Performance assessment of prestressed concrete bridge girders using fiber optic sensors and artificial neural networks

Monitoring of long-term prestress losses in prestressed concrete structures using fiber optic sensors

(2018) Hiba Abdel-Jaber et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Bridge Damage Identification Using Artificial Neural Networks

(2018) Jordan C. Weinstein et al.   Journal of Bridge Engineering

Analysis of Fiber-Optic Strain-Monitoring Data from a Prestressed Concrete Bridge

(2017) G. T. Webb et al.   Journal of Bridge Engineering

Damage identification using modal strains identified from operational fiber-optic Bragg grating data

(2017) Dimitrios Anastasopoulos et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Vibration-based damage detection using online learning algorithm for output-only structural health monitoring

(2017) Seung-Seop Jin et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Evaluating the early-age behaviour of full-scale prestressed concrete beams using distributed and discrete fibre optic sensors

(2016) Liam J. Butler et al.   CONSTRUCTION AND BUILDING MATERIALS

Statistical bridge damage detection using girder distribution factors

(2016) Alexandra J. Reiff et al.   ENGINEERING STRUCTURES

Model updating techniques for damage detection in concrete beam using optical fiber strain measurement device

(2016) J. Waeytens et al.   ENGINEERING STRUCTURES

Analysis of the status of pre-release cracks in prestressed concrete structures using long-gauge sensors

(2015) H Abdel-Jaber et al.   Smart Materials and Structures

Multivariate statistical analysis for early damage detection

(2013) João Pedro Santos et al.   ENGINEERING STRUCTURES

Full-scale test of a concrete box girder using FBG sensing system

(2007) Wonseok Chung et al.   ENGINEERING STRUCTURES