Structural damage identification based on finite element (FE) model updating has been a
research direction of increasing interest over the last decade in the mechanical, civil …

基于有限元模型修正的结构损伤识别方法计算过程直观, 物理意义明确, 能同步识别结构损伤
位置和损伤程度, 是结构损伤评估最直接的依据. 该文介绍了基于有限元模型修正的损伤识别 …

Abstract Markov chain Monte Carlo (MCMC) simulation is applied for model updating of the
coupled-slab system of a building structure based on field test data following the Bayesian …

This study presents a structural health monitoring system that is able to detect structural
defects of wind turbine blade such as cracks, leading/trailing-edge opening, or delamination …

Applying signal processing tools on quasi-static moving load induced response to localize
damage is extremely promising in the field of structural health monitoring. However, it is still …

The purpose of this study is to utilize machine learning techniques to detect any damages
that occurred in power transmission towers. In the first step, various machine learning …

This paper proposes a Bayesian method for structural model updating and damage
detection using modal data. A recently developed Markov chain Monte Carlo algorithm is …

The finite element model updating is advantageous in damage identification because it is
physically meaningful and simultaneously identifies the damage location and extent. It …

In this study, a novel sequential broad learning (SBL) approach is proposed to reconstruct
the missing signal of damaged sensors in structural health monitoring (SHM) sensory …

In this study a probabilistic approach is proposed to identify multiple delaminations in
laminated composite beams using guided waves. The proposed method is a model-based …