ANALYSIS OF FLEXUAL BEARING CAPACITY OF PRESTRESSED NEW STEEL BOX CONCRETE COMPOSITE BEAM

Zhou Chunli

doi:10.13204/j.gyjz201403030

Volume 44 Issue 03

Jul. 2015

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > INDUSTRIAL CONSTRUCTION > 2014 > 44(03): 150-157

Xie Qiang, Zhao Liang. DAMAGE IDENTIFICATION OF FRAME STRUCTURES BASED ON MODAL SENSITIVITY ANALYSIS——NUMERICAL SIMULATION AND TEST VERIFICATION[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(12): 94-96. doi: 10.13204/j.gyjz200512026

Citation:

Zhou Chunli. ANALYSIS OF FLEXUAL BEARING CAPACITY OF PRESTRESSED NEW STEEL BOX CONCRETE COMPOSITE BEAM[J]. INDUSTRIAL CONSTRUCTION, 2014, 44(03): 150-157. doi: 10.13204/j.gyjz201403030

Citation:

Zhou Chunli. ANALYSIS OF FLEXUAL BEARING CAPACITY OF PRESTRESSED NEW STEEL BOX CONCRETE COMPOSITE BEAM[J]. INDUSTRIAL CONSTRUCTION, 2014, 44(03): 150-157. doi: 10.13204/j.gyjz201403030

PDF( 0 KB)

ANALYSIS OF FLEXUAL BEARING CAPACITY OF PRESTRESSED NEW STEEL BOX CONCRETE COMPOSITE BEAM

doi: 10.13204/j.gyjz201403030

Zhou Chunli

Publish Date: 2014-03-20

Abstract

Abstract

A new type of prestressed steel box-concrete composite beam is proposed，whose advantages and applicability were analysed，the formula of ultimate capacity and the fiber model method of the structure were researched as well． Through the theoretical calculation and experiment analysis of the ultimate bearing capacity of the beam，furthermore，it was compared the beams of 3 different spans with other types of beams，the influential parameters on the ultimate capacity such as the thickness of steel sheet，the grade of concrete，the number of steel strand，the location of separator etc． were researched，which demonstrate that the longer the span，the advantage of this composite beam in ultimate capacity and deflection． As a result，it was suggested that the proposed prestressed steel box-concrete composite beam should be used in the house and bridge structure whose span is longer than 12 m．
- prestress,
- steel box-concrete composite beam,
- ultimate capacity,
- deflection,
- fiber model method,
- test analysis

FullText(HTML)

References(0)

References

Relative Articles

[1]	WANG Wei, MI Qingren, XIAO Yun, YANG Xincong. Research on the Detection Method of Hollowing and Missing for Building Exterior Walls Based on Visible and Infrared Image Fusion[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 51-59. doi: 10.13204/j.gyjzG22112305
[2]	JIN Nan, WU Yongjingbang, SHI Zhongqi, YUE Qingrui, ZHENG Zexing. Research on Methods for Detection and Localization of Color Steel Tile Buildings[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(2): 58-64. doi: 10.3724/j.gyjzG23120810
[3]	ZHANG Haoyu, DING Yong, LI Denghua. A Structural Surface Crack Detection Method Based on 3D Reconstruction[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 60-67. doi: 10.13204/j.gyjzG22102611
[4]	FAN Cunjun, JIN Songyan, JIN Nan, SHI Zhongqi, WU Yongjingbang, HAO Xintian. Crack Recognition and Quantitative Analysis Based on Deep Learning[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(8): 126-132. doi: 10.3724/j.gyjzG24061802
[5]	YANG Yinqiang, KANG Shuai, WANG Zifa, HE Zhongying, TENG Hui. Research on Damage Identification for Steel Frames Based on Convolutional Autoencoder and Correlation Function[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(11): 78-86. doi: 10.3724/j.gyjzG23102311
[6]	FAN Lijun. Identification of Crack in Concrete Structures Based on MobileNetV2 of Lightweight Convolutional Network[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(7): 231-236. doi: 10.13204/j.gyjzG23021618
[7]	LI Shujin, XIONG Shuqi, FAN Peiran, WANG Gang. Application Research on Deep Convolutional Neural Network Considering Residual Learning in Structural Damage Identification[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(7): 192-198. doi: 10.13204/j.gyjzg21101009
[8]	LI Rui, ZHANG Chun. RESEARCH ON STRUCTURAL DAMAGE DETECTION METHOD BASED ON ONE-DIMENSIONAL DILATED CONVOLUTION NEURAL NETWORK[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(10): 177-183. doi: 10.13204/j.gyjzg20103011
[9]	ZHOU Yiyi, WANG Jin, LI Jiannan, JIAN Huicheng, ZHOU Qiang, HU Jiayi. STRUCTURAL LAYOUT AND SEISMIC ANALYSIS OF THE SPHERICAL EXHIBITION CENTER IN SUZHOU HIGH SPEED RAILWAY NEW CITY[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(4): 204-212. doi: 10.13204/j.gyjzG20102206
[10]	HU Weibing, YANG Jia, WANG Long, HOU Yanfang. STUDY ON DAMAGE DETECTION AND QUANTIFICATION OF ANCIENT BUILDING TIMBER STRUCTURES BASED ON LAMINATION THEORY AND BP NEURAL NETWORKS[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(11): 71-77,111. doi: 10.13204/j.gyjzG20020501
[11]	Guo Man-liang, Huang Chao-jie, Ling Jiang, Xiao Ming. INTRODUCTION TO PROPOSALS FOR INTERNATIONAL DESIGN COMPETITION FOR SHENZHEN UNIVERSIDE SPORTS CENTRE[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(10): 113-119,82. doi: 10.13204/j.gyjz201210024
[12]	Chen Zhihua, Weng Kai, Liu Hongbo, Yan Renzhang, Bu Yidu. THE RESEARCH STATUS AND ENGINEERING APPLICATION OF STAINLESS STEEL ON SPACE GRID STRUCTURE[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(5): 55-62,54. doi: 10.13204/j.gyjz2011205009
[13]	Wang Cheng Zhang Yigang Tan Zhengguang, . ANALYSIS OF LOADING PROCESS OF THE IRSSP AFFECTED BY WEB MEMBER[J]. INDUSTRIAL CONSTRUCTION, 2008, 38(11): 89-92. doi: 10.13204/j.gyjz200811022
[14]	Hong Jinxiang, Huang Wei, Miao Changwen. STUDY ON PREDICTION OF CONCRETE STRENGTH USING WAVELET NEURAL NETWORK[J]. INDUSTRIAL CONSTRUCTION, 2004, 34(7): 47-49. doi: 10.13204/j.gyjz200407013