...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Building and Environment >A novel model for risk assessment of adjacent buildings in tunneling environments
【24h】

A novel model for risk assessment of adjacent buildings in tunneling environments

机译：隧道环境中相邻建筑物风险评估的新模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents a novel model to assess the risk of adjacent buildings in tunneling environments based on Extended Cloud Model (ECM). ECM is an organic integration of Extension Theory (ET) and Cloud Model (CM), where ET is appropriately employed to flexibly expand the variable range from [0, 1 ] to (-∞, +∞), and CM is used to overcome the uncertainty of fuzziness and randomness during the gradation of evaluation factors. An integrated interval recognition approach to determine the boundary of risk related intervals is presented, with both actual practices and group decisions fully considered. The risk level of a specific adjacent building is assessed by the correlation to the cloud model of each risk level. A confidence indicator θ is proposed to illustrate the rationality and reliability of evaluating results. Ten buildings adjacent to Wuhan Metro Line Two (WMLT) are randomly chosen among hundreds of adjacent buildings for a case study, and the results have proved to be consistent with the actual situation. Compared with other traditional evaluation methods, ECM has been verified to be a more competitive solution with no demands on training data. The original data can be directly entered into ECM without a normalization procedure, avoiding the potential information loss. ECM can be offered as a decision support tool for the risk assessment in urban tunneling construction and worth popularizing in other similar projects.
机译：本文提出了一种基于扩展云模型（ECM）的隧道环境中评估相邻建筑物风险的新颖模型。 ECM是扩展理论（ET）和云模型（CM）的有机结合，其中ET被适当地用来灵活地将变量范围从[0，1]扩展到（-∞，+∞），而CM被用来克服评价因素分级过程中模糊性和随机性的不确定性。提出了一种综合的区间识别方法来确定与风险相关的区间的边界，同时充分考虑了实际做法和小组决策。通过与每个风险级别的云模型的相关性来评估特定相邻建筑物的风险级别。建议使用置信度指标θ来说明评估结果的合理性和可靠性。从武汉地铁二号线（WMLT）附近的十座建筑物中随机选择数百座进行案例研究，结果与实际情况相吻合。与其他传统评估方法相比，ECM已被证明是一种更具竞争力的解决方案，不需要培训数据。原始数据可以直接输入ECM，而无需进行标准化过程，从而避免了潜在的信息丢失。 ECM可作为城市隧道建设中风险评估的决策支持工具，值得在其他类似项目中推广。

著录项

  • 来源
    《Building and Environment》 |2013年第7期|185-194|共10页
  • 作者

    Limao Zhang; Xianguo Wu; Lieyun Ding; Miroslaw J. Skibniewski;

  • 作者单位

    School of Civil Engineering & Mechanics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China ,Department of Civil & Environmental Engineering, University of Maryland, College Park, MD 20742-3021, USA;

    School of Civil Engineering & Mechanics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;

    School of Civil Engineering & Mechanics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;

    Department of Civil & Environmental Engineering, University of Maryland, College Park, MD 20742-3021, USA ,Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Baltycka 5, 44-100 Gliwice, Poland;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Extension Theory; Cloud Model; Risk assessment; Adjacent buildings; Complex environments;

    机译：外延理论;云模型;风险评估;相邻建筑物;复杂的环境;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号