Shen Shang

TL;DR: The proposed method can significantly reduce dimensionality of the stochastic domain and efficiently predict probability density functions of the structural response under material uncertainties through Monte Carlo simulations combined with the Latin hypercube sampling technique.

TL;DR: In this paper, a self-optimizing inverse analysis methodology called Self-OPTIM is presented, which inversely estimates cyclic elasto-plastic constitutive model parameters using global forces and displacement on the same partial boundaries and full or partial field displacement data.

TL;DR: In this paper, a continuous relative wavelet entropy-based reference-free damage detection algorithm for truss bridge structures is proposed, which is suitable for highly nonlinear and nonstationary random response data due to the multiresolution signal analysis feature of the continuous wavelet transform.

TL;DR: In this article, a model-based delamination detection methodology is presented for laminated composite plates and its performance is studied both numerically and experimentally, where a modal analysis of an undamaged baseline finite element (FE) model and experimental modal testing of panels with delamination damage at single or multiple locations are performed.

TL;DR: In this article, experimental and numerical studies are conducted to study the damage and failure behavior of a laminated T700/BA9912 composite under low-velocity impact, and the numerical simulation reveals the delamination, matrix damage, and fiber breakage process in the material.