Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …

This study presents a comprehensive review of the history of research and development of
different damage-detection methods in the realm of composite structures. Different fields of …

A new probabilistic finite element (FE) model updating technique based on Hierarchical
Bayesian modeling is proposed for identification of civil structural systems under changing …

This paper presents two adaptive Kalman filters (KFs) for nonlinear model updating where,
in addition to nonlinear model parameters, the covariance matrix of measurement noise is …

Ubiquitous smartphones have created a significant opportunity to form a low-cost wireless
Citizen Sensor network and produce big data for monitoring structural integrity and safety …

Deterministic and Bayesian finite element (FE) model updating techniques are
computationally very demanding operations due to the large number of FE model re …

This paper presents a probabilistic damage identification study on a full‐scale structure, the
Dowling Hall footbridge, through a Bayesian finite element (FE) model updating. The …

This paper presents a framework for structural health monitoring (SHM) and damage
identification of civil structures. This framework integrates advanced mechanics-based …

This paper is a companion to “Displacement-Based Method of Analysis for Regular
Reinforced-Concrete Wall Buildings: Application to a Full-Scale 7-Story Building Slice …

A promising and attractive way of performing structural health monitoring (SHM) and
damage prognosis (DP) of engineering systems is through utilizing a nonlinear finite …