Recent developments in Artificial Neural Networks (ANNs) have opened up new possibilities
in the domain of inverse problems. For inverse problems like structural identification of large …

It is important but still challenging to detect structural damage with limited input and output
measurement signals. In this paper, an algorithm is proposed for detecting structural …

A modified real‐coded genetic algorithm to identify the parameters of large structural
systems subject to the dynamic loads is presented in this article. The proposed algorithm …

The quantification of uncertainties in civil structures poses a significant challenge due to the
need to update a large number of unknown parameters, which can significantly increase the …

Genetic algorithms (GA) have proved to be a robust, efficient search technique for many
problems. As the number of variables involved increases, classical GA will often have …

This article presents experimental verification on damage identification of a substructure
using a wavelet-domain response reconstruction technique. The response reconstruction is …

Fragility functions are commonly used in performance‐based earthquake engineering for
predicting the damage state of a structure subjected to an earthquake. This process often …

This paper presents a substructural damage identification approach under moving vehicular
loads based on a dynamic response reconstruction technique. The relationship between two …

We propose a substructure approach that allows for the local damage detection of a shear
structure. This method requires only three sensors to identify localized damage in any story …

A discrete force identification method based on average acceleration discrete algorithm is
proposed in this paper. The method is formulated in state space and the external excitation …