressure varying from 0 to 0·5 MPa, as summarised in Table 2. The shape of the stress–strain curve can be changed based on the β value, as shown in Figure 14(b).

Normal gypsum rock

The compressive strength (σc) of the normal gypsum rock sample with a density of 2·3 g/cm3 and GC of 96% was 19·6 MPa, as shown in Figure 11. The compressive stress–strain behaviour of the normal gypsum rock sample was modelled using the Vipulanandan pq model (Equation 5). The coefficient of determination (R2) was 0·99, as summarised in Table 1. The RMSE was 0·204 MPa, as summarised in Table 2. The model parameters p and q for normal gypsum rock were 1·81 and 0·84, respectively, as summarised in Table 1. The Vipulanandan pq model (Equation 5) predicted the stress–strain behaviour of the normal gypsum rock sample very well, as shown in Figure 12.

Pre-saturated samples

CONFINED WATER PRESSURE OF 0 MPa

The compressive stress–strain behaviour of the pre-saturated gypsum rock with three different soaking times of 35, 70 and 105 d was modelled using the Vipulanandan pq model (Equation 5). The coefficients of determination (R2) were 0·99, as summarised in Table 2. The RMSE varied between 0·051 and 0·134 MPa, as summarised in Table 2. The model parameter p for pre-saturated gypsum rock with three different soaking times varying between 1·1 and 1·5 is summarised in Table 2. The model parameter q for pre-saturated gypsum rock with three different soaking times varying between 1·13 and 1·30 is summarised in Table 2.

CONFINED WATER PRESSURE OF 0·5 MPa

The compressive strength (σc) of the pre-saturated gypsum rock sample decreased by 50% when the sample was soaked in distilled water for 35 d under 0·5 MPa of confined water pressure, as summarised in Table 2. The compressive stress–strain behaviour of the pre-saturated gypsum rock with three different soaking times of 35, 70 and 105 d was modelled using the Vipulanandan pq model (Equation 5). The coefficients of determination (R2) for all samples were 0·99, as summarised in Table 2. The RMSE varied between 0·025 and 0·068 MPa, as summarised in Table 2. The model parameter p for gypsum rock with three different soaking times varied between 0·8 and 1·7, as summarised in Table 2. The model parameter q for the pre-saturated gypsum rock with three different soaking times varied between 0·58 and 0·97, as summarised in Table 2. The Vipulanandan pq model (Equation 5) predicted the stress–strain behaviour of the pre-saturated gypsum rock very well (Figure 12(d)).

LINEAR MODEL PARAMETERS

The model parameters σc, ϵc, p, q and β and initial modulus of elasticity (Ei) were influenced by the GC (%). It is being proposed to relate the model parameters to the independent variables (GC (%)), soaking time (t) (d) and confining water pressure (P) (MPa)) using a linear relationship as proposed.

The effects of GC, soaking time and confining water pressure were separated as follows

7

where k is the initial model parameter for gypsum rock (normal gypsum rock) and a, b and c are the linear model (LM) parameters. The LM parameters were obtained from multiple regression analyses using the least-squares method. The LM parameters and coefficient of determination (R2) and RMSE are summarised in Table 3.

Table 3

Linear compression and flexural strength model (Equation 8) parameters for the gypsum rock

Model parameterskabcNumber of dataRMSER2
Equation 5p2·1−0·003−0·007−0·41120·0810·88
q−12·90·140·013−0·27130·0790·87
σc: MPa81·7−0·73−0·11−11·5120·3110·96
ϵc: %2·22−0·017−0·003−0·35110·0180·89
Ei: MPa42 974−398−57−4684132300·95
Equation 6σc: MPa109−1·0−0·13−13·2120·3800·94
ϵc: %1·76−0·012−0·002−0·36110·0200·88
β22·5−0·20−0·02−2·26120·0600·97

Stress–strain data from all the finished tests in Table 2 are utilised to produce the corresponding p and q values by regression analysis following Equation 5. Then, these p, q, σc and ϵc values are used to train Equation 7 to get the value of the parameters k, a, b and c. Secondly, for any other untested gypsum sample provided with GC, soaking time and confining water pressure, the p, q, σc and ϵc values of that untested gypsum sample will be derived by applying those values of k, a, b and c obtained in the first step into Equation 7. Finally, these new p, q, σc and ϵc values can be used to predict the stress–strain curve of that untested gypsum sample by following Equation 5.

