基于中心点白化权函数的桥梁技术状况评定
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摘要
目的在现存桥梁技术状况评定的基础上,结合主观与客观多种因素,提出一种可降低主观因素在桥梁评定时产生影响的方法.方法通过自然环境、人类活动和桥梁自身状况三方面指标的序列曲线几何形状,应用灰色关联法分析与桥梁状况指数的紧密性,从而确定各指标所占权重.同时,根据实际值结合中心点三角白化权模型,得到三个方面对应的综合聚类系数,以此判断影响桥梁的主要因素,对技术状况进行综合评定.结果本体系对16年富峰桥技术状况进行评定,由综合聚类表表明自然环境和桥梁自身状况都属于"合格状态",综合聚类数值分别为0. 546 3和0. 372 8.结合该桥三方面影响的权重值0. 189、0. 241、0. 570,综合判定该桥梁属于"合格状态",对原评定结果"不合格状态"进行修正,减少了人为主观在工程评定中的影响.结论利用灰色系统理论对桥梁技术状况进行评定,可以充分考虑影响桥梁状况的多种因素,降低人为主观造成评定时的误差,能够得到更加准确客观3的桥梁技术状况评定结果.
Based on the assessment of existing bridge technology status,combined with subjective and objective factors,this paper proposed a method to reduce the influence of subjective factors on bridge assessment. Through the sequence curve geometry of the natural environment,human activities and the status of the bridge itself,the gray correlation method is used to analyze the tightness of the bridge condition index,so as to determine the weight of each indicator. At the same time,according to the actual value and the central point triangle whitening weight model,the comprehensive clustering coefficients corresponding to the three aspects are obtained,so as to judge the main factors affecting the bridge and comprehensively evaluate the technical status. This system evaluates thetechnical status of Fufeng Bridge in 2016,the comprehensive clustering table shows that the natural environment and the bridge itself are in the "qualified state",and the comprehensive clustering values are 0. 546 3 and 0. 372 8 respectively. Combined with the weight values of the three aspects of the bridge,the factors are 0. 189,0. 241,and 0. 570. The bridge could be comprehensively judged to belong to the " qualified state",that correct the original evaluation result " unqualified state",which reduces the influence of human subjectivity in engineering evaluation. Using gray system theory to evaluate the technical status of bridges,we can fully consider the various factors affecting the condition of bridges,reducing the error caused by the human subjective assessment,and obtain more accurate and objective evaluation of the bridge technology status.
Based on the assessment of existing bridge technology status,combined with subjective and objective factors,this paper proposed a method to reduce the influence of subjective factors on bridge assessment. Through the sequence curve geometry of the natural environment,human activities and the status of the bridge itself,the gray correlation method is used to analyze the tightness of the bridge condition index,so as to determine the weight of each indicator. At the same time,according to the actual value and the central point triangle whitening weight model,the comprehensive clustering coefficients corresponding to the three aspects are obtained,so as to judge the main factors affecting the bridge and comprehensively evaluate the technical status. This system evaluates thetechnical status of Fufeng Bridge in 2016,the comprehensive clustering table shows that the natural environment and the bridge itself are in the "qualified state",and the comprehensive clustering values are 0. 546 3 and 0. 372 8 respectively. Combined with the weight values of the three aspects of the bridge,the factors are 0. 189,0. 241,and 0. 570. The bridge could be comprehensively judged to belong to the " qualified state",that correct the original evaluation result " unqualified state",which reduces the influence of human subjectivity in engineering evaluation. Using gray system theory to evaluate the technical status of bridges,we can fully consider the various factors affecting the condition of bridges,reducing the error caused by the human subjective assessment,and obtain more accurate and objective evaluation of the bridge technology status.
引文
[1]张永强.《公路桥梁技术状况评定标准》应用中几个问题探讨[J].中外公路,2015,35(2):129-131.(ZHANGYongqiang. Discussion on several problems in application of highway bridge technical condition evaluation standard[J]. Journal of China&foreign highway,2015,35(2):129-131.)
[2]杨正昕.公路桥梁技术状况评定标准在工程中的运用[J].山西建筑,2014,40(11):213-214.(YANGZhengxin. Application of highway bridge technology evaluation criteria in the engineering[J]. Shanxi architecture,2014,40(11):213-214.)
[3]马军海,陈艾荣,张文学.公路桥梁技术状况评定体系及其应用[J].石家庄铁道学院学报,2006,19(4):77-87.(MA Junhai,CHEN Airong,ZHANGWenxue. Evaluation system for condition states of highway bridges and application[J]. Journal of Shijiazhuang railway institute,2006,19(4):77-87.)
