RESEARCH & APPLICATION OF SERVICE-LOADS ENVIRONMENT FOR COMMERCIAL VEHICLE BASED ON NON-PARAMETRIC KERNEL DENSITY ESTIMATION METHOD
Research and establishment of customer service road-load characteristics are foundation and precondition for reasonable lightweight design of automotive structure strength. Traditionally method mostly based on parametric probability density estimation method to analyze statistical characteristics of...
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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2020-01-01
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Series: | Jixie qiangdu |
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Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.02.028 |
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author | LUAN ShiJie YU JiaWei ZHENG SongLin JING Qing |
author_facet | LUAN ShiJie YU JiaWei ZHENG SongLin JING Qing |
author_sort | LUAN ShiJie |
collection | DOAJ |
description | Research and establishment of customer service road-load characteristics are foundation and precondition for reasonable lightweight design of automotive structure strength. Traditionally method mostly based on parametric probability density estimation method to analyze statistical characteristics of customer service road-load. Based on large-scale data research of customer service road-load characteristics of a commercial vehicle,parametric and non-parametric method were respectively applied to study the probability density distribution model of typical customer service road-load characteristics. The results showed that the non-parametric method describe the customer service road-load characteristics more accurately than the parametric method. Therefore,the non-parametric method was applied to calculate the 90 th percentile of customer service characteristics. By applying non-parametric rain-flow matrix extrapolation method,the whole service life loads of shock absorber spring were estimated based on collected road loads data,and fatigue-testing specification was established. The results can provide reference for establishing the automotive structure fatigue testing specifications reasonably under the concept of user-association. |
first_indexed | 2024-03-12T20:42:59Z |
format | Article |
id | doaj.art-4ec9bbfde778460aa59c74b21ad29b68 |
institution | Directory Open Access Journal |
issn | 1001-9669 |
language | zho |
last_indexed | 2024-03-12T20:42:59Z |
publishDate | 2020-01-01 |
publisher | Editorial Office of Journal of Mechanical Strength |
record_format | Article |
series | Jixie qiangdu |
spelling | doaj.art-4ec9bbfde778460aa59c74b21ad29b682023-08-01T07:51:12ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692020-01-014244345230607662RESEARCH & APPLICATION OF SERVICE-LOADS ENVIRONMENT FOR COMMERCIAL VEHICLE BASED ON NON-PARAMETRIC KERNEL DENSITY ESTIMATION METHODLUAN ShiJieYU JiaWeiZHENG SongLinJING QingResearch and establishment of customer service road-load characteristics are foundation and precondition for reasonable lightweight design of automotive structure strength. Traditionally method mostly based on parametric probability density estimation method to analyze statistical characteristics of customer service road-load. Based on large-scale data research of customer service road-load characteristics of a commercial vehicle,parametric and non-parametric method were respectively applied to study the probability density distribution model of typical customer service road-load characteristics. The results showed that the non-parametric method describe the customer service road-load characteristics more accurately than the parametric method. Therefore,the non-parametric method was applied to calculate the 90 th percentile of customer service characteristics. By applying non-parametric rain-flow matrix extrapolation method,the whole service life loads of shock absorber spring were estimated based on collected road loads data,and fatigue-testing specification was established. The results can provide reference for establishing the automotive structure fatigue testing specifications reasonably under the concept of user-association.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.02.028Customer service road-load characteristics;Kernel density estimation;Rain-flow matrix extrapolation |
spellingShingle | LUAN ShiJie YU JiaWei ZHENG SongLin JING Qing RESEARCH & APPLICATION OF SERVICE-LOADS ENVIRONMENT FOR COMMERCIAL VEHICLE BASED ON NON-PARAMETRIC KERNEL DENSITY ESTIMATION METHOD Jixie qiangdu Customer service road-load characteristics;Kernel density estimation;Rain-flow matrix extrapolation |
title | RESEARCH & APPLICATION OF SERVICE-LOADS ENVIRONMENT FOR COMMERCIAL VEHICLE BASED ON NON-PARAMETRIC KERNEL DENSITY ESTIMATION METHOD |
title_full | RESEARCH & APPLICATION OF SERVICE-LOADS ENVIRONMENT FOR COMMERCIAL VEHICLE BASED ON NON-PARAMETRIC KERNEL DENSITY ESTIMATION METHOD |
title_fullStr | RESEARCH & APPLICATION OF SERVICE-LOADS ENVIRONMENT FOR COMMERCIAL VEHICLE BASED ON NON-PARAMETRIC KERNEL DENSITY ESTIMATION METHOD |
title_full_unstemmed | RESEARCH & APPLICATION OF SERVICE-LOADS ENVIRONMENT FOR COMMERCIAL VEHICLE BASED ON NON-PARAMETRIC KERNEL DENSITY ESTIMATION METHOD |
title_short | RESEARCH & APPLICATION OF SERVICE-LOADS ENVIRONMENT FOR COMMERCIAL VEHICLE BASED ON NON-PARAMETRIC KERNEL DENSITY ESTIMATION METHOD |
title_sort | research application of service loads environment for commercial vehicle based on non parametric kernel density estimation method |
topic | Customer service road-load characteristics;Kernel density estimation;Rain-flow matrix extrapolation |
url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.02.028 |
work_keys_str_mv | AT luanshijie researchapplicationofserviceloadsenvironmentforcommercialvehiclebasedonnonparametrickerneldensityestimationmethod AT yujiawei researchapplicationofserviceloadsenvironmentforcommercialvehiclebasedonnonparametrickerneldensityestimationmethod AT zhengsonglin researchapplicationofserviceloadsenvironmentforcommercialvehiclebasedonnonparametrickerneldensityestimationmethod AT jingqing researchapplicationofserviceloadsenvironmentforcommercialvehiclebasedonnonparametrickerneldensityestimationmethod |