In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

ABSTRACT A Jaya algorithm was recently proposed for solving effectively both constrained
and unconstrained optimization problems. In this article, the Jaya algorithm is further …

Structural damage assessment is crucial for structural health monitoring to evaluate the
safety and residual service life of the structure. To solve the structural damage detection …

This study presents a robust Hybrid ReLU-Activated Backpropagation Neural Network
(BPNN) model for predicting shear strength (VFRCM) in RC beams reinforced with Fiber …

In the real world, there are many problems in which it is desirable to optimize one or more
objective functions at the same time. These are known as single and multi-objective …

The present article proposes an efficient method for damage assessment of structures with
incomplete and noisy modal data using model reduction method and Lightning Attachment …

Detection of critical failure surface and associated minimum factor of safety (F) constitutes a
constrained global optimization problem during the task of slope analysis. Morgenstern …

Beam-column joints are responsible for maintaining the integrity and stability of frame
structures, and any damage to these critical components can endanger the overall safety …

Structural damage identification is a scientific field that has attracted a lot of interest in the
scientific community during the recent years. There have been many studies intending to …

Structural health monitoring is crucial for the timely damage diagnosis of civil infrastructure.
This paper explores the damage detection method based on the ant colony algorithm (ACO) …