[4] LI Q X,LIU S F. The foundation of the grey matrix and the grey input–output analysis[J]. Applied mathematical modelling,2008,32(3):267-291.
[5]谢锡康.基于模糊数学理论的桥梁技术状况评定方法研究[J].湖南交通科技,2016,42(2):128-131.(XIE Xikang. Research on evaluation method of bridge technical condition based on fuzzy mathematics theory[J]. Hunan communication science and technology,2016,42(2):128-131.)
[6]袁可佳,刘蕊.公路桥梁技术状况模糊综合评价研究[J].南阳理工大学学报,2015,7(6):89-97.(YUAN Kejia,LIU Rui. Research on fuzzy comprehensive evaluation of highway bridge technology status[J]. Journal of Nanyang university of science and technology,2015,7(6):89-97.)
[7]郭杨,杜勇锋,李邦映.模糊数学方法在桥梁技术状况评定中的应用[J].安徽建筑,2008,15(6):100-101.(GUO Yang,DU Yongfeng,LI Bangying. Application of fuzzy mathematical method in assessment of bridge technology status[J]. Anhui architecture,2008,15(6):100-101.)
[8]徐锦,缪辉辉.桥梁技术状况的模糊评价方法研究[J].华东公路,2009,175(1):68-70.(XU Jin,MIU Huihui. Research on fuzzy evaluation method of bridge technical status[J].East China highway,2009,175(1):68-70.)
[9]陈栋梁.桥梁技术状况评定方法比较研究[D].重庆:重庆交通大学,2013.(CHEN Dongliang. Comparative study on evaluation methods of bridge technology status[D]. Chongqing:Chongqing Jiaotong University,2013.)
[10]庞伟英,樊燕燕,李红,等.基于灰色聚类法的大跨径桥梁施工阶段风险评价[J].工程管理学报,2015(2):101-105.(PANGWeiying,FAN Yanyan,LI Hong,et al. Risk assessment of long span bridge construction stage based on grey clustering method[J]. Journal of engineering management,2015(2):101-105.)
[11]胡丽平,韩大建.考虑环境因素影响的动态法桥梁损伤识别[J].华南理工大学学报(自然科学版),2007,35(3):117-121.(HU Liping,HAN Dajian. Vibration based damage detection of bridge considering influence of changing environment[J]. Journal of south China university of technology(natural science edition),2007,35(3):117-121.
[12]魏美玲.海湾大桥运营期间的风险评估[D].西安:长安大学,2012.(WEI Meiling. The risk assessment on the service life of bay bridge[D]. Xi'an:Chang'an University,2012.)
[13]王玉倩.混凝土强度检测技术在建筑工程中的应用研究[D].长沙:湖南大学,2007.(WANGYuqian. Application of concrete strength testing technology in construction engineering[D]. Changsha:Hunan University,2007)
[14]张禹.钢筋锈蚀率对桥梁结构耐久性的影响分析[D].北京:北京化工大学,2013.(ZHANGYu. The effect analysis of rebar corrosion rate on durability of bridge structures[D]. Beijing:Beijing University of Chemical Technology,2013.)
[15]刘思峰,杨英杰,吴利丰.灰色系统理论及其应用[M]. 7版.北京:科学出版社,2014.(LIU Sifeng,YANGYingjie,WU Lifeng.Grey system theory and its application[M].7th ed. Beijing:Science Press,2014.)
[16] KAWAMURA K,MIYAMOTO A. Condition state evaluation of existing reinforced concrete bridges using neuro-fuzzy hybrid system[J].Computers&structures,2003,81(18):1931-1940.
[17] MORCOUS G,LOUNIS Z,MIRZA MS. Identification of environmental categories for markovian deterioration models of bridge decks[J].Journal of bridge engineering,2003,8(6):353-361.
[18] GOLMOHAMMADI D, MELLAT-PARAST M. Developing a grey-based decision-making model for supplier selection[J]. International journal of production economics,2012,137(2):191-200.
[19] FANGZ,LIU S,SHI H,et al. Grey game theory and its applications in economic decisionmaking[M]. NewYork:Taylor&Francis Group,2010.
[20] LI Q X,LIU S F. The foundation of the grey matrix and the grey input-output analysis[J].Applied mathematical modelling,2008(32):267-291.
[2]杨正昕.公路桥梁技术状况评定标准在工程中的运用[J].山西建筑,2014,40(11):213-214.(YANGZhengxin. Application of highway bridge technology evaluation criteria in the engineering[J]. Shanxi architecture,2014,40(11):213-214.)
