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On-line Access: 2021-03-10

Received: 2020-06-02

Revision Accepted: 2020-09-28

Crosschecked: 2021-02-20

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Citations:  Bibtex RefMan EndNote GB/T7714


Wen Ren


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Journal of Zhejiang University SCIENCE A 2021 Vol.22 No.3 P.195-206


Probabilistic collapse analysis of steel frame structures exposed to fire scenarios

Author(s):  Wen Ren, Jin-cheng Zhao

Affiliation(s):  Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   rpfrfb@sjtu.edu.cn

Key Words:  Steel frame, Probabilistic collapse analysis, Compartment fire, Monte Carlo method, Fragility curve

Wen Ren, Jin-cheng Zhao. Probabilistic collapse analysis of steel frame structures exposed to fire scenarios[J]. Journal of Zhejiang University Science A, 2021, 22(3): 195-206.

@article{title="Probabilistic collapse analysis of steel frame structures exposed to fire scenarios",
author="Wen Ren, Jin-cheng Zhao",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Probabilistic collapse analysis of steel frame structures exposed to fire scenarios
%A Wen Ren
%A Jin-cheng Zhao
%J Journal of Zhejiang University SCIENCE A
%V 22
%N 3
%P 195-206
%@ 1673-565X
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2000251

T1 - Probabilistic collapse analysis of steel frame structures exposed to fire scenarios
A1 - Wen Ren
A1 - Jin-cheng Zhao
J0 - Journal of Zhejiang University Science A
VL - 22
IS - 3
SP - 195
EP - 206
%@ 1673-565X
Y1 - 2021
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A2000251

In this paper, we propose a probabilistic method for analysing the collapse time of steel frame structures in a fire. The method considers the uncertainty of influencing factors. Tornado diagrams are used for sensitivity analysis of random variables. Structural analysis samples are selected by monte Carlo method, and the collapse times of different structural samples are calculated by fire time history analysis. A collapse time fragility curve is fitted according to the calculated collapse times of the samples. A reliability index of the collapse time is used as a quantitative standard to evaluate the collapse performance of a steel frame in a fire. Finally, this method is applied to analyse the collapse time fragility of an eight-storey 3D steel frame structure under different compartment fire scenarios and fire protection levels. According to the collapse time fragility curve, the effects of the different fire scenarios and protection levels on the collapse resistance of the structure under fire are evaluated.


目的:1. 研究结构设计参数的不确定性对火灾场景下钢框架结构倒塌性能的影响;2. 研究室内火灾发生位置对钢框架结构抗倒塌性能的影响;3. 研究室内火灾下钢框架结构倒塌时间的可靠指标,并将其用于火灾下钢框架结构抗倒塌设计.
创新点:1. 通过蒙特卡罗法和易损性分析方法,提出了火灾下钢框架结构倒塌概率分析方法;2. 采用结构倒塌时间的可靠指标对火灾下钢框架结构的倒塌性能进行了定量分析.
方法:1. 通过绘制火灾下钢框架结构倒塌时间龙卷风图,分析结构设计参数的不确定性对钢框架结构火灾下倒塌时间的影响;2. 根据结构易损性分析方法,通过蒙特卡罗法抽取分析样本,并采用样本倒塌时间拟合钢框架结构倒塌时间易损性曲线;3. 通过结构倒塌时间易损性曲线得到结构倒塌时间的可靠指标,并根据倒塌时间的可靠指标定量分析室内火灾下钢框架结构的抗倒塌性能.
结论:1. 钢材屈服强度和钢柱防火保护对火灾下钢框架结构的倒塌时间影响最大;2. 角部房间以及短跨边房间发生火灾时,钢框架结构更容易发生倒塌;3. 通过计算火灾下钢框架结构倒塌时间的可靠指标,可以定量评估火灾下钢框架结构的抗倒塌性能.


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[1]Agarwal A, Varma AH, 2014. Fire induced progressive collapse of steel building structures: the role of interior gravity columns. Engineering Structures, 58:129-140.

[2]BS (British Steel), 1999. The Behaviour of Multi-storey Steel Framed Buildings in Fire. BS, Swinden Technology Centre, Rotherham, UK.

[3]CEN (European Committee for Standardization), 2002. Eurocode 1: Actions on Structures—Part 1.2: General Actions—Actions on Structures Exposed to Fire, EN 1991-1-2-2002. CEN, Brussels, Belgium.

[4]CEN (European Committee for Standardization), 2004. Eurocode 2: Design of Concrete Structures—Part 1.2: General Rules—Structural Fire Design, EN 1992-1-2-2004. CEN, Brussels, Belgium.

