地下结构震害风险信息融合方法研究
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摘要
为提高地下结构震害风险判决的科学性和智能化水平,提出一种基于证据理论的地下结构震害风险信息融合方法。在地下结构震害风险智能监测的基础上,根据震害风险融合原理,构建基于智能监测和专家判决的地下结构震害风险融合模型。遵循证据理论的原则和模型规则,构造统一的地下结构震害状态空间和风险概率表达方式,建立风险融合证据框架,确定判决规则,设计风险融合证据模型组件。计算结果表明,该模型能有效提高地下结构震害信息诊断的可信度,充分显示了该融合模型组件的有效性。
To improve the scientific and intelligent peculiarity in the earthquake-damaged risk judgments for underground structure,an earthquake-damaged risk information fusion method is proposed based on evidence theory. On describing the principle of such risk intelligent monitoring structures for underground engineering,the earthquakedamaged risk fusion rule is proposed,and the earthquake-damaged risk fusion model is erected for underground structure on intelligent monitoring and expert judgments. Following the nature ideology and model rule of evidence theory,the uniform status space and risk probability expression mode is established,the fusion frame is built,the decision-making rule is determined,and the fusion model component is designed for the risk evidences about such earthquake-damaged underground structure. Example shows that the model can effectively improve the decision-making credibility about the earthquake-damaged information fusion for underground structure,fully demonstrating the effectiveness of such fusion model component.
To improve the scientific and intelligent peculiarity in the earthquake-damaged risk judgments for underground structure,an earthquake-damaged risk information fusion method is proposed based on evidence theory. On describing the principle of such risk intelligent monitoring structures for underground engineering,the earthquakedamaged risk fusion rule is proposed,and the earthquake-damaged risk fusion model is erected for underground structure on intelligent monitoring and expert judgments. Following the nature ideology and model rule of evidence theory,the uniform status space and risk probability expression mode is established,the fusion frame is built,the decision-making rule is determined,and the fusion model component is designed for the risk evidences about such earthquake-damaged underground structure. Example shows that the model can effectively improve the decision-making credibility about the earthquake-damaged information fusion for underground structure,fully demonstrating the effectiveness of such fusion model component.
引文
[1]徐龙军,张相忠,胡进军.地下工程震害与地下地震动的位移特征[J].青岛理工大学学报,2008,29(3):16-21.
[2]Zhang Yonghui,Fu Xiaodong,Sheng Qian.Modification of the Discontinuous Deformation Analysis Method and Its Application to Seismic Response Analysis of Large Underground Caverns[J].Journal of Tunnelling and Underground Space Technology,2014,40(1):241-250.
[3]Sannen D,Brussel H V.A Multilevel Information Fusion Approach for Visual Quality Inspection[J].Journal of Information Fusion,2012,13(2):48-59.
[4]胡鑫,杨智春,王乐.基于振动响应内积向量和数据融合的结构损伤检测方法试验研究[J].振动与冲击,2013,32(14):109-115.
[5]焦莉,李宏男,张海,等.基于数据融合和“能量-损伤”的结构多损伤模式识别[J].振动与冲击,2010,29(8):120-123.
[6]Zadeh L.A Simple View of the Dempster-shafertheory of Evidence and Its Impficafion for the Rule of Combination[J].AI Magazine,1986,7(1):85-90.
[7]Wang Fengshan,Zhang Hongjun,Zhu Wanhong.Damage Information Fusion Model to Military Engineering Based on Intellectualized Structure[C]//Proceedings of International Conference on Computing,Control and Industrial Engineering.Washington D.C.,USA:IEEE Press,2010:333-336.
[8]尚盈,袁慎芳,吴键,等.基于无线传感网络的大型结构健康监测系统[J].数据采集与处理,2009,24(2):254-258.
[9]骆宇时,罗为民,张伟.智能材料在混凝土结构中的应用研究简介[J].人民长江,2002,33(3):29-31.
[10]Luo Ren,Kay M G.Multisensor Integration and Fusion in Intelligent Systems[J].IEEE Transactions on Systems,Man and Cybernetics,1989,19(5):901-931.
