Article Title,Year,Volume,Issue,Page Range,Author
A novel vibration-based monitoring technique for bridge pier and abutment scour,2013,12,2,114-125,Fisher
Fatigue life prediction of welded joints in orthotropic steel decks considering temperature effect and increasing traffic flow,2008,7,3,189-202,Tong
Compressed sensing techniques for detecting damage in structures,2013,12,4,325-338,Mascareñas
Incorporation of structural health monitoring data on load effects in the reliability and redundancy assessment of ship cross-sections using Bayesian updating,2013,12,4,377-392,Frangopol
A field experiment on a steel Gerber-truss bridge for damage detection utilizing vehicle-induced vibrations,2016,15,2,174-192,Kim
On vibration-based damage detection by multivariate statistical techniques: application to a long-span arch bridge,2016,15,5,505-524,Comanducci
A detection and classification approach for underwater dam cracks,2016,15,5,541-554,Shi
Dam safety prediction model considering chaotic characteristics in prototype monitoring data series,2016,15,6,639-649,Su
An experimental study: fiber Bragg grating-hydrothermal cycling integration system for seepage monitoring of rockfill dams,2017,16,1,50-61,Chen
Bridge extreme stress prediction based on Bayesian dynamic linear models and non-uniform sampling,2017,16,3,253-261,Fan
Autonomous mobile lock-in thermography system for detecting and quantifying voids in liquefied natural gas cargo tank second barrier,2017,16,3,276-290,Sohn
An adaptive guided wave-Gaussian mixture model for damage monitoring under time-varying conditions: validation in a full-scale aircraft fatigue test,2017,16,5,501-517,Boller
Tracking modal parameters of building structures from experimental studies and earthquake response measurements,2017,16,5,551-567,Loh
Damage identification in concrete structures with uncertain but bounded measurements,2017,16,6,649-662,Biswal
Inversion of magnetic fields inside pipelines: modeling validations and applications,2018,17,1,80-90,Yu
A surveillance system for urban buried pipeline subject to third-party threats based on fiber optic sensing and convolutional neural network,2021,20,4,1704-1715,Li