Paper
25 August 2009 Identification of elasto-plastic mechanical properties for bimetallic sheets by hybrid-inverse approach
H. L. Zhang, Y. Q. Wang, Y. L. Kang, X. H. Lin, W. C. Jin
Author Affiliations +
Proceedings Volume 7375, ICEM 2008: International Conference on Experimental Mechanics 2008; 73756O (2009) https://doi.org/10.1117/12.839387
Event: International Conference on Experimental Mechanics 2008 and Seventh Asian Conference on Experimental Mechanics, 2008, Nanjing, China
Abstract
Analysis, evaluation and interpretation of measured signals become important components in engineering research and practice, especially for those material characteristic parameters which can not be obtained directly by experimental measurements. The present paper proposes a hybrid-inverse analysis method to the identification of the nonlinear material parameters of any individual component from the mechanical responses of a global composite. The method couples experimental approach, numerical simulation with inverse search method. The experimental approach is used to provide basic data which parameter identification and numerical simulation is utilized to identify elasto-plastic material properties by means of experimental data obtained and inverse searching algorithm. A numerical example of a stainless steel clad copper sheet is considered to verify and show the applicability of the proposed hybrid-inverse method. In this example, a set of material parameters in an elasto-plastic constitutive model have been identified by using the obtained experimental data.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. L. Zhang, Y. Q. Wang, Y. L. Kang, X. H. Lin, and W. C. Jin "Identification of elasto-plastic mechanical properties for bimetallic sheets by hybrid-inverse approach", Proc. SPIE 7375, ICEM 2008: International Conference on Experimental Mechanics 2008, 73756O (25 August 2009); https://doi.org/10.1117/12.839387
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KEYWORDS
Composites

Metals

Copper

Data modeling

Numerical simulations

Inverse problems

Analytical research

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