[3]马军海,陈艾荣,张文学.公路桥梁技术状况评定体系及其应用[J].石家庄铁道学院学报,2006,19(4):77-87.(MA Junhai,CHEN Airong,ZHANGWenxue. Evaluation system for condition states of highway bridges and application[J]. Journal of Shijiazhuang railway institute,2006,19(4):77-87.)
[4] LI Q X,LIU S F. The foundation of the grey matrix and the grey input–output analysis[J]. Applied mathematical modelling,2008,32(3):267-291.
[5]谢锡康.基于模糊数学理论的桥梁技术状况评定方法研究[J].湖南交通科技,2016,42(2):128-131.(XIE Xikang. Research on evaluation method of bridge technical condition based on fuzzy mathematics theory[J]. Hunan communication science and technology,2016,42(2):128-131.)
[6]袁可佳,刘蕊.公路桥梁技术状况模糊综合评价研究[J].南阳理工大学学报,2015,7(6):89-97.(YUAN Kejia,LIU Rui. Research on fuzzy comprehensive evaluation of highway bridge technology status[J]. Journal of Nanyang university of science and technology,2015,7(6):89-97.)
[7]郭杨,杜勇锋,李邦映.模糊数学方法在桥梁技术状况评定中的应用[J].安徽建筑,2008,15(6):100-101.(GUO Yang,DU Yongfeng,LI Bangying. Application of fuzzy mathematical method in assessment of bridge technology status[J]. Anhui architecture,2008,15(6):100-101.)
[8]徐锦,缪辉辉.桥梁技术状况的模糊评价方法研究[J].华东公路,2009,175(1):68-70.(XU Jin,MIU Huihui. Research on fuzzy evaluation method of bridge technical status[J].East China highway,2009,175(1):68-70.)
[9]陈栋梁.桥梁技术状况评定方法比较研究[D].重庆:重庆交通大学,2013.(CHEN Dongliang. Comparative study on evaluation methods of bridge technology status[D]. Chongqing:Chongqing Jiaotong University,2013.)
[10]庞伟英,樊燕燕,李红,等.基于灰色聚类法的大跨径桥梁施工阶段风险评价[J].工程管理学报,2015(2):101-105.(PANGWeiying,FAN Yanyan,LI Hong,et al. Risk assessment of long span bridge construction stage based on grey clustering method[J]. Journal of engineering management,2015(2):101-105.)
[11]胡丽平,韩大建.考虑环境因素影响的动态法桥梁损伤识别[J].华南理工大学学报(自然科学版),2007,35(3):117-121.(HU Liping,HAN Dajian. Vibration based damage detection of bridge considering influence of changing environment[J]. Journal of south China university of technology(natural science edition),2007,35(3):117-121.
[12]魏美玲.海湾大桥运营期间的风险评估[D].西安:长安大学,2012.(WEI Meiling. The risk assessment on the service life of bay bridge[D]. Xi'an:Chang'an University,2012.)
[13]王玉倩.混凝土强度检测技术在建筑工程中的应用研究[D].长沙:湖南大学,2007.(WANGYuqian. Application of concrete strength testing technology in construction engineering[D]. Changsha:Hunan University,2007)
[14]张禹.钢筋锈蚀率对桥梁结构耐久性的影响分析[D].北京:北京化工大学,2013.(ZHANGYu. The effect analysis of rebar corrosion rate on durability of bridge structures[D]. Beijing:Beijing University of Chemical Technology,2013.)
[15]刘思峰,杨英杰,吴利丰.灰色系统理论及其应用[M]. 7版.北京:科学出版社,2014.(LIU Sifeng,YANGYingjie,WU Lifeng.Grey system theory and its application[M].7th ed. Beijing:Science Press,2014.)
[16] KAWAMURA K,MIYAMOTO A. Condition state evaluation of existing reinforced concrete bridges using neuro-fuzzy hybrid system[J].Computers&structures,2003,81(18):1931-1940.
[17] MORCOUS G,LOUNIS Z,MIRZA MS. Identification of environmental categories for markovian deterioration models of bridge decks[J].Journal of bridge engineering,2003,8(6):353-361.
[18] GOLMOHAMMADI D, MELLAT-PARAST M. Developing a grey-based decision-making model for supplier selection[J]. International journal of production economics,2012,137(2):191-200.
[19] FANGZ,LIU S,SHI H,et al. Grey game theory and its applications in economic decisionmaking[M]. NewYork:Taylor&Francis Group,2010.
[20] LI Q X,LIU S F. The foundation of the grey matrix and the grey input-output analysis[J].Applied mathematical modelling,2008(32):267-291.