Besides the common modes of failure including compressive, tensile, and bending in
concrete structures, cracking and failure due to the shear is also considered as a significant …

The present paper focuses on the acquisition of the seismic responses of the masonry
structures for evaluating the variations of the predominant frequency, dam** ratio, and …

The most commonly used method for sampling damage parameters from the posterior
distribution is the Markov chain Monte Carlo (MCMC) method. The population MCMC …

In the application of data driven structural damage identification (SDI) based on supervised
deep learning technology, valid data demarcation is the foundation; a convolutional neural …

The accuracy of vibration-based structural damage identification is affected by uncertainties
in vibration measurements and finite element modeling. Moreover, a sufficient number of …

From the past up to now, selecting a reliable structural system as well as analyzing and
designing it accurately have considerably attracted the attention of researchers and …

As a critical characteristic curve of bridge structures, the influence line (IL) is effective in
evaluating the bridge damage and bearing capacity. Contrary to conventional methods …

Numerous uncertainty sources can influence the intrinsic characteristics of the structures.
Among these, the seismic noises and ambient vibrations are seamlessly subsisted in reality …

The l 2 regularization is usually used to deal with the problems of under-determinacy and
measurement noise for the conventional sensitivity-based model updating damage …

In this study, a bridge damage identification method based on the Long Short-Term Memory
(LSTM) network and the contact point response is proposed, which utilizes the time behavior …