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Fatigue Analysis of Light Truck Frame Based on Virtual Proving Ground Technology

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Proceedings of China SAE Congress 2023: Selected Papers (SAE-China 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1151))

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Abstract

The fatigue durability problem of the chassis has become a focal point in recent years for the research and development of commercial vehicles. However, traditional load measurement methods cannot directly measure the boundary loads of the chassis. To address this issue, this study focuses on a certain light-duty truck and utilizes the CRG road model as an excitation source to construct a full-vehicle multibody dynamics model with the FTire tire model. This leads to the establishment of a Virtual Proving Ground (VPG) system to extract fatigue loads on the vehicle components. Experimental load spectrum data is obtained through road spectrum acquisition tests conducted at an automotive test facility. By comparing the test data with simulation data, the results show good agreement in the time domain and relative damage characteristics, confirming the accuracy of the virtual proving ground simulation results. Finally, fatigue analysis methods are applied to the chassis model based on the virtual proving ground simulation data, identifying high-risk areas and performing optimization to ultimately eliminate the high-risk regions of chassis fatigue.The virtual proving ground technology not only enables early acquisition of fatigue loads on vehicle components for fatigue analysis and optimization but also provides high-precision load spectra extraction.

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Correspondence to Qiangqiang Dong .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Dong, Q., Han, J., Liu, Z., Wu, Y., Cao, J. (2024). Fatigue Analysis of Light Truck Frame Based on Virtual Proving Ground Technology. In: Proceedings of China SAE Congress 2023: Selected Papers. SAE-China 2023. Lecture Notes in Electrical Engineering, vol 1151. Springer, Singapore. https://doi.org/10.1007/978-981-97-0252-7_50

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  • DOI: https://doi.org/10.1007/978-981-97-0252-7_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0251-0

  • Online ISBN: 978-981-97-0252-7

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