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作 者:胡启军[1] 付郁桐 刘明 何乐平[1] 陈原 HU Qijun;FU Yutong;LIU Ming;HE Leping;CHEN Yuan(School of Civil Engineering and Architecture,Southwest Petroleum University,Chengdu 610500,China;Luzhou City Housing Construction Bureau,Luzhou 646000,China)
机构地区:[1]西南石油大学土木与建筑学院,成都610500 [2]泸州市泸县住建局,四川泸州646000
出 处:《工业建筑》2018年第8期92-97,110,共7页Industrial Construction
基 金:国家自然科学基金项目(51574201);国家安全生产监督管理总局(sichuan-0006-2016AQ);西南石油大学青年科技创新团队(2015CXTD05)
摘 要:在大型工程的施工和设计中,常采用多方法测定岩体力学参数值,而岩体力学参数的取值问题受到结构面、裂隙、地下水、地应力等不确定因素的影响。为定量考虑多因素、多方法对参数值取值的影响,提出了一种岩体力学参数设计值的多属性综合取值法。首先根据多属性决策思想,建立一个评价各因素、各方法对参数值影响程度的评价体系。然后通过分析各因素、各方法建立其对参数值影响程度的评分标准。再利用专家打分、层次分析法将评分值转化为各方法综合权重。最后将各方法综合权重与各方法所得参数值加权,得到岩体力学参数设计值。将多属性综合取值法结合文献实例进行计算,验证了多属性综合取值法是一种可定量考虑多因素、多方法对参数值影响的岩体力学参数设计值取值法。In the process of construction and designing of large-scale engineering,many methods are used to determine mechanical parameters of rock mass,and the estimation of these parameters is always affected by such uncertainties as structural plane,fissures,groundwater,in-situ stress,and ect. In order to study the influence of multi-factors and multi-methods on mechanical parameters of rock mass in a quantitative way,a multi-attribute comprehensive method for designing value of rock mechanical parameters was hereby proposed. Firstly,according to the multi-attribute decision-making idea,an evaluation system was established to appraise the effect caused by various factors and methods on parameter value. Then the paper developed scoring criteria to evaluate the degree of influence by analyzing different factors and methods. Thirdly,the scoring values were transformed for integrated weight under the evaluation of expert scoring and analytic hierarchy process. The design values of rock mechanical parameters were eventually obtained by integrated weight of methods and weighting of values from different method. The multi-attribute comprehensive method,combined with relevant literatuses,was calculated and proved to be a method for parameter design value of rock mass mechanical with the consideration in a quantitative way of various factors and methods.
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