Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139481
Title: Nonlinear parameter identification of timber-concrete composite beams using long-gauge fiber optic sensors
Authors: Hong, Wan
Jiang, Yuchen
Li, Bing
Qin, Zheng
Hu, Xiamin
Keywords: Engineering::Civil engineering
Issue Date: 2018
Source: Hong, W., Jiang, Y., Li, B., Qin, Z., & Hu, X. (2018). Nonlinear parameter identification of timber-concrete composite beams using long-Gauge fiber optic sensors. Construction and Building Materials, 164, 217-227. doi:10.1016/j.conbuildmat.2017.12.211
Journal: Construction and Building Materials
Abstract: A novel method for nonlinear parameter identification of partially composite beams using long-gauge strain responses is proposed in this paper. Firstly, theoretical analysis shows that neutral axis position of timber beam and concrete slab can be estimated by measured long-gauge strain and material properties. Then, distribution of curvature, bending stiffness, deflection and interface slip can be determined by identified neutral axis position. Secondly, timber-concrete composite beams connected by ductile connectors with different degree of composite action are designed to verify the presented method. Experimental results show that the estimated parameters (neutral axis position, bending stiffness and interface slip) can clearly reflect and quantify the deterioration process of partially composite beams. Meanwhile, both global and local responses can be predicted by long-gauge strain sensors. The predicted responses (deflection at mid-span and strain along the beam height) agree well with the test results when partially composite action is considered, the errors will be unacceptable without considering partially composite action. Hence, the presented method can be utilized for better understanding of mechanical properties of partially composite beams and performance assessment of existing composite structures.
URI: https://hdl.handle.net/10356/139481
ISSN: 0950-0618
DOI: 10.1016/j.conbuildmat.2017.12.211
Schools: School of Civil and Environmental Engineering 
Rights: © 2017 Elsevier Ltd. All rights reserved. This paper was published in Construction and Building Materials and is made available with permission of Elsevier Ltd.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

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