[5]CEN (European Committee for Standardization), 2005. Eurocode 3: Design of Steel Structures—Part 1.2: General Rules—Structural Fire Design, EN 1993-1-2-2005. CEN, Brussels, Belgium.

[6]Chen J, Jin WL, 2008. Behaviour of cold-formed stainless steel beams at elevated temperatures. Journal of Zhejiang University-SCIENCE A, 9(11):1507-1513.

[7]Chen SC, Zhang Y, Yan WM, et al., 2016. Experimental study and analysis on the collapse behavior of an interior column in a steel structure under local fire. Advances in Structural Engineering, 19(2):173-186.

[8]Ding Y, Song XR, Zhu HT, 2017. Probabilistic progressive collapse analysis of steel-concrete composite floor systems. Journal of Constructional Steel Research, 129:129-140.

[9]Dwaikat MMS, Kodur VKR, Quiel SE, et al., 2011. Experimental behavior of steel beam-columns subjected to fire-induced thermal gradients. Journal of Constructional Steel Research, 67(1):30-38.

[10]Gernay T, Khorasani NE, Garlock M, 2019. Fire fragility functions for steel frame buildings: sensitivity analysis and reliability framework. Fire Technology, 55(4):1175-1210.

[11]GSA (General Services Administration), 2003. Progressive Collapse Analysis and Design Guidelines for New Federal Office Buildings and Major Modernization Projects. GSA, USA.

[12]Guo QR, Jeffers AE, 2015. Finite-element reliability analysis of structures subjected to fire. Journal of Structural Engineering, 141(4):04014129.

[13]Huang ZH, Burgess IW, Plank RJ, 2003. Modeling membrane action of concrete slabs in composite buildings in fire. I: theoretical development. Journal of Structural Engineering, 129(8):1093-1102.

[14]ISO (International Organization for Standardization), 1999. Fire-resistance Tests—Elements of Building Construction —Part 1: General Requirements, ISO 834-1:1999. International Organization for Standardization, Geneva, Switzerland.

[15]Jiang BH, Li GQ, Li LL, et al., 2018. Experimental studies on progressive collapse resistance of steel moment frames under localized furnace loading. Journal of Structural Engineering, 144(2):04017190.

[16]Jiang J, Usmani A, 2013. Modeling of steel frame structures in fire using OpenSees. Computers & Structures, 118:90-99.

[17]Jiang J, Li GQ, 2017a. Disproportionate collapse of 3D steel-framed structures exposed to various compartment fires. Journal of Constructional Steel Research, 138:594-607.

[18]Jiang J, Li GQ, 2017b. Progressive collapse analysis of 3D steel frames with concrete slabs exposed to localized fire. Engineering Structures, 149:21-34.

[19]Kodur V, Dwaikat M, Fike R, 2010. High-temperature properties of steel for fire resistance modeling of structures. Journal of Materials in Civil Engineering, 22(5):423-434.

[20]Kumar A, Matsagar V, 2018. Blast fragility and sensitivity analyses of steel moment frames with plan irregularities. International Journal of Steel Structures, 18(5):1684-1698.

[21]Lange D, Devaney S, Usmani A, 2014. An application of the PEER performance based earthquake engineering framework to structures in fire. Engineering Structures, 66:100-115.

[22]Porter K, Kennedy R, Bachman R, 2007. Creating fragility functions for performance-based earthquake engineering. Earthquake Spectra, 23(2):471-489.

[23]Quan G, Huang SS, Burgess I, 2017. The behaviour and effects of beam-end buckling in fire using a component-based method. Engineering Structures, 139:15-30.

[24]Ren W, 2020. Behaviour of steel frames exposed to different fire spread scenarios. International Journal of Steel Structures, 20(2):636-654.

[25]Shrivastava M, Abu A, Dhakal R, et al., 2019. State-of-the-art of probabilistic performance based structural fire engineering. Journal of Structural Fire Engineering, 10(2):175-192.

[26]Sun RR, Huang ZH, Burgess IW, 2012. Progressive collapse analysis of steel structures under fire conditions. Engineering Structures, 34:400-413.

[27]Wang YC, 2000. An analysis of the global structural behaviour of the Cardington steel-framed building during the two BRE fire tests. Engineering Structures, 22(5):401-412.

[28]Wiśniewski DF, Cruz PJS, Henriques AAR, et al., 2012. Probabilistic models for mechanical properties of concrete, reinforcing steel and pre-stressing steel. Structure and Infrastructure Engineering, 8(2):111-123.

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