Journal ArticleDOI
Performance Studies of 10 Metaheuristic Techniques in Determination of Damages for Large-Scale Spatial Trusses from Changes in Vibration Responses
TLDR
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.Abstract:
The determination of the location and severity of damage is a crucial task in the damage assessment of structures. In this study, 10 population-based metaheuristic techniques are applied to...read more
Citations
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Structural health monitoring of civil engineering structures by using the internet of things: A review
TL;DR: In this paper , the authors summarized the applications of the wireless IoT technology in the monitoring of civil engineering infrastructure and discussed several case studies on real structures and laboratory investigations for monitoring the structural health of real-world constructions.
Journal ArticleDOI
Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies
TL;DR: In this paper, a systematic review of the various machine learning techniques applied to assess the health condition of heritage buildings is presented, which can be used for several predictive applications such as predicting the compressive strength of masonry or repair mortars, possible damage scenarios in heritage buildings, seismic vulnerability assessment, determination of the mechanical properties of materials, and superficial damages on the surface of the monument due to weathering effects, material loss, efflorescence, seepage, algae growth, and moss deposition.
Journal ArticleDOI
A fast-convergent approach for damage assessment using CMA-ES optimization algorithm and modal parameters
TL;DR: The results of the paper demonstrated that the CMA-ES method is able to identify damages with satisfactory precision and is faster, more accurate, and more reliable than other algorithms.
Journal ArticleDOI
Vibration-Based Delamination Detection in Composite Structures Employing Mixed Unified Particle Swarm Optimization
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.
Journal ArticleDOI
Social group optimization algorithm for civil engineering structural health monitoring
TL;DR: Social group optimization (SGO) is a human-based metaheuristic optimization technique which shows accurate results for different benchmark functions but has not been studied for civil engineering.
References
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Journal ArticleDOI
Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
Journal ArticleDOI
Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems
TL;DR: The effectiveness of the TLBO method is compared with the other population-based optimization algorithms based on the best solution, average solution, convergence rate and computational effort and results show that TLBO is more effective and efficient than the other optimization methods.
Journal ArticleDOI
Salp Swarm Algorithm
Seyedali Mirjalili,Amir H. Gandomi,Seyedeh Zahra Mirjalili,Shahrzad Saremi,Hossam Faris,Seyed Mohammad Mirjalili +5 more
TL;DR: The qualitative and quantitative results prove the efficiency of SSA and MSSA and demonstrate the merits of the algorithms proposed in solving real-world problems with difficult and unknown search spaces.
Journal ArticleDOI
Grasshopper Optimisation Algorithm
TL;DR: The proposed grasshopper optimisation algorithm is able to provide superior results compared to well-known and recent algorithms in the literature and the results of the real applications prove the merits of GOA in solving real problems with unknown search spaces.
Journal ArticleDOI
Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
TL;DR: This paper proposes a novel nature-inspired algorithm called Multi-Verse Optimizer, based on three concepts in cosmology: white hole, black hole, and wormhole, which outperforms the best algorithms in the literature on the majority of the test beds.