Efficient Sizing and Layout Optimization of Truss Benchmark Structures Using ISRES Algorithm

dc.authoridAVCI, Muhammed Serdar/0000-0003-0884-3734
dc.authoridYAVUZ, DEMET/0000-0002-1330-1860
dc.contributor.authorAvci, Muhammed Serdar
dc.contributor.authorYavuz, Demet
dc.contributor.authorErcan, Emre
dc.contributor.authorNuhoglu, Ayhan
dc.date.accessioned2024-08-31T07:50:35Z
dc.date.available2024-08-31T07:50:35Z
dc.date.issued2024
dc.departmentEge Üniversitesien_US
dc.description.abstractThis paper presents a comprehensive investigation into the application of the Improved Stochastic Ranking Evolution Strategy (ISRES) algorithm for the sizing and layout optimization of truss benchmark structures. Truss structures play a crucial role in engineering and architecture, and optimizing their designs can lead to more efficient and cost-effective solutions. The ISRES algorithm, known for its effectiveness in multi-objective optimization, is adapted for the single-objective optimization of truss designs with multiple design constraints. This study encompasses a wide range of truss benchmark structures, including 10-bar, 15-bar, 18-bar, 25-bar, and 72-bar configurations, each subjected to distinct loading conditions and stress constraints. The objective is to minimize the truss weight while ensuring stress and displacement limits are met. Through extensive experimentation, the ISRES algorithm demonstrates its ability to efficiently explore the solution space and converge to optimal solutions for each truss benchmark structure. The algorithm effectively handles the complexity of the problems, which involve numerous design variables, stress constraints, and nodal displacement limits. A comparative analysis is conducted to assess the performance of the ISRES algorithm against other state-of-the-art optimization methods reported in the literature. The comparison evaluates the quality of the solutions and the computational efficiency of each method. Furthermore, the optimized truss designs are subjected to finite element analysis to validate their structural integrity and stability. The verification process confirms that the designs adhere to the imposed constraints, ensuring the safety and reliability of the final truss configurations. The results of this study demonstrate the efficacy of the ISRES algorithm in providing practical and reliable solutions for the sizing and layout optimization of truss benchmark structures. The algorithm's competitive performance and robustness make it a valuable tool for structural engineers and designers, offering a versatile and powerful approach for complex engineering optimization tasks. Overall, the findings contribute to the advancement of optimization techniques in structural engineering, promoting the development of more efficient and cost-effective truss designs for a wide range of engineering and architectural applications. The study's insights empower practitioners to make informed decisions in selecting appropriate optimization strategies for complex truss-design scenarios, fostering advancements in structural engineering and sustainable design practices.en_US
dc.identifier.doi10.3390/app14083324
dc.identifier.issn2076-3417
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85192546409en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3390/app14083324
dc.identifier.urihttps://hdl.handle.net/11454/105293
dc.identifier.volume14en_US
dc.identifier.wosWOS:001210204900001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofApplied Sciences-Baselen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240831_Uen_US
dc.subjectTruss Optimizationen_US
dc.subjectIsresen_US
dc.subjectSizing Optimizationen_US
dc.subjectLayout Optimizationen_US
dc.subjectStructural Engineeringen_US
dc.titleEfficient Sizing and Layout Optimization of Truss Benchmark Structures Using ISRES Algorithmen_US
dc.typeArticleen_US

Dosyalar