Temperature-based measurement interpretation of the MX3D Bridge
Abstract The MX3D Bridge is the world's first structure produced using metal additive
manufacturing (AM, ie 3D printing), deposited through wire and arc AM (WAAM). The long …
manufacturing (AM, ie 3D printing), deposited through wire and arc AM (WAAM). The long …
[HTML][HTML] Detection and quantification of temperature sensor drift using probabilistic neural networks
Temperature effects are a major driver of strain and deformations in weather-exposed civil
infrastructure, such as bridges and buildings. For such structures, long-term temperature …
infrastructure, such as bridges and buildings. For such structures, long-term temperature …
Early warning method for bearing displacement of long-span bridges using a proposed time-varying temperature–displacement model
Bearing displacement is a necessary monitoring index for a long-span bridge because
abnormal bearing displacements could result from structural deterioration or damage …
abnormal bearing displacements could result from structural deterioration or damage …
Cointegration and how it works for structural health monitoring
PB Dao, WJ Staszewski - Measurement, 2023 - Elsevier
Cointegration theory has been effectively applied to SHM. However, there is no work that
has focused on explaining specifically how cointegration can be applied to SHM problems …
has focused on explaining specifically how cointegration can be applied to SHM problems …
Switching Bayesian dynamic linear model for condition assessment of bridge expansion joints using structural health monitoring data
Age-related deterioration and premature failure have been primary concerns for bridge
expansion joints. It is essential to improve the understanding of their operational …
expansion joints. It is essential to improve the understanding of their operational …
An anomaly pattern detection for bridge structural response considering time-varying temperature coefficients
Y Ren, Q Ye, X Xu, Q Huang, Z Fan, C Li, W Chang - Structures, 2022 - Elsevier
To improve the detection rate in the bridge anomaly detection, this study proposes an
anomaly pattern detection method based on the time-varying temperature–displacement …
anomaly pattern detection method based on the time-varying temperature–displacement …
An iterative regression-based thermal response prediction methodology for instrumented civil infrastructure
Normal environmental and operational variability continues to be a challenge in the
measurement interpretation of structural health monitoring (SHM) data. This variability …
measurement interpretation of structural health monitoring (SHM) data. This variability …
Extraction of solitons from nonlinear refractive index cubic-quartic model via a couple of integration norms
In this paper, the nonlinear refractive index cubic-quartic model is investigated using the
couple of integration schemes namely, new extended generalized Kudryashov and …
couple of integration schemes namely, new extended generalized Kudryashov and …
Review of anomaly detection in large span bridges: available methods, recent advancements and future trends
Z Fan, X Tang, Y Chen, Y Ren, C Deng, Z Wang… - Advances in Bridge …, 2024 - Springer
During the life-cycle service of the constructed large span bridges, they face various threats
every day due to the sophisticated operational environments. To ensure the structural safety …
every day due to the sophisticated operational environments. To ensure the structural safety …
Application of anomaly detection to real world monitoring data of a rail-road bridge
F Wedel, S Marx - Structural Engineering International, 2024 - Taylor & Francis
The growing importance of automatic bridge condition monitoring, driven by the need to
sustain infrastructure and reduce construction-related CO2 emissions, has led to increased …
sustain infrastructure and reduce construction-related CO2 emissions, has led to increased …