检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]中国矿业大学(北京)地球科学与测绘工程学院,北京100083 [2]中国矿业大学(北京)煤炭资源与安全开采国家重点实验室,北京100083
出 处:《煤炭学报》2015年第8期1718-1728,共11页Journal of China Coal Society
基 金:国家自然科学基金资助项目(51474217)
摘 要:针对建筑物采动损害评价研究的迫切性,分析了国内外建筑物损害临界变形值确定和损坏等级划分研究现状,归纳给出了基于模糊数学、物元模型、神经网络、聚类分析、熵权法、点数法等理论开展损害评价的优缺点;详细介绍了国际上采动建筑物损害评价的新进展——脆弱性曲线、分类回归树方法。最新研究表明,基于建筑物分类和计算机辅助分析有助于提高建筑物采动损害评价的准确性,克服评价因子的不确定性影响;进而提出了未来急需开展的研究工作和待解决的问题。To meet the urgency and necessary of mining induced building damage estimation in practice,the present situation of the determination of critical deformation and damage classification to building was analyzed. The advantages and shortcomings were investigated for the building damage assessment based on the fuzzy mathematics,matter element,neural network,entropy weight,fuzzy clustering and point method. The new progresses in the assessment of mining induced building damage,such as vulnerability curve,classification and regression tree,were introduced in detail.The study results reveal that it is helpful to improve the accuracy of building damage assessment based on building typology and computer aided analysis. The influences of uncertainty from estimating factor may be further avoided in the process of damage assessment. The areas for further study in the future are proposed.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.188