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Optimization and Decomposition of Virtual Iteration Target Spectrum for Cabin of Commercial Vehicle
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Kai Wang1, 2, Zongyang Zhang1, 2, Tao Bing1, 2, Yunlong Cui2, Shitao Sun2, Anhai Li1
Automotive Engineering | 2024, 46(8) : 1501 - 1510
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Automotive Engineering | 2024, 46(8): 1501-1510
Optimization and Decomposition of Virtual Iteration Target Spectrum for Cabin of Commercial Vehicle
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Kai Wang1, 2, Zongyang Zhang1, 2, Tao Bing1, 2, Yunlong Cui2, Shitao Sun2, Anhai Li1
Affiliations
  • 1. School of Mechanical Engineering,Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE,Jinan  250061
  • 2. Institute of Automobile Research,China National Heavy Duty Truck Group Co. ,Ltd. ,Jinan  250100
Published: 2024-08-25 doi: 10.19562/j.chinasae.qcgc.2024.08.016
Outline
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The load spectrum of commercial vehicle cab assembly is the key factor affecting the accuracy and computational efficiency of virtual fatigue prediction. In this article, key links such as road load spectrum collection and editing, high fidelity dynamic modeling, and virtual iteration are explored, in order to obtain accurate and efficient external point time-domain loads from the engineering application perspective. Firstly, the full path road load spectrum of the driver's cab assembly is collected from the actual vehicle in the test field, and the original data is normalized, split, and reassembled considering random errors to obtain a statistically strong total damage target in the test field. Then, using the principle of equal damage, 9 operating conditions and their number of cycles are optimized, which not only controls the error within 10%, but also increases the efficiency by 75%. Subsequently, based on the performance parameters of the measured damping components, a high fidelity rigid flexible coupling dynamic model of the cab is established, and the accuracy of the model is verified through a 7-channel road simulation bench in the cab. Finally, the load decomposition of the optimal operating conditions is completed through virtual iteration, with an iteration error of less than 10%. Based on the above optimization and decomposition of the external connection point load, the virtual fatigue calculation of the cab body is efficiently completed, and the failure of the cab welding points is accurately predicted, which has a high degree of consistency with the durability test results of the road simulation bench, providing strong technical support for the design and optimization of commercial vehicle cabins.

accelerated editing of load spectrum  /  damage equivalence  /  virtual iteration  /  load extraction  /  virtual fatigue
Kai Wang, Zongyang Zhang, Tao Bing, Yunlong Cui, Shitao Sun, Anhai Li. Optimization and Decomposition of Virtual Iteration Target Spectrum for Cabin of Commercial Vehicle[J]. Automotive Engineering, 2024 , 46 (8) : 1501 -1510 . DOI: 10.19562/j.chinasae.qcgc.2024.08.016
Year 2024 volume 46 Issue 8
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.08.016
  • Receive Date:2024-03-16
  • Online Date:2025-07-29
  • Published:2024-08-25
Article Data
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History
  • Received:2024-03-16
  • Revised:2024-04-18
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Affiliations
    1. School of Mechanical Engineering,Shandong University,Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE,Jinan  250061
    2. Institute of Automobile Research,China National Heavy Duty Truck Group Co. ,Ltd. ,Jinan  250100
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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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