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Comparison of the Fold and Cusp Catastrophe Models for Tensile Cracking and Sliding Rockburst

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  • Xinjiang Wei
  • Xiao Wang
  • Taotao Chen
  • Zhi Ding
  • Xi Wu

Abstract

The failure modes of rockburst in catastrophe theory play an essential role in both theoretical analysis and practical applications. The tensile cracking and sliding rockburst is studied by analyzing the stability of the simplified mechanical model based on the fold catastrophe model. Moreover, the theory of mechanical system stability, together with an engineering example, is introduced to verify the analysis accuracy. Additionally, the results of the fold catastrophe model are compared with that of the cusp catastrophe model, and the applicability of two catastrophe models is discussed. The results show that the analytical results of the fold catastrophe model are consistent with the solutions of the mechanical systems stability theory. Moreover, the critical loads calculated by two catastrophe models are both less than the sliding force, which conforms to the actual situations. Nevertheless, the critical loads calculated from the cusp catastrophe model are bigger than those obtained by the fold catastrophe model. In conclusion, a reasonable result of the critical load can be obtained by the fold catastrophe model rather than the cusp catastrophe model. Moreover, the fold catastrophe model has a much wider application. However, when the potential function of the system is a high-order function of the state variable, the fold catastrophe model can only be used to analyze local parts of the system, and using a more complex catastrophe model such as the cusp catastrophe model is recommended.

Suggested Citation

  • Xinjiang Wei & Xiao Wang & Taotao Chen & Zhi Ding & Xi Wu, 2021. "Comparison of the Fold and Cusp Catastrophe Models for Tensile Cracking and Sliding Rockburst," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, March.
  • Handle: RePEc:hin:jnlmpe:6682999
    DOI: 10.1155/2021/6682999
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    Cited by:

    1. Ting Chen & Jianxiao Ma & Shuang Li & Zhenjun Zhu & Xiucheng Guo, 2023. "Dynamic Evaluation Method for Mutation Degree of Passenger Flow in Urban Rail Transit," Sustainability, MDPI, vol. 15(22), pages 1-17, November.

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