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融合多源数据的桥梁技术状况指标评定方法

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为可靠地评定桥梁技术状况,针对桥梁技术状况评定过程的模糊性和不确定性特点,提出一种融合多源数据的桥梁技术状况指标评定方法.该方法首先通过云模型分别将桥梁技术状况指标的检测值和监测值转化为指标各等级的隶属度,并用隶属度构造改进Dempster-Shafer证据理论的基本信任分配函数,再结合证据冲突/一致度和信息熵确定综合权重系数,对基本信任分配函数进行修正,然后采用Dempster合成规则融合得到综合基本信任分配函数,最后依据最大隶属度原则得到指标的标度,实现桥梁技术状况的可靠评定.采用该方法和《公路桥梁技术状况评定标准》(JTG/T H21-2011,现行评定方法)分别评定某座斜拉桥的索力指标,结果表明,与现行评定方法相比,该方法的评定结果对应的养护对策与实际养护对策更相符,该方法有效、可行.
Evaluation Method of Bridge Technical Condition Indexes Based on Multi-Source Data Fusion
To reliably evaluate the technical condition of bridges,considering fuzziness and uncertainty in bridge technical condition evaluation process,an evaluation method based on multi-source data fusion is proposed.Firstly,the detection and monitoring values of an index are transformed into the membership degrees of the index levels through cloud model,and basic trust distribution functions of an improved Dempster-Shafer evidence theory is constructed according to the membership degrees.Secondly,the comprehensive weight coefficients are obtained by using the combination of conflict/consistent degree and information entropy to correct the basic trust distribution functions.Then,the Dempster's fusion rule is used to fuse the basic trust distribution functions,and the comprehensive trust distribution function is gained.Finally,the evaluation scaling of the index is determined according to the maximum membership degree criterion,achieving reliable assessment of the technical condition of bridges.The proposed method and the method described in standards for Technical Condition Evaluation of Highway Bridges(JTG/T H21-2011)were used for the condition evaluation of the cable force of a cable-stayed bridge,respectively.The results reveal that compared to the method described in JTG/T H21-2011,the corresponding maintenance action of the evaluation result of the proposed method was more consistent with the practice.Consequently,the feasibility and availability of the proposed method are verified.

bridge engineeringtechnical condition evaluationmembership degreeevidence theorycloud modeldata fusion

张阳、梁鹏、夏子立、李聪、刘玖贤

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长安大学公路学院,陕西西安 710064

长安大学公路大型结构安全教育部工程研究中心,陕西西安 710064

港珠澳大桥管理局,广东珠海 519000

中铁桥研科技有限公司,湖北武汉 430034

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桥梁工程 技术状况评定 隶属度 证据理论 云模型 数据融合

国家重点研发计划项目

2019YFB1600702

2024

桥梁建设
中铁大桥局集团有限公司

桥梁建设

CSTPCD北大核心
影响因子:1.428
ISSN:1003-4722
年,卷(期):2024.54(1)
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