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作 者:周晶 贾非 赵家彬 ZHOU Jing;JIA Fei;ZHAO Jiabin(Beijing Zhongjiao Engineering Testing Technology Co.,Ltd.,Beijing 100097,China;China Highway Engineering Consulting Group Co.,Ltd.,Beijing 100097,China;Research&Development Center for Highway Construction and Maintenance Technology,Materials and Equipment Transportation Industry,Beijing 100097,China;Research&Development Center for Highway Pavement Maintenance Technology of CCCC Group,Beijing 100097,China)
机构地区:[1]中咨公路养护检测技术有限公司,北京100097 [2]中国公路工程咨询集团有限公司,北京100097 [3]公路建设与养护技术、材料及装备交通运输行业研发中心,北京100097 [4]中交集团公路路面养护技术研发中心,北京100097
出 处:《路基工程》2025年第2期35-41,共7页Subgrade Engineering
摘 要:通过数据挖掘手段对与边坡工程事故相关文本进行致险因素的提取与训练,建立边坡安全风险词语库,构建事故链并对各指标进行量化评分;引入S-AHP算法对原始判断矩阵进行优化,保留原有重要性比较的前提下自动满足一致性检验;引入惩罚型变权均衡函数对指标常权重进行动态化调整;构建的变权S-AHP风险评价体系可将不良指标按照预设比例放大其对应权重,应用于都香高速公路高陡路堑边坡的施工安全评估,适用性良好。By means of data mining,disaster-causing factors of the text related to slope engineering accidents is extracted and trained,and the vocabulary of slope safety risk is established,the accident chain is constructed and each index is quantitatively scored.S-AHP algorithm is introduced to optimize the original judgment matrix,and the consistency test is automatically met on the premise of retaining the original importance comparison;the penalty variable weight equilibrium function is introduced to dynamically adjust the constant weight of the index;the risk assessment system of variable weight S-AHP can enlarge the corresponding weight of bad indicators according to the preset proportion,and it has good applicability in the construction safety assessment of high and steep cutting slopes of Duyun—Shangrila Expressway.
关 键 词:边坡工程 致灾因素 数据挖掘 S-AHP 变权层次分析 指标量化 安全评估
分 类 号:U416[交通运输工程—道路与铁道工程]
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