Axial load detection in compressed steel beams using FBG-DSM sensors

被引:14
作者
Bonopera, Marco [1 ,3 ]
Chang, Kuo-Chun [2 ]
Chen, Chun-Chung [1 ]
Lee, Zheng-Kuan [1 ]
Tullini, Nerio [3 ]
机构
[1] Natl Ctr Res Earthquake Engn, Bridge Engn Div, Taipei, Taiwan
[2] Natl Taiwan Univ, Dept Civil Engn, Taipei, Taiwan
[3] Univ Ferrara, Dept Engn, Ferrara, Italy
关键词
deflected shape; FBG-DSM sensor; force identification; inverse problem; static test; steel beam; BENDING TESTS; SLENDER BEAMS; GROUND ANCHOR; FORCE; IDENTIFICATION;
D O I
10.12989/sss.2018.21.1.053
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Nondestructive testing methods are required to assess the condition of civil structures and formulate their maintenance programs. Axial force identification is required for several structural members of truss bridges, pipe racks, and space roof trusses. An accurate evaluation of in situ axial forces supports the safety assessment of the entire truss. A considerable redistribution of internal forces may indicate structural damage. In this paper, a novel compressive force identification method for prismatic members implemented using static deflections is applied to steel beams. The procedure uses the Euler Bernoulli beam model and estimates the compressive load by using the measured displacement along the beam's length. Knowledge of flexural rigidity of the member under investigation is required. In this study, the deflected shape of a compressed steel beam is subjected to an additional vertical load that was short-term measured in several laboratory tests by using fiber Bragg grating differential settlement measurement (FBG-DSM) sensors at specific cross sections along the beam's length. The accuracy of midspan deflections offered by the FBG-DSM sensors provided excellent force estimations. Compressive load detection accuracy can be improved if substantial second-order effects are induced in the tests. In conclusion, the proposed method can be successfully applied to steel beams with low slenderness under real conditions.
引用
收藏
页码:53 / 64
页数:12
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