M Mishra - Journal of Cultural Heritage, 2021 - Elsevier
This paper performed a systematic review of the various machine learning (ML) techniques applied to assess the health condition of heritage buildings. More robust predictive models …
F Al Thobiani, S Khatir, B Benaissa… - Theoretical and applied …, 2022 - Elsevier
This paper introduces an inverse problem for crack identification in two-dimensional structures using eXtend Finite Element Method (XFEM) associated with original Grey Wolf …
In recent years, many innovative optimization algorithms have been developed. These algorithms have been employed to solve structural damage detection problems as an …
The structural health monitoring (SHM) approach plays a key role not only in structural engineering but also in other various engineering disciplines by evaluating the safety and …
Identifying structural damage is an essential task for ensuring the safety and functionality of civil, mechanical, and aerospace structures. In this study, the structural damage identification …
The present paper deals with structural health monitoring of trusses, space frame and plate structure utilizing the Bayesian data fusion approach. The application of the proposed …
The application of multi-objective optimization algorithms in the field of structural damage identification has gained increasing attention in the past few years. Nevertheless, their …
Metaheuristic algorithms have known vast development in recent years. And their applicability in engineering projects is constantly growing; however, their deferent …
C Shen, R Dollevoet, Z Li - Mechanical Systems and Signal Processing, 2021 - Elsevier
We propose to combine a physics-based finite element (FE) track model and a data-driven Gaussian process regression (GPR) model to directly infer railpad and ballast stiffness from …