| Study of Intellegent Mehod on the Tunnel Supporting Time |
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| 作者姓名： | SUN Hai-tao LIU Dong-yan HUANG Sheng-shu YANG Ting-ba |
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| 作者单位： | 1. College of Civil Engineering,Chongqing University,Chongqing 400045, China; 2. The Chongqing Branch of China Coal Research Institute,Chongqing 400037, China; 3. The fifth Department of Chinese Railway Tunnel Group Company, Guangdong Lechang 512200, Chin |
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| 摘 要： | As an useful perspective,the NATM has gone into many hands of the tunnel and underground structure designs and constructions.But the supporting time,which determines the tunnel's support quality,is usually determined by the engineer's experience.What's more,different engineers have different decisions on the supporting time,so the construction project quality would vary greatly.In this thesis the neuro-fuzzy inferential system was set up to gain the supporting time,which can make a good use of the experience of the engineering projects.The result suggests that this system has a good accuracy and is useful in the engineering practice.
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| 关 键 词： | tunnel supporting time neuro-network fuzzy inference |
| 修稿时间： | 2007/1/25 0:00:00 |
Study of Intellegent Mehod on the Tunnel Supporting Time |
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| SUN Hai-tao,LIU Dong-yan,HUANG Sheng-shu,YANG Ting-ba.Study of Intellegent Mehod on the Tunnel Supporting Time[J].Storage & Process,2007(3):78-82. |
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| Authors: | SUN Hai-tao LIU Dong-yan HUANG Sheng-shu YANG Ting-ba |
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| Institution: | 1. College of Civil Engineering,Chongqing University,Chongqing 400045, China; 2. The Chongqing Branch of China Coal Research Institute,Chongqing 400037, China; 3. The fifth Department of Chinese Railway Tunnel Group Company, Guangdong Lechang 512200, Chin |
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| Abstract: | As an useful perspective,the NATM has gone into many hands of the tunnel and underground structure designs and constructions.But the supporting time,which determines the tunnel's support quality,is usually determined by the engineer's experience.What's more,different engineers have different decisions on the supporting time,so the construction project quality would vary greatly.In this thesis the neuro-fuzzy inferential system was set up to gain the supporting time,which can make a good use of the experience of the engineering projects.The result suggests that this system has a good accuracy and is useful in the engineering practice. |
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| Keywords: | tunnel supporting time neuro-network fuzzy inference |
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