© 2017 Elsevier Ltd An innovative approach to identify local anomalies in a structural beam bridge with an instrumented vehicle moving as a sensory system across the bridge. Accelerations at both the axle and vehicle body are measured from which vehicle-bridge interaction force on the structure is determined. Local anomalies of the structure are estimated from this interaction force with the Newton's iterative method basing on the homotopy continuation method. Numerical results with the vehicle moving over simply supported or continuous beams show that the acceleration responses from the vehicle or the bridge structure are less sensitive to the local damages than the interaction force between the wheel and the structure. Effects of differen...
The 6th workshop on Civil Structural Health monitoring, Queens University Belfast, Northern Ireland,...
This paper investigates a novel method for damage detection using a moving force identification algo...
This paper presents a new moving force identification (MFI) algorithm that uses measured acceleratio...
An innovative approach to identify local anomalies in a structural beam bridge with an instrumented ...
Identifying damage of a bridge from a vehicle moving over it is an attractive idea especially for th...
This paper proposes a damage identification approach in bridge structures under moving vehicular loa...
In recent years there have been a growing number of publications on procedures for damage detection ...
Structural Health Monitoring (SHM) aims to achieve early damage detection in bridges by characterizi...
This paper presents a multi-stage multi-pass method to identify the location of damage of a continuo...
Bridge infrastructure is subject to continuous degradation due to the ageing, environmental and exce...
It is critical for the safety monitoring of highway bridges that beam bridge damage can be identifie...
The Tenth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2020), Sappo...
This is the author accepted manuscript. The final version is available from Routledge via the DOI in...
This paper presents two approaches for the structural damage identification of a bridge from the dyn...
This paper presents two approaches for the structural damage identification of a bridge from the dyn...
The 6th workshop on Civil Structural Health monitoring, Queens University Belfast, Northern Ireland,...
This paper investigates a novel method for damage detection using a moving force identification algo...
This paper presents a new moving force identification (MFI) algorithm that uses measured acceleratio...
An innovative approach to identify local anomalies in a structural beam bridge with an instrumented ...
Identifying damage of a bridge from a vehicle moving over it is an attractive idea especially for th...
This paper proposes a damage identification approach in bridge structures under moving vehicular loa...
In recent years there have been a growing number of publications on procedures for damage detection ...
Structural Health Monitoring (SHM) aims to achieve early damage detection in bridges by characterizi...
This paper presents a multi-stage multi-pass method to identify the location of damage of a continuo...
Bridge infrastructure is subject to continuous degradation due to the ageing, environmental and exce...
It is critical for the safety monitoring of highway bridges that beam bridge damage can be identifie...
The Tenth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2020), Sappo...
This is the author accepted manuscript. The final version is available from Routledge via the DOI in...
This paper presents two approaches for the structural damage identification of a bridge from the dyn...
This paper presents two approaches for the structural damage identification of a bridge from the dyn...
The 6th workshop on Civil Structural Health monitoring, Queens University Belfast, Northern Ireland,...
This paper investigates a novel method for damage detection using a moving force identification algo...
This paper presents a new moving force identification (MFI) algorithm that uses measured acceleratio...