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| INTELLIGENT METHODS AND ITS INTEGRATION FOR BOLT-SHOTCRETE SUPPORT DESIGN OF UNDERGROUND ROCK EXCAVATION |
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Abstract An integrated intelligent method for bolt-shotcrete support design in underground rock excavation is presented. Firstly, the expert system and artificial neural network as well as case-based design are applied to predict the parameters for support individually. Then the divisional weight-adapting multi-expert decision algorithm is used to integrate those results given by above artificial intelligent methods andform the last design scheme. The method proposed here can comprehensively consider different artificial intelligent design methods and provide the support parameters which are closest to practice. The method can be used as a practical tool for the support design of underground rock excavation.
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Received: 12 April 2002
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CHEN Weizhong1*, LIU Xinyu1, 2, YANG Jianping1, WANG Wei1, 2, ZANG Zhonghai3, DING Hongyuan3, ZHANG Zheyuan3, WANG Xiaogang3, SHI Zhengrong1. Development of a large-scale 3D physical model test system for underground energy storage caverns and its model experimental study[J]. , 2026, 45(6): 1615-1628. |
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