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...

Full description

Bibliographic Details
Main Authors: Qingxia Zhang, Łukasz Jankowski, Zhongdong Duan
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/963424
id doaj-9ef9a25e667447caab7cda7d69d44c9e
record_format Article
spelling 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
_version_ 1725654638310457344