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Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

Postal Subscription Code 80-968

2018 Impact Factor: 1.272

Front Struc Civil Eng    2014, Vol. 8 Issue (1) : 26-35    https://doi.org/10.1007/s11709-014-0239-9
RESEARCH ARTICLE
An approach for evaluating fire resistance of high strength Q460 steel columns
Wei-Yong WANG1, Guo-Qiang LI2(), Bao-lin YU3
1. School of Civil Engineering, Chongqing University, Chongqing 400045, China; 2. State Key Laboratory for Disaster Reduction in Civil Engineering, School of Civil Engineering, Tongji University, Shanghai ??200092, China; 3. Department of Civil and Environmental Engineering, Michigan State University, East Lansing MI 48824, USA
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Abstract

To develop a methodology for evaluating fire resistance of high strength Q460 steel columns, the load bearing capacity of high strength Q460 steel columns is investigated. The current approach of evaluating load bearing capacity of mild steel columns at room temperature is extended to high strength Q460 steel columns with due consideration to high temperature properties of high strength Q460 steel. The critical temperature of high strength Q460 steel column is presented and compared with mild steel columns. The proposed approach was validated by comparing the predicted load capacity with that evaluated through finite element analysis and test results. In addition, parametric studies were carried out by employing the proposed approach to study the effect of residual stress and geometrical imperfections. Results from parametric studies show that, only for a long column (slenderness higher than 75), the magnitude and distribution mode of residual stress have little influence on ultimate load bearing capacity of high strength Q460 steel columns, but the geometrical imperfections have significant influence on any columns. At a certain slenderness ratio, the stability factor first decreases and then increases with temperature rise.

