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

Structural health monitoring (SHM) activities are essential for achieving a realistic characterisation of bridge structural performance levels throughout the service life. These activities can help...

[1]  Alan D. Kersey,et al.  Multiplexed Bragg grating optical fiber sensors for damage evaluation in highway bridges , 1998 .

[2]  Christian Cremona,et al.  Multivariate statistical analysis for early damage detection , 2013 .

[3]  A. Samer Ezeldin,et al.  Neural Networks for Estimating the Productivity of Concreting Activities , 2006 .

[4]  Daniele Inaudi,et al.  Monitoring of Concrete Bridges with Long-Gage Fiber Optic Sensors , 1999 .

[5]  Branko Glisic,et al.  Analysis of the status of pre-release cracks in prestressed concrete structures using long-gauge sensors , 2015 .

[6]  Michael Döhler,et al.  Statistical methods for damage detection applied to civil structures , 2017 .

[7]  Wei Zhang,et al.  Health Monitoring of Rehabilitated Concrete Bridges Using Distributed Optical Fiber Sensing , 2006, Comput. Aided Civ. Infrastructure Eng..

[8]  Brian Brenner,et al.  Bridge Damage Identification Using Artificial Neural Networks , 2018, Journal of Bridge Engineering.

[9]  Neil A. Hoult,et al.  Analysis of fiber-optic strain-monitoring data from a prestressed concrete bridge , 2017 .

[10]  W. W. Morey,et al.  Fiber optic Bragg grating strain sensor in large-scale concrete structures , 1993, Other Conferences.

[11]  Jenn-Chuan Chern,et al.  The health monitoring of a prestressed concrete beam by using fiber Bragg grating sensors , 2004 .

[12]  Donghoon Kang,et al.  Full-scale test of a concrete box girder using FBG sensing system , 2008 .

[13]  Gerald Meltz,et al.  Fiber Optic Bragg Grating Sensors , 1990, Other Conferences.

[14]  Masoud Sanayei,et al.  Statistical bridge damage detection using girder distribution factors , 2016 .

[15]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[16]  Mohammad Bagher Menhaj,et al.  Training feedforward networks with the Marquardt algorithm , 1994, IEEE Trans. Neural Networks.

[17]  Sudhakar M. Pandit,et al.  Statistical moments of autoregressive model residuals for damage localisation , 2006 .

[18]  William W. Morey,et al.  Multifunction, distributed optical fiber sensor for composite cure and response monitoring , 1990, Other Conferences.

[19]  Lucie Vandewalle,et al.  Damage identification using modal strains identified from operational fiber-optic Bragg grating data , 2018 .

[20]  Campbell R. Middleton,et al.  Evaluating the early-age behaviour of full-scale prestressed concrete beams using distributed and discrete fibre optic sensors , 2016 .

[21]  Kenneth Levenberg A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[22]  Hyung-Jo Jung,et al.  Vibration-based damage detection using online learning algorithm for output-only structural health monitoring , 2018 .

[23]  Giuseppina Uva,et al.  Structural monitoring using fiber optic sensors of a pre-stressed concrete viaduct during construction phases , 2014 .

[24]  Bojana V. Rosić,et al.  Model updating techniques for damage detection in concrete beam using optical fiber strain measurement device , 2016 .

[25]  Branko Glisic,et al.  Monitoring of long-term prestress losses in prestressed concrete structures using fiber optic sensors , 2019 .

[26]  Jae-Hung Han,et al.  Estimation of dynamic structural displacements using fiber Bragg grating strain sensors , 2007 .