A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure
This study focuses on investigating how grid-stiffened composite shells behave under external hydrostatic pressure. The critical buckling load is calculated using the first-order shear deformation theory (FSDT) and the Ritz method. Various factors, including shell thickness, angle of helical stiffen...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Semnan University
2024-04-01
|
| Series: | Mechanics of Advanced Composite Structures |
| Subjects: | |
| Online Access: | https://macs.semnan.ac.ir/article_8131_52e48be1d6004fbead21e2bb69d1fee9.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850255228528492544 |
|---|---|
| author | Mahsa Soheil Shamaee |
| author_facet | Mahsa Soheil Shamaee |
| author_sort | Mahsa Soheil Shamaee |
| collection | DOAJ |
| description | This study focuses on investigating how grid-stiffened composite shells behave under external hydrostatic pressure. The critical buckling load is calculated using the first-order shear deformation theory (FSDT) and the Ritz method. Various factors, including shell thickness, angle of helical stiffeners, rib section area, and the number of stiffeners, are examined to understand their impact on the buckling load. To optimize the design, three multi-objective optimization algorithms are employed: Nondominated Sorting Genetic Algorithm II (NSGAII), Multiobjective Particle Swarm Optimization (MOPSO), and a hybrid method that combines NSGAII and MOPSO. The hybrid method intelligently divides the population into two groups and uses NSGAII and MOPSO to efficiently explore and exploit the solution space. The results yield a Pareto optimal front that showcases diverse solutions across different regions, providing decision-makers with the flexibility to select the solution that best fits their preferences. The solutions obtained through these algorithms are compared based on their diversity and distribution throughout the Pareto front. |
| format | Article |
| id | doaj-art-bbd78ab22e0c4a85b290ff52c43a9a56 |
| institution | OA Journals |
| issn | 2423-4826 2423-7043 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Semnan University |
| record_format | Article |
| series | Mechanics of Advanced Composite Structures |
| spelling | doaj-art-bbd78ab22e0c4a85b290ff52c43a9a562025-08-20T01:56:56ZengSemnan UniversityMechanics of Advanced Composite Structures2423-48262423-70432024-04-0111117719010.22075/macs.2023.31305.15408131A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic PressureMahsa Soheil Shamaee0Department of Computer Science, Faculty of Mathematical Sciences, University of Kashan, Kashan, 87317-53153, I. R. IranThis study focuses on investigating how grid-stiffened composite shells behave under external hydrostatic pressure. The critical buckling load is calculated using the first-order shear deformation theory (FSDT) and the Ritz method. Various factors, including shell thickness, angle of helical stiffeners, rib section area, and the number of stiffeners, are examined to understand their impact on the buckling load. To optimize the design, three multi-objective optimization algorithms are employed: Nondominated Sorting Genetic Algorithm II (NSGAII), Multiobjective Particle Swarm Optimization (MOPSO), and a hybrid method that combines NSGAII and MOPSO. The hybrid method intelligently divides the population into two groups and uses NSGAII and MOPSO to efficiently explore and exploit the solution space. The results yield a Pareto optimal front that showcases diverse solutions across different regions, providing decision-makers with the flexibility to select the solution that best fits their preferences. The solutions obtained through these algorithms are compared based on their diversity and distribution throughout the Pareto front.https://macs.semnan.ac.ir/article_8131_52e48be1d6004fbead21e2bb69d1fee9.pdfgrid stiffenersbuckling loadcomposite shellmulti-objective optimizationnsgaiimopso |
| spellingShingle | Mahsa Soheil Shamaee A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure Mechanics of Advanced Composite Structures grid stiffeners buckling load composite shell multi-objective optimization nsgaii mopso |
| title | A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure |
| title_full | A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure |
| title_fullStr | A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure |
| title_full_unstemmed | A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure |
| title_short | A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure |
| title_sort | comprehensive comparison between multi objective optimization methods for composite hexagonal triangle grid structure using fsdt under external hydrostatic pressure |
| topic | grid stiffeners buckling load composite shell multi-objective optimization nsgaii mopso |
| url | https://macs.semnan.ac.ir/article_8131_52e48be1d6004fbead21e2bb69d1fee9.pdf |
| work_keys_str_mv | AT mahsasoheilshamaee acomprehensivecomparisonbetweenmultiobjectiveoptimizationmethodsforcompositehexagonaltrianglegridstructureusingfsdtunderexternalhydrostaticpressure AT mahsasoheilshamaee comprehensivecomparisonbetweenmultiobjectiveoptimizationmethodsforcompositehexagonaltrianglegridstructureusingfsdtunderexternalhydrostaticpressure |