Keywords high strength Q460 steel      load bearing capacity      temperature     
Corresponding Author(s): LI Guo-Qiang,Email:gqli@tongji.edu.cn   
Issue Date: 05 March 2014
 Cite this article:   
Wei-Yong WANG,Guo-Qiang LI,Bao-lin YU. An approach for evaluating fire resistance of high strength Q460 steel columns[J]. Front Struc Civil Eng, 2014, 8(1): 26-35.
 URL:  
https://academic.hep.com.cn/fsce/EN/10.1007/s11709-014-0239-9
https://academic.hep.com.cn/fsce/EN/Y2014/V8/I1/26
T/°Cfy,TETfy,T/fyET/E
20503209.71.001.00
100442206.00.880.98
200539201.21.070.96
250198.10.94
300575194.61.140.93
350190.90.91
400518185.51.030.88
450532180.71.060.86
500430175.40.850.84
550374169.70.740.81
600367160.20.730.76
700182133.40.360.64
80089100.70.180.48
Tab.1  Yield strength and elastic modulus of Q460 steel at elevated temperatures
Fig.1  Comparison of reduction factors using the proposed equation with test results
Fig.2  Test results comparison of yield strength for different steels
Fig.3  Test results comparison of elastic modulus for different steels
T/°Cslenderness ratio
10305075100125150175200225250
200.9880.8850.7380.5050.3300.2250.1620.1220.0950.0760.062
1000.9880.8870.7450.5200.3440.2360.1700.1280.1000.0800.065
2000.9880.8830.7250.4790.3070.2080.1490.1120.0870.0690.057
3000.9880.8790.7050.4460.2790.1880.1340.1000.0780.0620.050
4000.9880.8790.7050.4440.2780.1870.1330.1000.0770.0620.050
5000.9880.8820.7210.4720.3010.2040.1460.1090.0850.0680.055
6000.9880.8860.7430.5160.3400.2330.1680.1260.0980.0790.064
7000.9880.8890.7600.5540.3780.2630.1920.1450.1130.0910.074
8000.9880.8920.7720.5820.4090.2900.2130.1620.1270.1020.084
Tab.2  Stable factor of Q460 steel columns at room and elevated temperatures
Fig.4  Curves of stable factor of high strength Q460 steel column. (a) Relationship of stable factor and temperature; (b) Relationship of stable factor and slenderness ratio
Fig.5  Variation of elastic modulus to yield strength ratio with temperature
Fig.6  Flowchart of inverse calculation segment length method
Fig.7  Comparison of critical stress method and numerical method
Fig.8  Relationship of critical temperature with slenderness ratio at different load ratios
Fig.9  Relationship of critical temperature with load ratio at different slenderness ratios
Fig.10  Distribution mode of initial residual stress. (a) Mode 1-triangle distribution; (b) mode 2-rectangle distribution
Fig.11  The influence of residual stress value on the stable factor at distribution mode 1. (a) Around strong axis; (b) around weak axis
Fig.12  The influence of residual stress value on the stable factor at distribution mode 2. (a) Around strong axis; (b) around weak axis
Fig.13  The influence of residual stress mode on the stable factor. (a) Around strong axis; (b) around weak axis
Fig.14  Influence of initial flexure on the stable factor. (a) Around strong axis; (b) around weak axis
specimen no.slenderness ratiostable factorratio of analysis to testaverage
test resultsanalytical results
S-182.50.4490.4440.990.93
S-281.90.4960.4490.91
S-356.20.7650.6820.89
S-4560.7080.6840.97
S-541.50.8810.8090.92
S-641.60.8690.8080.93
Tab.3  Comparison of experimental results and analytical result
Fig.15  global stability analysis results for high strength Q460 steels. (a) Stress distribution (600°C); (b) load-displacement curve (300°C)
Fig.16  Comparison of FEM and critical stress method
1 Bjorhovde R. Development and use of high performance steel. Journal of Constructional Steel Research , 2004, 60(3-5): 393-400
2 Gir?o Coelho A M, Bijlaard F S K. Experimental behaviour of high strength steel end-plate connections Journal of Constructional Steel Research , 2007, 63(9): 1228-1240
3 Rasmussen K J R, Hancock G J. Plate slenderness limits for high strength steel sections. Journal of Constructional Steel Research , 1992, 23(1-3): 73-96
4 Rasmussen K J R, Hancock G J. Tests of high strength steel columns. Journal of Constructional Steel Research , 1995, 34(1): 27-52
5 Chen J, Young B, Uy B. Behaviour of high strength structural steel at elevated temperatures. Journal of Structural Engineering , 2006, 132(12): 1948-1954
6 Chen J, Young B. Design of HSS columns at elevated temperatures. Journal of Constructional Steel Research , 2008, 64(6): 689-703
7 Li G Q, Zhang X J. Experimental studies of the material properties of SM41 steel at elevated temperatures. Industrial Construction , 2001, 31(16): 57-59 (in Chinese)
8 Tan W.Experiments and research of steel material properties at elevated temperature. Industrial Construction , 2000, 30 (10): 61-63 , 67 (in Chinese)
9 Li G Q, Han L H, Lou G B, Jiang S C. Fire resistance design of steel structure and composite steel and concrete structure. Beijing: Chinese Architecture and Building Press, 2006 (in Chinese)
10 Chen W F, Atsuta T.Theory of Beam-Columns, Volume 1: In-Plane Behaviour and Design. J Ross Publishing Classics , 1976
11 Li K X, Xu W M. An improvement on “the inverse calculation segment length method”. Journal of Chongqing Institute of Architecture and Engineering , 1989, 11(3): 37-43 (in Chinese)
12 Eurocode 3: Design of Steel Structures–Part 1.2: General Rules–Structural Fire Design. European committee for standardization, BS EN1993–1–2 :2005
13 Huber A W, Beedle L S. Residual stress and the compressive strength of steel. Welding Journal , 1954, 33(12) Research suppl, 589-s
14 Chen J.Stability of Steel Structures-Theory and Design. Beijing: Science press of China, 2003 (In Chinese)
15 Wang Y B, Li G Q, Chen S W, Sun F F. Experimental study on the ultimate bearing capacity of axially compressed high strength steel of H-section columns. Journal of Civil Engineering , 2012, 45(6): 58-64 (in Chinese)
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