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Structural Damage Detection in Framed Structures using Under Foundation Settlement/ Rotation of Bases

Siddesha H1, Manjunath N Hegde2

Department of Civil Engineering, Siddaganga Institute of Technology, Tumakuru-572 103, Karnataka, India
Department of Civil Engineering, Dr Ambedkar Institute of Technology, Bengaluru – 560 056, Karnataka, India

Structural Durability & Health Monitoring 2017, 11(1), 17-41. https://doi.org/10.3970/sdhm.2017.012.017

Abstract

This paper describes the damage detection in framed structures due to the vertical support settlement and rotation of footing bases. The damage detection procedure proposed by Nobahari and Seyedpoor (2013) is used to detect the damage in the members of the frame. In the present study, instead of using the flexibility matrix (referred here as original flexibility matrix) method, the generalized flexibility matrix is used in the same algorithm and the results are compared. The algorithm uses flexibility matrix and strain energy concept to detect the damage in the members. The behaviour of the frame is discussed through changes observed in flexibility in the associated degree of freedom. Finally, the results indicate that, the damage index determined by generalized flexibility matrix method is more reliable than using the original flexibility matrix based method for the problem of settlement and rotation of footing base.

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APA Style
H, S., Hegde, M.N. (2017). Structural damage detection in framed structures using under foundation settlement/ rotation of bases. Structural Durability & Health Monitoring, 11(1), 17-41. https://doi.org/10.3970/sdhm.2017.012.017
Vancouver Style
H S, Hegde MN. Structural damage detection in framed structures using under foundation settlement/ rotation of bases. Structural Durability Health Monit . 2017;11(1):17-41 https://doi.org/10.3970/sdhm.2017.012.017
IEEE Style
S. H and M.N. Hegde, “Structural Damage Detection in Framed Structures using Under Foundation Settlement/ Rotation of Bases,” Structural Durability Health Monit. , vol. 11, no. 1, pp. 17-41, 2017. https://doi.org/10.3970/sdhm.2017.012.017



cc Copyright © 2017 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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