The field of structural health monitoring (SHM) has gained significant attention from
academia and industry, particularly in the realm of damage detection. This approach allows …

Owing to ever-increasing complexity of engineering structures, developing a methodology
for the early detection of defects has become crucial to ensure their long-term safety and …

As the global demand for renewable energy continues to rise, wind energy has received
widespread attention as an eco-friendly energy source. Wind power generation is regarded …

Structural health monitoring applications present a valuable opportunity for cities to improve
their infrastructures environmental life cycle, reduce operational maintenance cost and …

In this paper, a graph-theoretical force method is utilized for the analysis of the frame
structures to decrease the time required for optimization. The performance and speed of the …

This study presents an efficient approach for the detection of damages in laminated
composite beams with arbitrary lay-up. The approach uses the finite element model …

Rao algorithms are metaheuristic algorithms that are based on population and do not have
metaphors. These algorithms are extremely simple and do not require the use of any …

This study proposes an adaptive 3-stage hybrid teaching-based differential evolution
(ATDE) algorithm to deal with sizing and layout frequency-constrained truss designs more …

The efficiency in high-dimension optimization, premature convergence and noise
robustness are common challenges that restrict the application of swarm-based algorithms …

In the context of uncertainty in the inverse problem of damage identification, this study
proposes a moment theory based probabilistic damage identification (MbPDI) method …