...Tasneem Firdous Islam; G.D. Kedar Purpose This paper aims to contribute novel insights into the analysis of thin functionally graded material (FGM) plates with variable thickness, considering both temperature-dependent and independent material properties, focusing on critical linear buckling...

... conductivity and temperature, towards the prediction of soil compaction degree. Design/methodology/approach Taking fine-grained soil A and B as the research object, this paper utilized the laboratory test data, including compaction parameter (moisture content), electrical parameter (electrical conductivity...

... between the lattice Boltzmann method and the finite difference method. Design/methodology/approach The multiple‐relaxation‐time (MRT) lattice Boltzmann equation model coupled with the finite difference method are used to predict numerically the velocity and the temperature fields. Findings...

... conditions: velocities, temperature, predicted mean vote (PMV), predicted percentage of dissatisfied (PPD), draught rating (DR), PPD due to air quality (PDQ) and air moisture content are calculated simultaneously. The differential equations previously described were integrated over non‐overlapping control...

...Huamin Zhou; Shubiao Cui; Dequn Li Purpose This paper aims to develop an integrated cooling simulation for the temperature history of the panel during the forming process. Design/methodology/approach A local one‐dimensional transient analysis in the thickness direction is adopted for the panel...

... and the Chaboche constitutive viscoplastic model taking the temperature fields into account are used for computations. An effective procedure using the central difference method of solving the equations of motion is applied. The trapezoidal method is used to integrate the constitutive viscoplastic law. A nine node...

...Fred F. Farshad; James D. Garber; Juliet N. Lorde A novel approach using artificial neural networks (ANNs) for predicting temperature profiles evaluated 27 wells in the Gulf of Mexico. Two artificial neural network models were developed that predict the temperature of the flowing fluid at any depth...

...Chongbin Zhao; B.E. Hobbs; H.B. Mühlhaus; A. Ord; Ge Lin Numerical methods are used to solve double diffusion driven reactive flow transport problems in deformable fluid‐saturated porous media. In particular, the temperature dependent reaction rate in the non‐equilibrium chemical reactions...