Simultaneous Identification of Moving Vehicles and Bridge Damages Considering Road Rough Surface
A method for the simultaneous identification of moving vehicles and the damages of the supporting structure from measured responses is presented. A two-axle vehicle model with two degrees of freedom (DOF) is adopted. The extent of the damage and the vehicle parameters were chosen as the optimisation...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/963424 |
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doaj-9ef9a25e667447caab7cda7d69d44c9e2020-11-24T22:56:10ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/963424963424Simultaneous Identification of Moving Vehicles and Bridge Damages Considering Road Rough SurfaceQingxia Zhang0Łukasz Jankowski1Zhongdong Duan2College of Civil and Architecture Engineering, Dalian Nationalities University, Dalian 116650, ChinaSmart-Tech Centre, Institute of Fundamental Technological Research, Polish Academy of Sciences, 02-106 Warsaw, PolandSchool of Civil Engineering, Harbin Institute of Technology, Harbin 150090, ChinaA method for the simultaneous identification of moving vehicles and the damages of the supporting structure from measured responses is presented. A two-axle vehicle model with two degrees of freedom (DOF) is adopted. The extent of the damage and the vehicle parameters were chosen as the optimisation variables, which allow ill conditioning to be avoided and decrease the number of sensors required. The identification is performed by minimising the distance between the measured responses and the computed responses to given optimisation variables. The virtual distortion method (VDM) was used, such that the response of the damaged structure can be computed from comparison with the intact structure subjected to the same vehicle excitation and to the response-coupled virtual distortions. These are related to the optimisation variables by the system impulse response matrix and are expressed by a linear system, which allowed both types of optimisation variables to be treated in a unified way. The numerical cost is reduced by using a moving influence matrix. The adjoint variable method is used for fast sensitivity analysis. A three-span bridge numerical example is presented, where the identification was verified with 5% root mean square (RMS) measurement, and model, error whilst also considering the surface roughness of the road.http://dx.doi.org/10.1155/2013/963424 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qingxia Zhang Łukasz Jankowski Zhongdong Duan |
spellingShingle |
Qingxia Zhang Łukasz Jankowski Zhongdong Duan Simultaneous Identification of Moving Vehicles and Bridge Damages Considering Road Rough Surface Mathematical Problems in Engineering |
author_facet |
Qingxia Zhang Łukasz Jankowski Zhongdong Duan |
author_sort |
Qingxia Zhang |
title |
Simultaneous Identification of Moving Vehicles and Bridge Damages Considering Road Rough Surface |
title_short |
Simultaneous Identification of Moving Vehicles and Bridge Damages Considering Road Rough Surface |
title_full |
Simultaneous Identification of Moving Vehicles and Bridge Damages Considering Road Rough Surface |
title_fullStr |
Simultaneous Identification of Moving Vehicles and Bridge Damages Considering Road Rough Surface |
title_full_unstemmed |
Simultaneous Identification of Moving Vehicles and Bridge Damages Considering Road Rough Surface |
title_sort |
simultaneous identification of moving vehicles and bridge damages considering road rough surface |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2013-01-01 |
description |
A method for the simultaneous identification of moving vehicles and the damages of the supporting structure from measured responses is presented. A two-axle vehicle model with two degrees of freedom (DOF) is adopted. The extent of the damage and the vehicle parameters were chosen as the optimisation variables, which allow ill conditioning to be avoided and decrease the number of sensors required. The identification is performed by minimising the distance between the measured responses and the computed responses to given optimisation variables. The virtual distortion method (VDM) was used, such that the response of the damaged structure can be computed from comparison with the intact structure subjected to the same vehicle excitation and to the response-coupled virtual distortions. These are related to the optimisation variables by the system impulse response matrix and are expressed by a linear system, which allowed both types of optimisation variables to be treated in a unified way. The numerical cost is reduced by using a moving influence matrix. The adjoint variable method is used for fast sensitivity analysis. A three-span bridge numerical example is presented, where the identification was verified with 5% root mean square (RMS) measurement, and model, error whilst also considering the surface roughness of the road. |
url |
http://dx.doi.org/10.1155/2013/963424 |
work_keys_str_mv |
AT qingxiazhang simultaneousidentificationofmovingvehiclesandbridgedamagesconsideringroadroughsurface AT łukaszjankowski simultaneousidentificationofmovingvehiclesandbridgedamagesconsideringroadroughsurface AT zhongdongduan simultaneousidentificationofmovingvehiclesandbridgedamagesconsideringroadroughsurface |
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