Interpretable machine learning methods for clarification of load-displacement effects on cable-stayed bridge
Cable-stayed bridges play a crucial role in various transportation systems, facilitating the
movement of pedestrians, automobiles, and trains. Accurately estimating structural …
movement of pedestrians, automobiles, and trains. Accurately estimating structural …
Predicting thermal response of bridges using regression models derived from measurement histories
This study investigates the application of novel computational techniques for structural
performance monitoring of bridges that enable quantification of temperature-induced …
performance monitoring of bridges that enable quantification of temperature-induced …
Fatigue life evaluation of bridge stay cables subject to monitoring traffic and considering road roughness
JA Li, D Feng - Engineering Structures, 2023 - Elsevier
Bridge stay cables are susceptible to fatigue damage caused by cyclic traffic loads.
However, the effects of road roughness on fatigue assessment are often ignored, even …
However, the effects of road roughness on fatigue assessment are often ignored, even …
Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach
Data analysis and modeling are very important in structural health monitoring. A good model
is very conducive to better understanding, interpretation, estimation or prediction of structural …
is very conducive to better understanding, interpretation, estimation or prediction of structural …
A data-driven approach based on wavelet analysis and deep learning for identification of multiple-cracked beam structures under moving load
TQ Nguyen, LC Vuong, CM Le, NK Ngo… - Measurement, 2020 - Elsevier
This article aims to identify multiple cracks of a structure under the act of moving load by
using wavelet analysis based on displacement signal. Among many researches on this …
using wavelet analysis based on displacement signal. Among many researches on this …
AI-enabled indirect bridge strain sensing using field acceleration data
Life-cycle performance assessment of bridges is crucial for decisions pertaining to
functionality, maintenance, and rehabilitation while accounting for inherent epistemic and …
functionality, maintenance, and rehabilitation while accounting for inherent epistemic and …
Through-thickness welding residual stress and its effect on stress intensity factors for semi-elliptical surface cracks in a butt-welded steel plate
The through-thickness distribution of welding residual stress (RS) in a 30-mm-thick butt-
welded Q345qD steel plate is investigated through experimental measurements and finite …
welded Q345qD steel plate is investigated through experimental measurements and finite …
Fatigue analysis of long-span suspension bridges under multiple loading: Case study
Long-span suspension bridges are often subject to multiple types of dynamic loads,
especially those located in wind-prone regions and carrying both trains and road vehicles …
especially those located in wind-prone regions and carrying both trains and road vehicles …
A data-driven approach to structural health monitoring of bridge structures based on the discrete model and FFT-deep learning
TQ Nguyen - Journal of Vibration Engineering & Technologies, 2021 - Springer
In this paper, we investigate changes in the mechanical properties of complex structures
using a combination of the discrete model, Fast Fourier Transform (FFT) analysis and deep …
using a combination of the discrete model, Fast Fourier Transform (FFT) analysis and deep …
Investigation of fatigue performance of welded details in long‐span steel bridges using long‐term monitoring strain data
Monitoring strain data provides possibilities for the fatigue assessment of the critical
components in real structures under the operational conditions. This paper presents a case …
components in real structures under the operational conditions. This paper presents a case …