| BP神经网络技术与Geo-Studio对比分析隧道围岩应变并预测 |
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| 引用本文： | 刘旭,陈剑平. BP神经网络技术与Geo-Studio对比分析隧道围岩应变并预测[J]. 长春工程学院学报(自然科学版), 2007, 8(4): 24-28 |
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| 作者姓名： | 刘旭 陈剑平 |
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| 作者单位： | 吉林大学,建设工程学院,长春,130026;吉林大学,建设工程学院,长春,130026 |
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| 摘 要： | 隧道新奥法施工中,围岩应变是评判围岩稳定性和施工组织的经济合理性的重要指标。根据监控实测资料,针对围岩应变随时间的变化,采用人工神经网络技术建立实时跟踪预测模型,通过将预测结果与实测数据对比,并结合有限元数值模拟结果分析,发现三者吻合得较好,能够对围岩的进一步变形做出合理预测。
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| 关 键 词： | 隧道围岩应变 BP神经网络 有限元 Geo-Studio 预测模型 |
| 文章编号： | 1009-8984(2007)04-0024-05 |
| 修稿时间： | 2007-09-20 |
Analyse and prediction to surrounding rock deformation in tunnel with BP neural network and Geo -studio |
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| LIU Xu,CHEN Jian-ping. Analyse and prediction to surrounding rock deformation in tunnel with BP neural network and Geo -studio[J]. Journal of Changchun Institute of Technology(Natural Science Edition), 2007, 8(4): 24-28 |
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| Authors: | LIU Xu CHEN Jian-ping |
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| Abstract: | In new Austrian tunnel method,surrounding rock deformation is an important index in judging the stability of surrounding rock and the economy rationali- ty of construction organization.The text basing on the monitoring data,build a prediction model to rock de- formation with BP neural network.By contrasting the prediction and monitoring data,meanwhile,combined finite element simulation,find they are of good agree- ment,can rationally predict the rock deformation. |
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| Keywords: | surrounding rock deformation in tunnel BP neural network finite element Geo-Studio prediction model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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