Volume loss (%)

A 0·01 mm digital vernier calliper was used to measure the volume of the flexural gypsum rock beams with dimensions (L × W × D) of 140 mm × 40 mm × 20 mm. The rate of volume change with soaking time for pre-saturated samples at various confined water pressures was measured. Volume loss in saturated gypsum rock at different confined water pressures was evaluated in three time interval ranges, as shown in Figure 15. The volume reductions (%) of the gypsum rock at 0 MPa confined water pressure were 2·2, 4·7 and 7·3 after 35, 70 and 105 d of soaking, respectively, as shown in Figure 13. The volume loss of the samples increased with increasing confining water pressure at the same soaking time, as shown in Figure 16. Based on the test results, the flexural strength of the samples decreased by 33% for a soaking time of 105 d at 0·5 MPa of confined water pressure, as shown in Figure 16.

Figure 15

Variation in volume reduction of the gypsum rock plotted against soaking time for flexural test samples with different confined water pressures

Figure 15

Variation in volume reduction of the gypsum rock plotted against soaking time for flexural test samples with different confined water pressures

Close modal
Figure 16

Relationship between flexural strength of the gypsum rock plotted against soaking time with different confined water pressures

Figure 16

Relationship between flexural strength of the gypsum rock plotted against soaking time with different confined water pressures

Close modal

Two- and three-parameter hyperbolic relationships (Equation 8) have been used for decades to correlate the changes in material properties with and without additives (Vipulanandan and Krishan, 1993; Vipulanandan and Mohammed, 2015a, 2015b).

The variation in flexural strength with soaking time was represented using the proposed hyperbolic model (Equation 8) and the parameters; the coefficient of determination (R2) and RMSE are summarised in Table 4.

8

where σf is the flexural strength (MPa), σfo is the initial flexural strength (normal gypsum rock sample) (MPa) and A and B are the flexural strength hyperbolic model parameters.

Table 4

Non-linear flexural strength model parameters (Equation 8) for the gypsum rock

Confined water pressure: MPaσfoABRMSER2
010·80·097·830·1800·99
0·210·80·083·720·2130·99
0·3510·80·083·120·1270·99
0·5010·80·072·600·0160·99

Based on the test results of the variation in flexural strength (σf) with the compressive strength (σc), Figure 17 is represented by the following non-linear hyperbolic relationship between flexural strength and compressive strength for the gypsum rocks.

9
Figure 17

Relationship between compression strength and flexural strength of the gypsum rock

Figure 17

Relationship between compression strength and flexural strength of the gypsum rock

Close modal

In this study, the effect of soaking time and confined water pressure of pre-saturated gypsum rock was characterised and quantified. Based on the experimental and analytical data and the compressive and flexural strength behaviour of the gypsum rocks, the following conclusions are advanced.

  • Based on the TGA test results, the highest weight loss of the sample was observed between 25 and 120°C, which was 5·7%. The total weight loss of the gypsum rock was 7·53% at 800°C.

  • GC decreased with increasing soaking time and confined water pressure. The GC decreased by 11% when the sample was subjected to 0·5 MPa confined water pressure for 105 d of soaking.

  • The compressive strength of gypsum rock decreased by 50 and 68% when the samples were subjected to 0·5 MPa of confined water pressure for 35 and 105 d, respectively.

