Impedance-based structural health monitoring (SHM) has come to the forefront in the SHM
community because of its practical potential for real applications. In the impedance-based …

This study presents and reviews the technical literature and previous studies for the past
three decades on structural damage identification using ANNs and measured FRFs as …

Deciding on an optimal sensor placement (OSP) is a common problem encountered in many
engineering applications and is also a critical issue in the construction and implementation …

The study presented in this paper is arguably the first study to use a self-organizing map
(SOM) for global structural damage detection. A novel unsupervised vibration-based …

Artificial intelligence (AI) has been used widely in all sectors of education, science,
engineering, and industries. AI is an alternative approach to the classical Modeling …

In this work, various functions developed with Machine Learning techniques are proposed
for the rapid and accurate design of R/C columns and bridge piers. Both rectangular and …

A support vector machine (SVM) optimized by genetic algorithm (GA)-based damage
identification method is proposed in this paper. The best kernel parameters are obtained by …

Building facade has a significant impact on the environmental and economic performance of
buildings and projects. The specification of their elements at the early design phase …

Fusion of data mining and computational mechanics is a modern approach for the
exploitation of available data within rigorous modeling. First steps in this direction have been …

The glass panel dropping off of hidden frame supported glass curtain wall (HFSGCW)
caused by structural sealant failure has become a severe safety problem up to now. In order …