Mingliang Jiang¹, Zhujiang Wang^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.08949

Abstract This work deals with the parameter identification of invariant-based hyperelastic materials using the virtual fields method (VFM). Combined with the full-field deformation data obtained from the digital image correlation (DIC), VFM has been utilized to characterize the mechanical properties of hyperelastic materials [1]. In the conventional formulation of the VFM, the calculation of the internal virtual work (IVW) needs to obtain the stress and conjugate virtual strains, which requires a lot of calculation and derivation work. In this paper, the VFM is reformulated by calculating the IVW through the variation of elastic energy, which is More >

Taotao Yuan¹, Haitian Yang¹, Yiqian He^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09275

Abstract Computational modeling can provide insight into understanding the damage mechanisms of soft biological tissues, and identification of constitutive parameters is key issues in the computational modeling. On the other hand, although it is thought that computational model should be non-local for soft tissues based on the existence of intrinsic length scales, there is very few work for the identification of the parameters of nonlocal damage models of soft tissues. Firstly, we use the gradient-enhanced damage model presented in our previous publication showing advantages in considering the internal length scales and in satisfying mesh independence for More >