  • The initial modulus of elasticity of gypsum rock decreased by 70% when the samples were subjected to 0 MPa of confined water pressure for 105 d of soaking. The initial modulus of elasticity of gypsum rock decreased by 43 and 50% when the samples were subjected to 0·5 MPa of confined water pressure for 35 and 105 d, respectively.

  • The flexural strength of gypsum rock decreased by 61 and 91% when the samples were subjected to 0·5 MPa of confined water pressure for 35 and 105 d, respectively.

  • GC decreased with increasing soaking time and confined water pressure. The GC decreased by 11% when the samples were subjected to 0·5 MPa confined water pressure for 105 d of soaking.

  • Based on the RMSE and R2, the non-linear Vipulanandan model (pq model) predicted the stress–strain behaviour of gypsum rock at different soaking times and confined water pressures very well. The model parameters were sensitive to the GC.

  • The compressive strength and flexural strength of the normal gypsum rock decreased with increasing soaking time and confined water pressure.

Agustawijaya
DS
2007
The uniaxial compressive strength of soft rock
Civil Engineering Dimension
9
1
9
 -
14
Ali
SA
1979
Creep Properties of Evaporite Rocks with Particular Reference to Gypsum. PhD thesis
University of Sheffield
Sheffield, UK
Aliha
MRM
,
Ayatollahi
MR
,
Kharazi
B
2009
Numerical and experimental investigations of mixed mode fracture in granite using four-point-bend specimen
Damage and Fracture Mechanics: Failure Analysis of Engineering Materials and Structures
Boukharouba
T
,
Elboujdaini
M
,
Pluvinage
G
Springer
Dordrecht, the Netherlands
275
 -
283
Al-Layla
MT
,
Thabet
KM
1990
Formation of cavities in the alluvial deposits in Mosul City
Proceedings of the 2nd Science Conference of Mosul Dam Research Centre
Mosul, Iraq
172
 -
185
ASTM
2010a
D 7012-10: Standard test method for compressive strength and elastic moduli of intact rock core specimens under varying states of stress and temperatures
ASTM International
West Conshohocken, PA, USA
ASTM
2010b
D 6272-10: Standard test method for flexural properties of unreinforced and reinforced plastics and electrical insulating materials by four-point bending
ASTM International
West Conshohocken, PA, USA
Bell
FG
1994
A survey of the engineering properties of some anhydrite and gypsum from the north and midlands of England
Engineering Geology
38
1–2
1
 -
23
Bieniawski
ZT
1967
Stability concept of brittle fracture propagation in rock
Engineering Geology
2
3
149
 -
162
Biolzi
L
,
Cattaneo
S
,
Rosati
G
2001
Flexural/tensile strength ratio in rock-like materials
Rock Mechanics and Rock Engineering
34
3
217
 -
233
Biolzi
L
,
Labuz
JF
,
Muciaccia
G
2011
A problem of scaling in fracture of damaged rock
International Journal of Rock Mechanics and Mining Sciences
48
3
451
 -
457
Brady
BH
,
Brown
ET
2013
Rock Mechanics: for Underground Mining
Springer
Dordrecht, the Netherlands
Carreira
DJ
,
Chu
KH
1985
Stress–strain relationship for plain concrete in compression
Journal of the American Concrete Institute
82
6
797
 -
804
Chen
YL
,
Azzam
R
2007
Creep fracture of sandstones
Theoretical and Applied Fracture Mechanics
47
1
57
 -
67
Cho
N
,
Martin
CD
,
Sego
DC
,
Jeon
J
2010
Dilation and spalling in axially compressed beams subjected to bending
Rock Mechanics and Rock Engineering
43
2
123
 -
133
Cooper
AH
,
Saunders
JM
2002
Road and bridge construction across gypsum karst in England
