... and internal friction angle of surrounding rocks. The random fields were incorporated into a two-dimensional numerical model, and 65,100 Monte Carlo simulations were performed to evaluate tunnel responses under various stratigraphic dip angles and Kendall correlation coefficients. The probability of tunnel...

... of contact pairs. Combined with Monte Carlo Simulation, the stiffness reliability evaluation method considering contact pairs wear is proposed, and the result of this method is verified by the stiffness reliability result deduced from the stiffness degradation measurement data. Findings Considering...

... assessment on the large deformation failure process of slope with spatially variable soils is a challenging problem. Design/methodology/approach Combining the Monte Carlo simulation (MCS) and the higher-order material point method – the B-spline Material Point Method (BSMPM) – the concept of MC-BSMPM...

... or uncertain data are not available. Also, Cornell’s and HDMR methods are presented for producing fragility curves with fewer nonlinear dynamic analyses of structures under earthquake excitation. Monte Carlo simulation Cornell’s method Fragility curve High-dimensional model representation method...

... with stochastic FE approach significantly reduced the computational time (more than 1/18 times) compared to direct Monte Carlo simulation approach. Originality/value The stochastic results for dynamic stability of sandwich plates show that the inevitable source uncertainties present in the input parameters...

... was proposed to estimate the strength of NSC and HSC under different triaxial loadings. After verifying the validity of the model by making comparisons with the models in the literature, reliabilities of all models were investigated. The Monte Carlo simulation method was used in the reliability studies...

... increment Δ U . Dr I. Doltsinis can be contacted at: doltsinis@ica.uni‐stuttgart.de © Emerald Group Publishing Limited 2012 Stochastic processes Probabilistic analysis Simulation Randomness in engineering systems and processes Monte Carlo simulation Taylor approximation Reliability...

... method is a hybrid method, consisting of the improved Monte Carlo simulation method and forward process analysis method. Findings The proposed algorithm can obtain more information about the cable forces at different construction stages than the commonly used deterministic method, and it provides...

... of the screening surface. Before presenting examples of applications, let us point out some specific aspects of the code. Heat transfer Boundary‐elements methods Monte Carlo simulation Thermal conductivity 1. In 2D as in 3D, two options are considered for treatment of screening effects...

...Y.C. Soh; Y.C. Lam; Zhang Wu Monte Carlo simulation (MCS) has been widely used in probabilistic analysis of the input‐output relationship of a complex function in various applications where probability distributions of the inputs are known. However, MCS is time‐consuming for complex analysis...

..., the probabilistic moments of global effective properties of the entire composite are estimated, thanks to the traditional Monte Carlo simulation method implementation. Numerical experiments show that introduction of the interface defects results in significant increase of randomness level of the composite...