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An energy-based fatigue life prediction of a mining truck welded frame

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Abstract

An energy-based fatigue damage model was used to estimate the fatigue life of a mining truck welded frame. Experimental work including monotonic and strain-controlled cyclic loading was conducted to characterize the base metal and the weld. A dynamic model was created for the whole truck in the ADAMS software to estimate the force histories applied to the frame in different maneuvers over a simulated road. A Finite element (FE) model was generated for the welded frame and the cyclic loading obtained from the dynamic model was applied to the FE model. The FE model was used to find the stress and strain responses, which were then used to calculate the strain energy and the fatigue life. The fatigue life predictions for the frame agreed well with observations of the truck’s in-service failure.

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Authors and Affiliations

  1. Hunan University of Technology, Zhuzhou, 412007, China

    Zhengqi Gu, Chengji Mi, Zhiping Ding, Yong Zhang, Shuichang Liu & Duzhong Nie

  2. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Hunan, 410082, China

    Zhengqi Gu & Yong Zhang

  3. Hunan University of Arts and Science, Changde, 415000, China

    Zhengqi Gu

Authors
  1. Zhengqi Gu
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  2. Chengji Mi
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  3. Zhiping Ding
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  4. Yong Zhang
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  5. Shuichang Liu
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  6. Duzhong Nie
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Corresponding author

Correspondence to Chengji Mi.

Additional information

Recommended by Associate Editor Jin Weon Kim

Zhengqi Gu is a Doctoral Tutor of State Key Laboratory of Advanced Design and Manufacture for Vehicle Body (Hunan University), School of Mechanical Engineering, Hunan University of Technology, engaged in the study of vehicle aerodynamics and fatigue reliability analysis.

Chengji Mi is a Lecturer at School of Mechanical Engineering, Hunan University of Technology. He has completed Ph.D. in State Key Laboratory of Advanced Design and Manufacture for Vehicle Body(Hunan University). His research interests include structural fatigue life estimation and optimization design.

Zhiping Ding is a Professor of School of Mechanical Engineering, Hunan University of Technology. He has completed Ph.D. in mechanical engineering at Central South University. His research interests include modeling and fatigue life prediction of Nickel-based super-alloy.

Yong Zhang is a doctoral candidate of State Key Laboratory of Advanced Design and Manufacture for Vehicle Body (Hunan University), and a lecturer at School of Mechanical Engineering, Hunan University of Technology. He is engaged in the study of vehicle aerodynamics.

Shuichang Liu is a doctoral candidate at South China University of Technology, and a lecturer at School of Mechanical Engineering, Hunan University of Technology. She is engaged in the study of vehicle aerodynamics.

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Gu, Z., Mi, C., Ding, Z. et al. An energy-based fatigue life prediction of a mining truck welded frame. J Mech Sci Technol 30, 3615–3624 (2016). https://doi.org/10.1007/s12206-016-0722-4

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  • DOI: https://doi.org/10.1007/s12206-016-0722-4

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