OPTIMIZATION ANALYSIS OF LARGE DISPLACEMENT MOTORCYCLE SUSPENSION SYSTEM RIDING COMFORT BASED ON APPROXIMATE MODEL
Aiming at the driving comfort problem of a sporty large-displacement motorcycle, an optimization scheme was proposed. Through the simulation analysis of the motorcycle on the C-level road, the pitch vibration and vertical vibration acceleration, which characterize the riding comfort of the motorcycl...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2022-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.016 |
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| _version_ | 1841535982906638336 |
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| author | RAN XianSheng CHEN Kai ZHAO HongLiang LUO Ling |
| author_facet | RAN XianSheng CHEN Kai ZHAO HongLiang LUO Ling |
| author_sort | RAN XianSheng |
| collection | DOAJ |
| description | Aiming at the driving comfort problem of a sporty large-displacement motorcycle, an optimization scheme was proposed. Through the simulation analysis of the motorcycle on the C-level road, the pitch vibration and vertical vibration acceleration, which characterize the riding comfort of the motorcycle, were obtained, and the above two index peaks were used as the target response. Sensitivity analysis and approximate modeling of related parameters were carried out, and the radial basis function neural network approximate model was used for multi-objective optimization, based on the error analysis of the approximate model. The results show that after optimization, the actual vehicle verified that the pitch vibration acceleration peak was reduced by 17.21%, and the front and rear wheel vertical vibration acceleration peaks were reduced by 8.11% and 24.18%, respectively, which improved the ride comfort of the motorcycle and verified the effectiveness of the optimization scheme. |
| format | Article |
| id | doaj-art-e2da97188ce24d4a811897d66810a11b |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2022-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-e2da97188ce24d4a811897d66810a11b2025-01-15T02:24:45ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692022-01-014411912529910163OPTIMIZATION ANALYSIS OF LARGE DISPLACEMENT MOTORCYCLE SUSPENSION SYSTEM RIDING COMFORT BASED ON APPROXIMATE MODELRAN XianShengCHEN KaiZHAO HongLiangLUO LingAiming at the driving comfort problem of a sporty large-displacement motorcycle, an optimization scheme was proposed. Through the simulation analysis of the motorcycle on the C-level road, the pitch vibration and vertical vibration acceleration, which characterize the riding comfort of the motorcycle, were obtained, and the above two index peaks were used as the target response. Sensitivity analysis and approximate modeling of related parameters were carried out, and the radial basis function neural network approximate model was used for multi-objective optimization, based on the error analysis of the approximate model. The results show that after optimization, the actual vehicle verified that the pitch vibration acceleration peak was reduced by 17.21%, and the front and rear wheel vertical vibration acceleration peaks were reduced by 8.11% and 24.18%, respectively, which improved the ride comfort of the motorcycle and verified the effectiveness of the optimization scheme.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.016Class C road surfaceSuspension systemSensitivity analysisApproximation model to basis function neural networkMulti-objective optimization |
| spellingShingle | RAN XianSheng CHEN Kai ZHAO HongLiang LUO Ling OPTIMIZATION ANALYSIS OF LARGE DISPLACEMENT MOTORCYCLE SUSPENSION SYSTEM RIDING COMFORT BASED ON APPROXIMATE MODEL Jixie qiangdu Class C road surface Suspension system Sensitivity analysis Approximation model to basis function neural network Multi-objective optimization |
| title | OPTIMIZATION ANALYSIS OF LARGE DISPLACEMENT MOTORCYCLE SUSPENSION SYSTEM RIDING COMFORT BASED ON APPROXIMATE MODEL |
| title_full | OPTIMIZATION ANALYSIS OF LARGE DISPLACEMENT MOTORCYCLE SUSPENSION SYSTEM RIDING COMFORT BASED ON APPROXIMATE MODEL |
| title_fullStr | OPTIMIZATION ANALYSIS OF LARGE DISPLACEMENT MOTORCYCLE SUSPENSION SYSTEM RIDING COMFORT BASED ON APPROXIMATE MODEL |
| title_full_unstemmed | OPTIMIZATION ANALYSIS OF LARGE DISPLACEMENT MOTORCYCLE SUSPENSION SYSTEM RIDING COMFORT BASED ON APPROXIMATE MODEL |
| title_short | OPTIMIZATION ANALYSIS OF LARGE DISPLACEMENT MOTORCYCLE SUSPENSION SYSTEM RIDING COMFORT BASED ON APPROXIMATE MODEL |
| title_sort | optimization analysis of large displacement motorcycle suspension system riding comfort based on approximate model |
| topic | Class C road surface Suspension system Sensitivity analysis Approximation model to basis function neural network Multi-objective optimization |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.01.016 |
| work_keys_str_mv | AT ranxiansheng optimizationanalysisoflargedisplacementmotorcyclesuspensionsystemridingcomfortbasedonapproximatemodel AT chenkai optimizationanalysisoflargedisplacementmotorcyclesuspensionsystemridingcomfortbasedonapproximatemodel AT zhaohongliang optimizationanalysisoflargedisplacementmotorcyclesuspensionsystemridingcomfortbasedonapproximatemodel AT luoling optimizationanalysisoflargedisplacementmotorcyclesuspensionsystemridingcomfortbasedonapproximatemodel |