University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Optimal sensor placement strategy for the identification of local bolted connection failures in steel structures

Biswal, S. and Wang, Y. (2019) Optimal sensor placement strategy for the identification of local bolted connection failures in steel structures In: International Conference on Smart Infrastructure and Construction (ICSIC 2019), 08-10 Jul 2019, Churchill College, Cambridge, UK.

[img]
Preview
Text
Optimal sensor placement strategy for the identification of local bolted connection failures in steel structures.pdf - Accepted version Manuscript

Download (782kB) | Preview

Abstract

Failure of bolted connections in steel structures may result in catastrophic effects. Many algorithms in existing literature use modal information of a structure to identify damage in that structure, based on the data acquired from accelerometers which record the vibration time histories at different points on the structure. The location of these points may have significant effects on the quality of the acquired data, and thus the identified modal information. In this paper, a distance measure based Markov chain Monte Carlo algorithm is proposed to determine the optimal locations for the accelerometers, and the optimal location of the impact hammer if need. Different damage cases with various combinations of bolt failures are considered in this study. Failures at various levels are simulated by loosening the bolts in a predefined order. To compare the efficiency of the proposed method, the total effect of various damage cases on the accelerations at the optimal locations are calculated for the proposed method and a state-of-the-art method from the existing literature. The results demonstrate the efficiency of the proposed strategy in locating the accelerometers, which can produce data that are more sensitive to the bolted connection failures.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
NameEmailORCID
Biswal, S.s.biswal@surrey.ac.uk
Wang, Y.ying.wang@surrey.ac.uk
Date : 8 July 2019
Funders : Engineering and Physical Sciences Research Council (EPSRC)
Copyright Disclaimer : © the authors 2019.
Related URLs :
Depositing User : Clive Harris
Date Deposited : 08 May 2019 14:15
Last Modified : 08 Jul 2019 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/851763

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800