Engineering Geology
65
2
217
 -
223
Coviello
A
,
Lagioia
R
,
Nova
R
2005
On the measurement of the tensile strength of soft rocks
Rock Mechanics and Rock Engineering
38
4
251
 -
273
Dreybrodt
W
,
Romanov
D
,
Gabrovsek
F
2002
Karstification below dam sites: a model of increasing leakage from reservoirs
Environmental Geology
42
5
518
 -
524
Dusseault
MB
2011
Geomechanical challenges in petroleum reservoir exploitation
KSCE Journal of Civil Engineering
15
4
669
 -
678
Efimov
VP
2009
The rock strength in different tension conditions
Journal of Mining Science
45
6
569
 -
575
Elizzi
MAS
1976
The Time Dependent Behaviour of Some Evaporite Rocks. PhD thesis
University of Sheffield
Sheffield, UK
Ezeldin
AS
,
Balaguru
PN
1992
Normal-and high-strength fiber-reinforced concrete under compression
Journal of Materials in Civil Engineering
4
4
415
 -
429
Fengxiang
C
,
Mingjiang
W
1983
Investigation of the engineering properties of a dam foundation containing gypsum seams
Rock Mechanics and Rock Engineering
16
4
275
 -
280
Gumusoglu
MC
,
Ulker
R
1982
The investigation of the effect of gypsum on foundation design
Bulletin of the International Association of Engineering Geology – Bulletin de l’Association Internationale de Géologie de l’Ingénieur
25
1
99
 -
105
HaiFei
Z
,
TiYu
D
,
Yuan
L
,
Qiang
S
2009
Abrupt solubility of gypsum in water at high pressure and ambient temperature and its implication
Acta Petrologica Sinica
25
5
1288
 -
1290
Hawkes
I
,
Mellor
M
1970
Uniaxial testing in rock mechanics laboratories
Engineering Geology
4
3
179
 -
285
Heidari
M
,
Khanlari
GR
,
Torabi Kaveh
M
,
Kargarian
S
2012
Predicting the uniaxial compressive and tensile strengths of gypsum rock by point load testing
Rock Mechanics and Rock Engineering
45
2
265
 -
273
Ingebritsen
SE
,
Sanford
WE
1999
Groundwater in Geologic Processes
Cambridge University Press
Cambridge, UK
Jaworska
J
2010
An oxygen and sulfur isotopic study of gypsum from the Wapno Salt Dome cap-rock (Poland)
Geological Quarterly
54
1
25
 -
32
Johnson
KS
2005
Subsidence hazards due to evaporite dissolution in the United States
Environmental Geology
48
3
395
 -
409
Khalil
AA
,
Gad
GM
1972
Gypsum plasters: I. preparation of β-hemihydrates
Journal of Applied Chemistry and Biotechnology
22
6
697
 -
701
Klimchouk
A
1996
The dissolution and conversion of gypsum and anhydrite
International Journal of Speleology
25
3–4
21
 -
36
Koukouzas
N
,
Vasilatos
C
2008
Mineralogical and chemical properties of FGD gypsum from Florina, Greece
Journal of Chemical Technology and Biotechnology
83
1
20
 -
26
Liang
W
,
Zhang
C
,
Gao
H
, et al
2012
Experiments on mechanical properties of salt rocks under cyclic loading
Journal of Rock Mechanics and Geotechnical Engineering
4
1
54
 -
61
Lundborg
N
1967
The strength–size relation of granite
International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts
4
3
269
 -
272
Mebarkia
S
,
Vipulanandan
C
1992
Compressive behavior of glass-fiber reinforced polymer concrete
Journal of Materials in Civil Engineering
4
1
91
 -
105
Mohammed
A
,
Mahmood
W
2018a
Vipulanandan failure models to predict the tensile strength, compressive modulus, fracture toughness and ultimate shear strength of calcium rocks
International Journal of Geotechnical Engineering
Mohammed
A
,
Mahmood
W
2018b
Statistical variations and new correlation models to predict the mechanical behavior and ultimate shear strength of gypsum rock
Open Engineering
8
1
213
 -
