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(1 北京市建筑工程研究院有限責(zé)任公司, 北京 100039;2 中國建筑標(biāo)準(zhǔn)設(shè)計(jì)研究院有限公司, 北京 100044)
[摘要]倒塌結(jié)構(gòu)的檢測鑒定具有現(xiàn)場情況復(fù)雜、關(guān)鍵性取樣困難和試樣有限、結(jié)構(gòu)變形和損傷的時(shí)序性和分類不易確定等特點(diǎn),常規(guī)的結(jié)構(gòu)檢測鑒定方法難以有效解決倒塌結(jié)構(gòu)檢測鑒定中所遇到的問題。以故障樹分析理論為基礎(chǔ),針對倒塌結(jié)構(gòu)檢測鑒定工程的特點(diǎn),建立了倒塌結(jié)構(gòu)檢測鑒定故障樹模型,提出和制定了倒塌結(jié)構(gòu)的檢測鑒定方法和流程。以某倒塌結(jié)構(gòu)的檢測鑒定為例,對所提出的檢測鑒定方法和流程進(jìn)行了分析和應(yīng)用,以期為倒塌結(jié)構(gòu)的檢測鑒定提供方法論和實(shí)踐意義上的參考。
[關(guān)鍵詞]倒塌結(jié)構(gòu); 故障樹分析; 檢測鑒定
中圖分類號:TU398-9文獻(xiàn)標(biāo)識碼:A文章編號:1002-848X(2021)02-0097-06
Research and case analysis on detection and identification method of collapsed structure
GUO Junping1, LU Qiaozhi2, ZUO Yongzhi2
(1 Beijing Building Construction Research Institute Co., Ltd., Beijing 100039, China;2 China Institute of Building Standard Design & Research Co., Ltd., Beijing 100044, China)
Abstract:The detection and identification of collapsed structures has the characteristics of complex site conditions, critical sampling difficulties, limited samples, and the difficulty for determining the timing and classification of structural deformation and damage. Conventional structure detection and identification methods cannot effectively solve the problems encountered in the detection and identification of collapsed structures. Based on the theory of fault tree analysis and according to the characteristics of the collapsed structure detection and identification project, a fault tree model for the collapsed structure detection and identification was established, and the methods and procedures of the collapsed structure detection and identification were proposed and formulated. Taking the detection and identification of a collapsed structure as an example, the proposed detection and identification methods and procedures were analyzed and applied, hoping to provide a methodological and practical reference for the detection and identification of collapsed structures.
Keywords:collapsed structure; fault tree analysis; detection and identification
作者簡介:郭俊平,博士,高級工程師,Email: junping_g@163.com。
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