Lijun Xiao^1,*, Weidong Song¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.010981

Abstract Additively-manufactured microlattice materials have attracted much attention due to their outstanding mechanical properties and energy absorption capacity. Considering the high cost of 3D printing, numerical simulation has become the most common approach for predicting and optimizing the mechanical performance of micro-lattice materials. The current study provides an efficient method to incorporate the printing process induced geometric defects in the lattice models. Numerical simulations are performed to precisely predict the mechanical response of the printed microlattice materials under quasi-static and dynamic loadings. Furthermore, the microlattice structures are graphically represented based on their mesoscopic structural characteristics. Accordingly, More >

Safwan Al-sayed, Xi Wang, Yijiang Peng^*

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4169-4195, 2024, DOI:10.32604/cmc.2024.048916 - 20 June 2024

Abstract The mechanical properties and failure mechanism of lightweight aggregate concrete (LWAC) is a hot topic in the engineering field, and the relationship between its microstructure and macroscopic mechanical properties is also a frontier research topic in the academic field. In this study, the image processing technology is used to establish a micro-structure model of lightweight aggregate concrete. Through the information extraction and processing of the section image of actual light aggregate concrete specimens, the mesostructural model of light aggregate concrete with real aggregate characteristics is established. The numerical simulation of uniaxial tensile test, uniaxial compression… More >

Somchai Sriyab¹, Wannapong Triampo²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.3, pp. 51-52, 2009, DOI:10.3970/icces.2009.013.051

Abstract Understanding of Bacteria cell division is essential for an understanding of microorganism as well as the origin of the life. Particularly, in cell division process of \emph {E. coli}, Min proteins (MinD and MinE) play crucial roles to regulate the dividing dynamics physically via their oscillatory dynamics from pole to pole. In this work, we have developed a numerical scheme based on the mesoscopic Lattice Boltzmann Method (LBM) to simulate the coarse-grained coupled reaction-diffusion equations model used to describe the MinD/MinE interaction in two dimensions. Biologically, we have focused on investigating how the protein copies More >