TY - GEN
T1 - Identifying damage in a bridge by analysing rotation response to a moving load
AU - McGeown, C.
AU - Huseynov, F.
AU - O'Brien, E. J.
AU - Pakrashi, V.
AU - Hester, D.
AU - McGetrick, P.
N1 - Publisher Copyright:
© 2021 Taylor & Francis Group, London
PY - 2021
Y1 - 2021
N2 - A recent survey of Europe's highway infrastructure has concluded that almost half of Europe's bridges are nearing the end of their design live. Work in the wider Structural Health Monitoring sector is aiming to develop reliable and cost-effective methods for verifying condition, remaining service life and safety of ageing structures. Most bridge condition assessment methods are based on deflection, acceleration or strain measurements. This paper looks at the possibility of using rotation measurements as a main parameter to identify damage. This study looks at numerical analyses of a moving point load on a one-dimensional bridge model to provide the theoretical basis of the proposed damage detection method. It is shown that when local damage occurs, even when it is remote from a sensor location, it results in an increase in the magnitude of rotation measurements. This study looks at how best to exploit this fact for damage detection. In the study a number of damage scenarios, sensor locations, and load arrangements are investigated, and their influence on the ability of the algorithm to detect damage are reported.
AB - A recent survey of Europe's highway infrastructure has concluded that almost half of Europe's bridges are nearing the end of their design live. Work in the wider Structural Health Monitoring sector is aiming to develop reliable and cost-effective methods for verifying condition, remaining service life and safety of ageing structures. Most bridge condition assessment methods are based on deflection, acceleration or strain measurements. This paper looks at the possibility of using rotation measurements as a main parameter to identify damage. This study looks at numerical analyses of a moving point load on a one-dimensional bridge model to provide the theoretical basis of the proposed damage detection method. It is shown that when local damage occurs, even when it is remote from a sensor location, it results in an increase in the magnitude of rotation measurements. This study looks at how best to exploit this fact for damage detection. In the study a number of damage scenarios, sensor locations, and load arrangements are investigated, and their influence on the ability of the algorithm to detect damage are reported.
UR - https://www.scopus.com/pages/publications/85117584280
U2 - 10.1201/9780429279119-463
DO - 10.1201/9780429279119-463
M3 - Conference Publication
AN - SCOPUS:85117584280
SN - 9780367232788
T3 - Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2020
SP - 3415
EP - 3422
BT - Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2020
A2 - Yokota, Hiroshi
A2 - Frangopol, Dan M.
PB - CRC Press/Balkema
T2 - 10th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2020
Y2 - 11 April 2021 through 15 April 2021
ER -