Damage detection in bridge structures under moving loads with phase trajectory change of multi-type vibration measurements

2017 ◽  
Vol 87 ◽  
pp. 410-425 ◽  
Author(s):  
Weiwei Zhang ◽  
Jun Li ◽  
Hong Hao ◽  
Hongwei Ma
Keyword(s):  
Damage Detection ◽  
Phase Trajectory ◽  
Moving Loads ◽  
Vibration Measurements ◽  
Bridge Structures

A numerical–experimental study for structural damage detection in CFRP plates using remote vibration measurements

2017 ◽  
Vol 8 (1) ◽  
pp. 33-47 ◽  
Author(s):  
Guilherme Ferreira Gomes ◽  
Yohan Alí Diaz Mendéz ◽  
Sebastião Simões da Cunha ◽  
Antônio Carlos Ancelotti
Keyword(s):  
Experimental Study ◽  
Damage Detection ◽  
Structural Damage ◽  
Structural Damage Detection ◽  
Vibration Measurements

scholarly journals Information-theoretical noninvasive damage detection in bridge structures

2016 ◽  
Vol 26 (11) ◽  
pp. 116312 ◽  
Author(s):  
Amila Sudu Ambegedara ◽  
Jie Sun ◽  
Kerop Janoyan ◽  
Erik Bollt
Keyword(s):  
Damage Detection ◽  
Bridge Structures

PolyVinyliDene Fluoride (PVDF) Material Based Energy Harvesting from Train and Damaged Bridge Interaction

2013 ◽  
Vol 569-570 ◽  
pp. 335-341 ◽  
Author(s):  
Paul Cahill ◽  
Nathan Jackson ◽  
Alan Mathewson ◽  
Vikram Pakrashi
Keyword(s):  
Finite Element ◽  
Energy Harvesting ◽  
Damage Detection ◽  
Polyvinylidene Fluoride ◽  
Element Model ◽  
Element Analysis ◽  
Operational Conditions ◽  
Existing Structures ◽  
Bridge Structures ◽  
New Generation

This paper investigates the potential use of PolyVinyliDene Fluoride (PVDF) for the purposes of damage detection for infrastructural elements, primarily for bridge elements. PVDF based sensors have been created and characterised in the laboratory in this regard. Finite element analysis of vehicle-bridge interactions with varying damage are carried out. The energy harvesting signatures of realistic trains are assessed and quantified for the modelled bridge. The effect of localized damage on the finite element model and its subsequent relationship with energy harvesting from the calibrated PVDF based sensors are investigated using the harvesting signatures of realistic trains. This approach is useful in terms of designing new generation smart bridge structures and for possible retrofit of existing structures. The use of train-bridge interaction ensures that the damage detection is carried out while the bridge is under operational conditions. Consequently, there is minimal to no impact on the existing operation of the bridge or the transport network during damage detection. The paper is expected to be useful for practicing engineers and researchers in the field of application of new materials in the next generation of bridge structures.

Sign in / Sign up

Export Citation Format

Share Document