The study of tunnel failure characteristics under the load of external explosion source is an important problem in tunnel design and protection, in particular, it is of great significance to construct an intelligent topological feature description of the tunnel failure process. The failure characteristics of tunnels under explosive loading are described by using discrete element method and persistent homology-based machine learning. Firstly, the discrete element model of shallow buried tunnel was established in the discrete element software, and the explosive load was equivalent to a series of uniformly distributed loads acting on the surface by Saint-Venant principle, and the dynamic response of the tunnel under multiple explosive loads was obtained through iterative calculation. The topological characteristics of surrounding rock is studied by persistent homology-based machine learning. The geometric, physical and interunit characteristics of the tunnel subjected to explosive loading are extracted, and the nonlinear mapping relationship between the topological quantity of persistent homology, and the failure characteristics of the surrounding rock is established, and the results of the intelligent description of the failure characteristics of the tunnel are obtained. The research shows that the length of the longest Betty 1 bar code is closely related to the stability of the tunnel, which can be used for effective early warning of the tunnel failure, and an intelligent description of the tunnel failure process can be established to provide a new idea for tunnel engineering protection.

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基于持久同源性机器学习的多次爆炸荷载作用下隧道破坏特性分析

外爆源载荷作用下隧道破坏特性的研究是隧道设计与防护中的一个重要问题，尤其是构建隧道破坏过程的智能拓扑特征描述具有重要意义。采用离散元法和基于持久同调的机器学习方法描述爆炸荷载作用下隧道的破坏特征。首先，在离散元软件中建立浅埋隧道离散元模型，将爆炸荷载根据圣维南原理等效为一系列作用于地表的均布荷载，在多重作用下隧道的动力响应爆炸载荷通过迭代计算得到。基于持久同源性的机器学习研究围岩的拓扑特征。提取爆炸荷载作用下隧道的几何、物理和单元间特征，建立持久同调拓扑量与围岩破坏特征的非线性映射关系，智能描述结果得到隧道的破坏特征。研究表明，最长的Betty 1条码长度与隧道的稳定性密切相关，可用于隧道失效的有效预警，可建立隧道失效过程的智能描述，提供隧道工程防护的新思路。提取爆炸荷载作用下隧道的物理特性和单元间特性，建立持久同调拓扑量与围岩破坏特征的非线性映射关系，对隧道破坏特征进行智能描述。获得隧道。研究表明，最长的Betty 1条码长度与隧道的稳定性密切相关，可用于隧道失效的有效预警，可建立隧道失效过程的智能描述，提供隧道工程防护的新思路。提取爆炸荷载作用下隧道的物理特性和单元间特性，建立持久同调拓扑量与围岩破坏特征的非线性映射关系，对隧道破坏特征进行智能描述。获得隧道。研究表明，最长的Betty 1条码长度与隧道的稳定性密切相关，可用于隧道失效的有效预警，可建立隧道失效过程的智能描述，提供隧道工程防护的新思路。建立围岩破坏特征，得到隧道破坏特征智能描述结果。研究表明，最长的Betty 1条码长度与隧道的稳定性密切相关，可用于隧道失效的有效预警，可建立隧道失效过程的智能描述，提供隧道工程防护的新思路。建立围岩破坏特征，得到隧道破坏特征智能描述结果。研究表明，最长的Betty 1条码长度与隧道的稳定性密切相关，可用于隧道失效的有效预警，可建立隧道失效过程的智能描述，提供隧道工程防护的新思路。