[11]Hall D L.Mathematical Technique of Multisensor Data Fusion[M].Norwood,USA:Artech House,1992.
[12]任红卫,邓飞其.基于证据理论的信息融合故障诊断方法[J].系统工程与电子技术,2005,27(3):471-473.
[13]Dempster A P.Upper and Lower Probabilities Induced by a Multi-valued Mapping[J].Annals of Mathematical Statistics,1967,38(2):325-339.
[14]Deng Yong,Shi Wenkang,Zhu Zhenfu.Efficient Combination Approach of Conflict Evidence[J].Journal of Infrared Millimeter Waves,2004,23(1):27-32.
[15]Murphy C K.Combining Belief Funcfions when Evidence Conflicts[J].Decision Support Systems,2000,29(1):1-9.
[16]杨杰,李爱群,李兆霞.桥梁结构健康监测的数据融合框架[J].防灾减灾工程学报,2008,28(3):292-297.
[17]廖瑞金,廖玉祥,杨丽君,等.多神经网络与证据理论融合的变压器故障综合诊断方法研究[J].中国电机工程学报,2006,26(3):119-124.
[2]Zhang Yonghui,Fu Xiaodong,Sheng Qian.Modification of the Discontinuous Deformation Analysis Method and Its Application to Seismic Response Analysis of Large Underground Caverns[J].Journal of Tunnelling and Underground Space Technology,2014,40(1):241-250.
[3]Sannen D,Brussel H V.A Multilevel Information Fusion Approach for Visual Quality Inspection[J].Journal of Information Fusion,2012,13(2):48-59.
[4]胡鑫,杨智春,王乐.基于振动响应内积向量和数据融合的结构损伤检测方法试验研究[J].振动与冲击,2013,32(14):109-115.
[5]焦莉,李宏男,张海,等.基于数据融合和“能量-损伤”的结构多损伤模式识别[J].振动与冲击,2010,29(8):120-123.
[6]Zadeh L.A Simple View of the Dempster-shafertheory of Evidence and Its Impficafion for the Rule of Combination[J].AI Magazine,1986,7(1):85-90.
[7]Wang Fengshan,Zhang Hongjun,Zhu Wanhong.Damage Information Fusion Model to Military Engineering Based on Intellectualized Structure[C]//Proceedings of International Conference on Computing,Control and Industrial Engineering.Washington D.C.,USA:IEEE Press,2010:333-336.
[8]尚盈,袁慎芳,吴键,等.基于无线传感网络的大型结构健康监测系统[J].数据采集与处理,2009,24(2):254-258.
[9]骆宇时,罗为民,张伟.智能材料在混凝土结构中的应用研究简介[J].人民长江,2002,33(3):29-31.
[10]Luo Ren,Kay M G.Multisensor Integration and Fusion in Intelligent Systems[J].IEEE Transactions on Systems,Man and Cybernetics,1989,19(5):901-931.
[11]Hall D L.Mathematical Technique of Multisensor Data Fusion[M].Norwood,USA:Artech House,1992.
[12]任红卫,邓飞其.基于证据理论的信息融合故障诊断方法[J].系统工程与电子技术,2005,27(3):471-473.
[13]Dempster A P.Upper and Lower Probabilities Induced by a Multi-valued Mapping[J].Annals of Mathematical Statistics,1967,38(2):325-339.
[14]Deng Yong,Shi Wenkang,Zhu Zhenfu.Efficient Combination Approach of Conflict Evidence[J].Journal of Infrared Millimeter Waves,2004,23(1):27-32.
[15]Murphy C K.Combining Belief Funcfions when Evidence Conflicts[J].Decision Support Systems,2000,29(1):1-9.
[16]杨杰,李爱群,李兆霞.桥梁结构健康监测的数据融合框架[J].防灾减灾工程学报,2008,28(3):292-297.
[17]廖瑞金,廖玉祥,杨丽君,等.多神经网络与证据理论融合的变压器故障综合诊断方法研究[J].中国电机工程学报,2006,26(3):119-124.
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