文献类型：期刊文献

英文题名：Study of the Mechanical Properties of Wood under Transverse Compression Using Monto Carlo Simulation-Based Stochastic FE Analysis

作者：Wu, Guofang[1] Shen, Yinlan[2] Fu, Feng[1] Guo, Juan[1] Ren, Haiqing[1]

第一作者：武国芳

通信作者：Wu, GF[1]

机构：[1]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100090, Peoples R China;[2]Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China

年份：2022

卷号：13

期号：1

外文期刊名：FORESTS

收录：;EI(收录号：20220211448553);Scopus(收录号：2-s2.0-85122422394);WOS:【SCI-EXPANDED(收录号:WOS:000747117900001)】；

基金：FundingThis work was funded by the Chinese Academy of Forestry Fundamental Research Fund (Grant No. CAFYBB2020ZA003) and the National Natural Science Foundation of China (Grant No. 31890772).

语种：英文

外文关键词：wood; compression perpendicular to grain; Monte Carlo Simulation; finite element method; stochastic FE

摘要：Wood is an anisotropic material, the mechanical properties of which are strongly influenced by its microstructure. In wood, grain compression strength and modulus are the weakest perpendicular to the grain compared to other grain directions. FE (finite element) models have been developed to investigate the mechanical properties of wood under transverse compression. However, almost all existing models were deterministic. Thus, the variations of geometry of the cellular structure were not considered, and the statistical characteristic of the mechanical property was not involved. This study aimed to develop an approach to investigate the compression property of wood in a statistical sense by considering the irregular geometry of wood cells. First, the mechanical properties of wood under radial perpendicular to grain compression was experimentally investigated, then the statistical characteristic of cell geometry was extracted from test data. Finally, the mechanical property of wood was investigated using the finite element method in combination with the Monte Carlo Simulation (MCS) techniques using randomly generated FE models. By parameter sensitivity analysis, it was found that the occurrence of the yield points was caused by the bending or buckling of the earlywood axial tracheid cell wall in the tangential direction. The MCS-based stochastic FE analysis was revealed as an interesting approach for assessing the micro-mechanical performance of wood and in assisting in understanding the mechanical behavior of wood based on its hierarchical structure.