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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/6698
Title: NN-based damage detection in multi-storey buildings from modal parameter changes
Authors: Vinayak H.K.
Kumar A.
Agarwal P.
Thakkar S.K.
Published in: ISET Journal of Earthquake Technology
Abstract: To determine the relative status of the damaged floors of a building after an earthquake by using modal characteristics of the building, instrumentation of the building is not required throughout its lifetime. In this paper, the accuracy of neural networks trained with fractional frequency and mode shape changes, as obtained from the combinations of three, four and five damage levels of different storeys of the building, is evaluated. The networks trained with a combination of three damage levels are found to be incapable of giving acceptable results in the case of four- and eight-storey buildings considered. However, for the four-storey building, the networks trained with four damage levels predict good results and the networks trained with five damage levels predict excellent results. For the eight-storied building, the networks trained with four damage levels give acceptable results for storey level damage. Further, the accuracy of damage severity is found to decrease with an increase in the number of building storeys.
Citation: ISET Journal of Earthquake Technology (2012), 49(43862): 23-35
URI: http://repository.iitr.ac.in/handle/123456789/6698
Issue Date: 2012
Publisher: Indian Society of Earthquake Technology
Keywords: Damage detection
Frequency
Mode shape
Neural network
Stiffness
ISSN: 9720405
Author Scopus IDs: 35333033400
57203774508
7202300690
7005699962
Author Affiliations: Vinayak, H.K., Department of Civil Engineering, National Institute of Technology Hamirpur, Hamirpur, 177005, India
Kumar, A., Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Agarwal, P., Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Thakkar, S.K., Department of Earthquake Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Appears in Collections:Journal Publications [EQ]

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