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Markovian geology prediction approach and its application in mountain tunnels

机译:马尔可夫地质预报方法及其在山区隧道中的应用

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摘要

A geology prediction approach based on Markov random process and Bayesian updating procedure is presented in this article. It can dynamically predict the ground conditions ahead of tunnel face in a probabilistic way with very low cost, when the tunnel face advances and new geological information is revealed. The application case study on Chuangshi Tunnel project shows that the prediction results fit the real grounds condition well, especially for the short range ahead of face. This approach can be regarded as a good complement to the geophysical prospecting approach during the construction of mountain tunnels.
机译:提出了一种基于马尔可夫随机过程和贝叶斯更新程序的地质预测方法。当隧道面前进并揭示新的地质信息时,它可以以非常低的成本以概率方式动态预测隧道面前方的地面状况。以创始隧道工程为例,预测结果与实际情况基本吻合,尤其是对前方的短距离预测。在山区隧道的建设过程中,该方法可被视为地球物理勘探方法的良好补充。

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