With the breadth of applications and analysis performed over the last few decades, it would
not be an exaggeration to call piezoelectric materials “the top of the crop” of smart materials …

Structural defect identification is a vital aspect of structural health monitoring used to assess
the safety of engineering structures. However, quantitatively determining the dimensions of …

This paper proposes a method, based on multi-modal analysis, which permits assessing
damages in beams subjected to axial forces induced by temperature changes. The effect of …

A numerical scheme is proposed for the detection of multiple cracks in three dimensional
(3D) structures. The scheme is based on a variant of the extended finite element method …

In the present work, a novel load-controlled iteration scheme within the framework of
extended finite element method (XFEM) is proposed to model the semipermeable crack in a …

The identification of internal structural flaws is an important research topic in structural health
monitoring. At present, structural safety inspections based on nondestructive testing …

In this article, we propose a data-driven multi-flaw detection strategy based on deep learning
and the boundary element method (BEM). In the training phase, BEM is implemented to …

In this paper, we use the magnetic field and displacement distributions to detect crack in bulk
superconductors. The (Re) BCO bulk superconductors are ceramic oxides which have low …

静响应(位移, 应变等) 在实际问题的反演分析中很难由安装在结构上的一组传感器记录得到,
而结构的动力特性(频率, 振型) 和动力响应(加速度, 速度, 动位移) 在实际问题中较易通过传感器 …

A novel methodology for multiple flaw detection is presented in this study. It combines the
dynamic extended finite element method (XFEM) with machine learning for the first time. The …