Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges
M Vagnoli, R Remenyte-Prescott… - Structural Health …, 2018 - journals.sagepub.com
Railway importance in the transportation industry is increasing continuously, due to the
growing demand of both passenger travel and transportation of goods. However, more than …
growing demand of both passenger travel and transportation of goods. However, more than …
Damage detection in railway bridges using traffic-induced dynamic responses
This paper aims at detecting damage in railway bridges based on traffic-induced dynamic
responses. To achieve this goal, an unsupervised automatic data-driven methodology is …
responses. To achieve this goal, an unsupervised automatic data-driven methodology is …
Assessment of a monumental masonry bell-tower after 2016 Central Italy seismic sequence by long-term SHM
The response of the San Pietro monumental bell-tower located in Perugia, Italy, to the 2016
Central Italy seismic sequence is investigated, taking advantage of the availability of field …
Central Italy seismic sequence is investigated, taking advantage of the availability of field …
Foundations and applicability of transfer learning for structural health monitoring of bridges
The number of bridges worldwide is extensive, making it financially and technically
challenging for the authorities to install a structural health monitoring (SHM) system and …
challenging for the authorities to install a structural health monitoring (SHM) system and …
Structural health monitoring as a big-data problem
Structural health monitoring (SHM) has evolved over decades of continuous progress in
measuring, processing, collecting and storing massive amounts of data that can provide …
measuring, processing, collecting and storing massive amounts of data that can provide …
Progressive numerical model validation of a bowstring-arch railway bridge based on a structural health monitoring system
This paper presents a progressive numerical model validation of a bowstring-arch railway
bridge based on the analysis of experimental data from different structural response …
bridge based on the analysis of experimental data from different structural response …
A transfer Bayesian learning methodology for structural health monitoring of monumental structures
A critical aspect in structural health monitoring (SHM) applied to civil engineering structures
is the lack of diagnostic labels able to assign a damage class to the measured data. In this …
is the lack of diagnostic labels able to assign a damage class to the measured data. In this …
[HTML][HTML] Bayesian time–frequency analysis of the vehicle–bridge dynamic interaction effect on simple-supported resonant railway bridges
K Matsuoka, K Kaito, M Sogabe - Mechanical Systems and Signal …, 2020 - Elsevier
Monitoring the conditions or damages of bridges under train passages demands a high-
accuracy modal-characteristic identification method that separates the apparent fluctuations …
accuracy modal-characteristic identification method that separates the apparent fluctuations …
Damage detection of tunnel based on the high-density cross-sectional curvature obtained using strain data from BOTDA sensors
Y Liu, H Li, Y Wang, Y Men, Q Xu - Mechanical systems and signal …, 2021 - Elsevier
Fully distributed Brillouin-scattering-based optical sensors—eg, Brillouin optical time-
domain analysis (BOTDA) sensors—appear to be promising supplementary tools for the …
domain analysis (BOTDA) sensors—appear to be promising supplementary tools for the …
Multivariate statistical analysis for early damage detection
A large amount of researches and studies have been recently performed by applying
statistical methods for vibration-based damage detection. However, the global character …
statistical methods for vibration-based damage detection. However, the global character …