DETERMINISTIC MULTI-OBJECTIVE LIGHTWEIGHT DESIGN OF C-BEAM BASED ON RESPONSE SURFACE AND GENETIC ALGORITHM
The lightweight design of C-beam structure which is a key structure component of bus air suspension will be mainly discussed in this paper. Firstly,based on parameterized calculating system,the finite element model that is in line with the actual working condition was established. Meanwhile,the maxi...
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Editorial Office of Journal of Mechanical Strength
2021-01-01
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| Series: | Jixie qiangdu |
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| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.03.019 |
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| author | CHEN HaoRan XIANG ZhongKe CHENG WenMing XIANG FeiFei |
| author_facet | CHEN HaoRan XIANG ZhongKe CHENG WenMing XIANG FeiFei |
| author_sort | CHEN HaoRan |
| collection | DOAJ |
| description | The lightweight design of C-beam structure which is a key structure component of bus air suspension will be mainly discussed in this paper. Firstly,based on parameterized calculating system,the finite element model that is in line with the actual working condition was established. Meanwhile,the maximum equivalent stress,bending stiffness and fatigue life analysis were completed. Then the central composite design experimental method was used,and the response surface model（ RSM） was fitted based on full 2 nd order polynomials,and design variables were screened according to sensitivity analysis.Finally,take the minimum mass as well as maximum bending stiffness as the objective function. At the same time,the maximum equivalent stress and the fatigue life of 500,000 cycles are taken as the constraint conditions. The optimization was conducted by NSGA-II multi-objective genetic algorithm,and in series Pareto non-inferior front curve was obtained,and the compromising solution was selected according to the actual design needs. The results indicate that the bending stiffness of the lightweight cbeam basically stay the same as before without changing the original material and meeting the constraint conditions,and the weight loss is 2. 68 kg and the weight loss ratio is 3. 6%. |
| format | Article |
| id | doaj-art-f426009e8c734092a85ef0ddeff1b50f |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2021-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-f426009e8c734092a85ef0ddeff1b50f2025-01-15T02:25:59ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692021-01-014363664230610846DETERMINISTIC MULTI-OBJECTIVE LIGHTWEIGHT DESIGN OF C-BEAM BASED ON RESPONSE SURFACE AND GENETIC ALGORITHMCHEN HaoRanXIANG ZhongKeCHENG WenMingXIANG FeiFeiThe lightweight design of C-beam structure which is a key structure component of bus air suspension will be mainly discussed in this paper. Firstly,based on parameterized calculating system,the finite element model that is in line with the actual working condition was established. Meanwhile,the maximum equivalent stress,bending stiffness and fatigue life analysis were completed. Then the central composite design experimental method was used,and the response surface model（ RSM） was fitted based on full 2 nd order polynomials,and design variables were screened according to sensitivity analysis.Finally,take the minimum mass as well as maximum bending stiffness as the objective function. At the same time,the maximum equivalent stress and the fatigue life of 500,000 cycles are taken as the constraint conditions. The optimization was conducted by NSGA-II multi-objective genetic algorithm,and in series Pareto non-inferior front curve was obtained,and the compromising solution was selected according to the actual design needs. The results indicate that the bending stiffness of the lightweight cbeam basically stay the same as before without changing the original material and meeting the constraint conditions,and the weight loss is 2. 68 kg and the weight loss ratio is 3. 6%.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.03.019C-beamParameterizationRSMSensitivity analysisMulti-objective optimizationGenetic algorithm |
| spellingShingle | CHEN HaoRan XIANG ZhongKe CHENG WenMing XIANG FeiFei DETERMINISTIC MULTI-OBJECTIVE LIGHTWEIGHT DESIGN OF C-BEAM BASED ON RESPONSE SURFACE AND GENETIC ALGORITHM Jixie qiangdu C-beam Parameterization RSM Sensitivity analysis Multi-objective optimization Genetic algorithm |
| title | DETERMINISTIC MULTI-OBJECTIVE LIGHTWEIGHT DESIGN OF C-BEAM BASED ON RESPONSE SURFACE AND GENETIC ALGORITHM |
| title_full | DETERMINISTIC MULTI-OBJECTIVE LIGHTWEIGHT DESIGN OF C-BEAM BASED ON RESPONSE SURFACE AND GENETIC ALGORITHM |
| title_fullStr | DETERMINISTIC MULTI-OBJECTIVE LIGHTWEIGHT DESIGN OF C-BEAM BASED ON RESPONSE SURFACE AND GENETIC ALGORITHM |
| title_full_unstemmed | DETERMINISTIC MULTI-OBJECTIVE LIGHTWEIGHT DESIGN OF C-BEAM BASED ON RESPONSE SURFACE AND GENETIC ALGORITHM |
| title_short | DETERMINISTIC MULTI-OBJECTIVE LIGHTWEIGHT DESIGN OF C-BEAM BASED ON RESPONSE SURFACE AND GENETIC ALGORITHM |
| title_sort | deterministic multi objective lightweight design of c beam based on response surface and genetic algorithm |
| topic | C-beam Parameterization RSM Sensitivity analysis Multi-objective optimization Genetic algorithm |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.03.019 |
| work_keys_str_mv | AT chenhaoran deterministicmultiobjectivelightweightdesignofcbeambasedonresponsesurfaceandgeneticalgorithm AT xiangzhongke deterministicmultiobjectivelightweightdesignofcbeambasedonresponsesurfaceandgeneticalgorithm AT chengwenming deterministicmultiobjectivelightweightdesignofcbeambasedonresponsesurfaceandgeneticalgorithm AT xiangfeifei deterministicmultiobjectivelightweightdesignofcbeambasedonresponsesurfaceandgeneticalgorithm |