Swarup K. Barman

TL;DR: The recently proposed ant lion optimiser, which is a population-based search algorithm, mimicked the hunting behaviour of antlions, was used for assessing structural damage and indicated that the proposed algorithm required fewer parameters than other metaheuristic algorithms to identify the location and extent of damage.

TL;DR: In this study, 10 population-based metaheuristic techniques are applied to the determination of the location and severity of damage in the damage assessment of structures.

TL;DR: In this paper, a mixed unified particle swarm optimization (MUPSO) algorithm was introduced to detect and quantify the delamination damages in composite beams and plates using vibration responses, and the results showed that the algorithm is more accurate than the traditional MUP algorithm.

TL;DR: In this paper, a new model for analyzing delaminated plates was developed using three-dimensional (3D) degenerated elements, which were developed using the degenerated solid approach.

TL;DR: The proposed approach reduces the number of suspected damaged elements in the structure significantly, thus reducing the computational time of optimization algorithm and thus can be applied for damage detection involving field evaluation of various structures.