226
Mohammed
AS
,
Vipulanandan
C
2014
Compressive and tensile behavior of polymer treated sulfate contaminated CL soil
Geotechnical and Geological Engineering
32
1
71
 -
83
Mohammed
A
,
Vipulanandan
C
2015
Testing and modelling the short-term behavior of lime and fly ash treated sulfate contaminated CL soil
Geotechnical and Geological Engineering
33
4
1099
 -
1114
Moonen
P
2009
Continuous–Discontinuous Modelling of Hygrothermal Damage Processes in Porous Media. PhD thesis
Delft University of Technology
Delft, the Netherlands
Özkan
I
,
Özarslan
A
,
Geniş
M
,
Özşen
H
2009
Assessment of scale effects on uniaxial compressive strength in rock salt
Environmental & Engineering Geoscience
15
2
91
 -
100
Rauh
F
,
Spaun
G
,
Thuro
K
2006
Assessment of the swelling potential of anhydrite in tunnelling projects
Proceedings of the 10th IAEG Congress
Nottingham, UK
paper no. 473
Salih
NB
,
Collins
PE
,
Kershaw
S
2015
Dissolution influences on gypsum rock under short and long-term loading: implications for dams
Engineering Geology for Society and Territory – Volume 6: Applied Geology for Major Engineering Projects
Lollino
G
,
Giordan
D
,
Thuro
K
, et al
Springer
Cham, Switzerland
779
 -
783
Shafiei
A
,
Dusseault
MB
,
Baghdardokht
Z
2008
Geotechnical properties of soluble rocks from a dam site in Iran
Proceedings of the 42nd US Rock Mechanics Symposium (USRMS)
San Francisco, CA, USA
Singh
VK
,
Singh
DP
1993
Correlation between point load index and compressive strength for quartzite rocks
Geotechnical and Geological Engineering
11
4
269
 -
272
Vásárhelyi
B
,
Ván
P
2006
Influence of water content on the strength of rock
Engineering Geology
84
1
70
 -
74
Vipulanandan
C
,
Krishnan
S
1993
XRD analysis and leachability of solidified phenol–cement mixtures
Cement and Concrete Research
23
4
792
 -
802
Vipulanandan
C
,
Mohammed
A
2015a
Smart cement modified with iron oxide nanoparticles to enhance the piezoresistive behavior and compressive strength for oil well applications
Smart Materials and Structures
24
12
125020
Vipulanandan
C
,
Mohammed
A
2015b
XRD and TGA, swelling and compacted properties of polymer treated sulfate contaminated CL soil
Journal of Testing and Evaluation
44
6
2270
 -
2284
Vipulanandan
C
,
Ozgurel
HG
2009
Simplified relationships for particle-size distribution and permeation groutability limits for soils
Journal of Geotechnical and Geoenviromental Engineering
135
9
1190
 -
1197
Vipulanandan
C
,
Paul
E
1990
Performance of epoxy and polyester polymer concrete
Materials Journal
87
3
241
 -
251
Vipulanandan
C
,
Usluogullari
OF
2011
Stress–strain behavior and California bearing ratio of artificially cemented sand
Journal of Testing and Evaluation
39
4
637
 -
645
Whittles
DN
,
Kingman
S
,
Lowndes
I
,
Jackson
K
2006
Laboratory and numerical investigation into the characteristics of rock fragmentation
Minerals Engineering
19
14
1418
 -
1429
Xeidakis
GS
,
Samaras
IS
,
Zacharopoulos
DA
,
Papakaliatakis
GE
1996
Crack growth in a mixed-mode loading on marble beams under three point bending
International Journal of Fracture
79
2
197
 -
208
Yılmaz
I
2001
Gypsum/anhydrite: some engineering problems
Bulletin of Engineering Geology and the Environment
60
3
227
 -
230
Yılmaz
I
,
Sendır
H
2002
Correlation of Schmidt hardness with unconfined compressive strength and Young’s modulus in gypsum from Sivas (Turkey)
Engineering Geology
66
3–4
211
 -
219
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