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作 者:马东辉[1,2] 罗立 王威[1,2] 郭小东[1,2] 刘朝峰 MA Donghui;LUO Li;WANG Wei;GUO Xiaodong;LIU Chaofeng(Faculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China;Institute of Earthquake Resistance and Disaster Reduction,Beijing University of Technology,Beijing 100124,China;School of Civil and Transportation Engineering,Hebei University of Technology,Tianjin 300401,China)
机构地区:[1]北京工业大学城市建设学部,北京100124 [2]北京工业大学抗震减灾研究所,北京100124 [3]河北工业大学土木与交通学院,天津300401
出 处:《北京工业大学学报》2023年第11期1167-1179,共13页Journal of Beijing University of Technology
基 金:国家自然科学基金资助项目(52278472);河北省自然科学基金资助项目(E2022202119)。
摘 要:为了解决桥梁在地震作用下发生各类损伤与不同影响因素之间的关系复杂且难以发现的问题,将桥梁的破坏情况与桥墩类型、结构类型、支座类型、平面线形、基础类型、交角、断层距、峰值地面加速度等影响因素相结合,利用优势关系粗糙集对桥梁损伤的条件属性进行约简,提取了汶川地震中374座桥梁发生各类破坏的最少关联规则集,另选20座桥梁进行测试,将结果与不可分辨关系粗糙集理论和分类回归树算法进行对比,结果表明对于震后桥梁损伤状态评价决策关联规则,采用基于优势关系粗糙集理论生成的规则比传统的基于不可分辨关系粗糙集理论和分类回归树算法生成的规则更加准确,因此在今后的桥梁损伤判别研究和规则提取中可以加以利用。To solve the problem that the relationship between various types of damage and different influencing factors of bridge under earthquake is complicated and difficult to find,the damage situation of the bridge was analyzed combined with bridge pier type,structure type,bearing type,plane line shape,foundation type,intersection angle,fault distance,and peak ground acceleration.The conditional attribute of bridge damage were reduced by using the dominance relation-based rough set approach.The minimum sets of association rules of 374 bridges in Wenchuan earthquake were extracted.Another 20 bridges were selected for testing.Results were compared with indiscernibility relational rough set theory and classification and regression tree algorithm.Results show that for the evaluation system of post-earthquake bridge damage state,compared to the traditional generation rule based on indiscernibility relation rough set theory and classification and regression tree algorithm,the dominance relation-based rough set approach is more accurate,and can be used in the future research of bridge damage discrimination studies and rule extraction.
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