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机构地区:[1]汕头大学土木工程系,广东汕头515063 [2]湖南城建职业技术学院,湖南湘潭411100 [3]中南大学资源与安全工程学院,湖南长沙410083
出 处:《中南大学学报(自然科学版)》2016年第1期210-217,共8页Journal of Central South University:Science and Technology
基 金:国家自然科学基金资助项目(50774092);湖南省科技计划项目(2011SK3128);湖南省高等学校科学研究项目(13C104)~~
摘 要:为了对预应力锚索失效风险分级,利用逼近于理想TOPSIS的方法,选取岩石单轴抗压强度、外锚结构合理度、锚筋实际长度与设计长度之比、灌浆饱和度、锚索腐蚀程度、预应力损失率共6项指标对待评价对象进行风险等级评价。通过计算指标分类标准和待评价对象的相对贴近度,得到风险等级标准的相对接近度范围并对待评价对象进行风险等级评价。将评价结果与神经网络预测结果进行对比,利用灰色关联理论计算各评价指标与风险评价结果的关联性,并用形式概念分析(FCA)对指标进行核属性搜索,找出风险评价时必不可少的指标。研究结果表明:利用TOPSIS-FCA的方法能对预应力锚索失效风险进行评价,该评价模型对预应力锚索支护工作有一定的参考价值。In order to classify failure risk of prestressed anchorage cable, a method for order preference by similarity to ideal solution(TOPSIS) was used to conduct the risk evaluation of six indexes, i.e. uniaxial compressive strength, reasonable structure of the outer anchor, and the anchor bar ratio of actual length and design length, filling saturation, the degree of corrosion anchor and the prestressed loss rate. By calculating the relative closeness of the indexes classification standards and objects to be evaluated, the relative closeness range of risk level standards were obtained and the risk level of object was evaluated. The gray correlation theory was used to calculate correlation between each evaluation indicator and risk evaluation result, and the formal concept analysis(FCA) was used to search core attribution to find the essential indicators. The results show that TOPSIS-FCA method can evaluate the failure risk of prestressed anchorage cable, and that the evaluation model has reference value to prestressed anchorage cable support.
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