基于云模型与异常识别的桥梁技术状态评定方法
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摘要
针对现行桥梁技术状态评定过程中存在的不确定性以及忽略了主要结构部件对桥梁整体安全使用的影响,提出在评定过程中引入异常识别,并将专门研究不确定性问题的云模型理论与传统的模糊综合分析法相结合,提出一种基于云模型与异常识别的桥梁技术状态评定方法;首先确定各个部件以及结构的权重,然后将评语集、评估数据转换为云模型,并获取在评定过程中引入异常识别前、后的评定结果;最后将该模型应用于某实桥评定中。研究表明:在传统云模型评定中引入异常识别考虑了主要结构部件对桥梁整体安全使用的影响,该模型评价方式更为符合实际工程情况,过程更为客观,结果更为全面。
Current evaluation process for bridge technical condition included the problem of uncertainty and the neglect of the influence of the main structural components on the overall safety of the bridge,so anomaly recognition was introduced into evaluation process. The cloud model theory specialized in uncertainties was combined with the traditional fuzzy comprehensive analysis method,and an evaluation method of bridge technical condition based on cloud model and anomaly recognition was proposed. Firstly,the weight of each component and structure was determined,then the remark set and evaluation data were transformed into cloud model, and the evaluation results before and after introducing anomaly recognition in the evaluation process were acquired. Finally,the proposed model was applied to evaluate an actual bridge. The results show that anomaly recognition is introduced in the traditional cloud model evaluation to consider the impact of main structural components on the overall safety of the bridge. The evaluation method of the proposed model is more in line with the actual engineering situation,the process is more objective and the results are more comprehensive.
Current evaluation process for bridge technical condition included the problem of uncertainty and the neglect of the influence of the main structural components on the overall safety of the bridge,so anomaly recognition was introduced into evaluation process. The cloud model theory specialized in uncertainties was combined with the traditional fuzzy comprehensive analysis method,and an evaluation method of bridge technical condition based on cloud model and anomaly recognition was proposed. Firstly,the weight of each component and structure was determined,then the remark set and evaluation data were transformed into cloud model, and the evaluation results before and after introducing anomaly recognition in the evaluation process were acquired. Finally,the proposed model was applied to evaluate an actual bridge. The results show that anomaly recognition is introduced in the traditional cloud model evaluation to consider the impact of main structural components on the overall safety of the bridge. The evaluation method of the proposed model is more in line with the actual engineering situation,the process is more objective and the results are more comprehensive.
引文
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[11]郝天之,谢正元,陈齐风,等.基于云重心理论的桥梁技术状态评定方法[J].土木工程学报,2017,50(8):78-87.HAO Tianzhi,XIE Zhengyuan,CHEN Qifeng,et al. A bridge condition assessment method based on cloud barycenter theory[J]. China Civil Engineering Journal,2017,50(8):78-87.
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[13]周建庭,谭兴丰,何寿奎,等.模糊层次分析方法在石拱桥加固方案优选中的应用研究[J].公路交通科技,2008,25(1):111-115.ZHOU Jianting,TAN Xingfeng,HE Shoukui,et al. Application of FAHP for stone arch bridge strengthening scheme optimization[J]. Journal of Highway and Transportation Research and Development,2008,25(1):111-115.
[2] XIN J,ZHOU J,YANG S,et al. Bridge structure deformation prediction based on GNSS data using Kalman-ARIMA-GARCH model[J]. Sensors,2018,18(1):298.
[3]兰海,史家钧.灰色关联分析与变权综合法在桥梁评估中的应用[J].同济大学学报(自然科学版),2001,29(1):50-54.LAN Hai,SHI Jiajun. Degree of grey incidence and variable weight synthesizing applied in bridge assessment[J]. Journal of Tongji University(Natural Science),2001,29(1):50-54.
[4]孙强,杜冰清,江姣姣.基于模糊层次综合评价法的梁桥健康评定方法研究[J].世界桥梁,2017,45(2):45-49.SUN Qiang, DU Bingqing, JIANG Jiaojiao. Study of health evaluation method for beam bridge based on multilevel fuzzy comprehensive evaluation method[J]. World Bridges,2017,45(2):45-49.
[5]刘延芳,周泳涛,鲍卫刚.基于模糊评价理论和层次分析的混凝土梁式桥综合性能评估[J].公路交通科技,2012,29(12):96-100.LIU Yanfang, ZHOU Yongtao, BAO Weigang. Comprehensive performance evaluation of concrete beam bridges based on fuzzy evaluation theory and analytic hierarchy process[J]. Journal of Highway and Transportation Research and Development,2012,29(12):96-100.
[6]于博.模糊层次分析法在桥梁安全评估中的应用[J].北方交通,2014(3):33-35.YU Bo. Application of fuzzy analytic hierarchy process(FAHP)in bridge safety evaluation[J]. Northern Communications,2014(3):33-35.
[7]李德毅,刘常昱,杜鹢,等.不确定性人工智能[J].软件学报,2004,15(11):1583-1594.LI Deyi,LIU Changyu,DU Yi,et al. Artificial intelligence with uncertainty[J]. Journal of Software,2004,15(11):1583-1594.
[8]DAI J,LIU X. Approach for text classification based on the similarity measurement between normal cloud models[J]. The Scientific World Journal,2014,2014:784392.
[9]胡甚平,黄常海,张浩.基于云模型的海上交通系统风险蒙特卡罗仿真[J].中国安全科学学报,2012,22(4):20-26.HU Shenping,HUANG Changhai,ZHANG Hao. Cloud modelbased simulation of system risk of marine traffic by Monte Carlo algorithm[J]. China Safety Science Journal,2012,22(4):20-26.
[10]张秋文,章永志,钟鸣.基于云模型的水库诱发地震风险多级模糊综合评价[J].水利学报,2014,45(1):87-95.ZHANG Qiuwen,ZHANG Yongzhi,ZHONG Ming. A cloud model based approach for multi-hierarchy fuzzy comprehensive evaluation of reservoir induced seismic risk[J]. Journal of Hydraulic Engineering,2014,45(1):87-95.
[11]郝天之,谢正元,陈齐风,等.基于云重心理论的桥梁技术状态评定方法[J].土木工程学报,2017,50(8):78-87.HAO Tianzhi,XIE Zhengyuan,CHEN Qifeng,et al. A bridge condition assessment method based on cloud barycenter theory[J]. China Civil Engineering Journal,2017,50(8):78-87.
[12]何金平,高全,施玉群.基于云模型的大坝安全多层次综合评价方法[J].系统工程理论与实践,2016,36(11):2977-2983.HE Jinping, GAO Quan, SHI Yuqun. A multihierarchical comprehensive evaluation method of dam safety based on cloud model[J]. Systems Engineering Theory&Practice,2016,36(11):2977-2983.
[13]周建庭,谭兴丰,何寿奎,等.模糊层次分析方法在石拱桥加固方案优选中的应用研究[J].公路交通科技,2008,25(1):111-115.ZHOU Jianting,TAN Xingfeng,HE Shoukui,et al. Application of FAHP for stone arch bridge strengthening scheme optimization[J]. Journal of Highway and Transportation Research and Development,2008,25(1):111-115.
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