文献类型：期刊文献

英文题名：Investigation of the mechanical properties of steel using instrumented indentation test with simulated annealing particle swarm optimization

作者：Huang, L. Y.[1];Guan, K. S.[1];Xu, T.[2];Zhang, J. M.[1];Wang, Q. Q.[1]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Meilong Rd 130, Shanghai 200237, Peoples R China;[2]China Special Equipment Inspect & Res Inst, XunQiang Rd 1, Beijing 100013, Peoples R China

年份：2019

卷号：102

起止页码：116

外文期刊名：THEORETICAL AND APPLIED FRACTURE MECHANICS

收录：;EI(收录号：20191706818695);WOS:【SCI-EXPANDED(收录号:WOS:000480512300012)】；

基金：The authors of this paper would like to express their Acknowledgement to Natural Key R&D program of China (2018YFC0808800) for the funding.

语种：英文

外文关键词：Instrumented indentation test; Optimization algorithm; Mechanical properties

摘要：A methodology is proposed to obtain mechanical properties of bulk materials from multiple loading-unloading curves of an instrumented indentation test (IIT). The mechanical properties, including strain-hardening exponent (n) and strain-hardening rate (K), were extracted from IIT data using iterative fmite element simulation coupled with a simulated annealing swarm particle optimization. A systematical study was carried out to discuss the uniqueness of the identified properties. Results showed that the mechanical properties obtained in this way are unique and accurate adequately. It was found that the maximum errors of K and n generated from the macro indentation tests are 8.2% and 6.3% respectively. The identified mechanical properties from ten loading-unloading curves was compared with those obtained from a single loading-unloading curve. We found that ten loading-unloading cycles of an indentation test will result in more precise mechanical properties.