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Study on Calculation of Customer Vehicle Fatigue Damage Based on Road Condition Identification and Element Spectrum
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Liang Su, Daojun Wu, Quanquan Chen
Automotive Engineering | 2024, 46(8) : 1520 - 1528
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收藏切换
Automotive Engineering | 2024, 46(8): 1520-1528
Study on Calculation of Customer Vehicle Fatigue Damage Based on Road Condition Identification and Element Spectrum
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Liang Su, Daojun Wu, Quanquan Chen
Affiliations
  • Xiamen King Long United Automotive Industry Co. ,Ltd. ,Key Laboratory of Bus Safety and Power-saving Technology Enterprises of Fujian Province,Xiamen  361023
Published: 2024-08-25 doi: 10.19562/j.chinasae.qcgc.2024.08.018
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In order to identify and obtain the automotive structure fatigue damage of user route, the concepts of ‘element spectrum’ and ‘survey vehicle’ are proposed, and a convenient method for obtaining fatigue damage of automotive structure of user route based on road condition identification, classification and element spectrum is proposed. Firstly, the mathematical model of IRI (International Roughness Index) is established to identify the road grade and the method of identifying the user's road surface grade through the simple sensor scheme is established. And the correlation and independence between vehicle speed and IRI are studied. Subsequently, the method for determining the road classification and mileage distribution of the survey vehicle for user route based on IRI and vehicle speed is proposed. Then, combined with the element spectrum and unit mileage damage collected locally by the full-channel vehicle, the fatigue damage of the vehicle structure on the user's route is finally calculated efficiently. Thereby, the solution of ‘element spectrum + survey vehicle’ to identify the total damage of user route is created. The verification results are good, indicating that the technology and method studied is operable, exact and effective.

damage  /  user  /  road surface  /  IRI  /  element spectrum  /  survey vehicle
Liang Su, Daojun Wu, Quanquan Chen. Study on Calculation of Customer Vehicle Fatigue Damage Based on Road Condition Identification and Element Spectrum[J]. Automotive Engineering, 2024 , 46 (8) : 1520 -1528 . DOI: 10.19562/j.chinasae.qcgc.2024.08.018
Year 2024 volume 46 Issue 8
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.08.018
  • Receive Date:2024-02-26
  • Online Date:2025-07-29
  • Published:2024-08-25
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  • Received:2024-02-26
  • Revised:2024-04-10
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    Xiamen King Long United Automotive Industry Co. ,Ltd. ,Key Laboratory of Bus Safety and Power-saving Technology Enterprises of Fujian Province,Xiamen  361023
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https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2024.08.018
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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