Recent developments in bridge weigh in motion (B-WIM)
Bridge weigh in motion (B-WIM) uses accurate sensing systems to transform an existing
bridge into a mechanism to determine actual traffic loading. This information on traffic …
bridge into a mechanism to determine actual traffic loading. This information on traffic …
State of the art in damage information modeling for RC bridges–A literature review
M Artus, C Koch - Advanced engineering informatics, 2020 - Elsevier
In Germany, bridges have an average age of 40 years. A bridge consumes between 0.4%
and 2% of its construction cost per year over its entire life cycle. This means that up to 80 …
and 2% of its construction cost per year over its entire life cycle. This means that up to 80 …
A comparative study of vehicle-bridge interaction dynamics with 2D and 3D vehicle models
JA Li, D Feng - Engineering Structures, 2023 - Elsevier
The dynamics of vehicle-bridge interaction (VBI) involve the adoption of two-dimensional
(2D) and three-dimensional (3D) vehicle models in simulations. It is worth noting that the 2D …
(2D) and three-dimensional (3D) vehicle models in simulations. It is worth noting that the 2D …
Maximum probabilistic and dynamic traffic load effects on short-to-medium span bridges
N Lu, H Wang, K Wang, Y Liu - Computer Modeling in …, 2021 - ingentaconnect.com
The steadily growing traffic load has resulted in lots of bridge collapse events over the past
decades, especially for short-to-medium span bridges. This study investigated probabilistic …
decades, especially for short-to-medium span bridges. This study investigated probabilistic …
Kriging based sequence interpolation and probability distribution correction for gaussian wind field data reconstruction
Q Lin, C Li - Journal of Wind Engineering and Industrial …, 2020 - Elsevier
Data reconstruction is an important research topic for missing data recovery and data
supplement. Spatial interpolation is often used for data reconstruction. The interpolation for …
supplement. Spatial interpolation is often used for data reconstruction. The interpolation for …
An extreme value prediction method based on clustering algorithm
B Dai, Y **a, Q Li - Reliability Engineering & System Safety, 2022 - Elsevier
Extreme value prediction has been widely applied in many safety-critical scenarios. Due to
the influence of mixed types of events, the random variables oftentimes do not comply with …
the influence of mixed types of events, the random variables oftentimes do not comply with …
Intelligent cognition of traffic loads on road bridges: From measurement to simulation–A review
J Zheng, J Tang, Z Zhou, J Heng, X Chu, T Wu - Measurement, 2022 - Elsevier
Traffic load is a crucial but complicated factor in determining the in-service performance and
deterioration behavior of bridges. A better understanding of traffic loads in different traffic …
deterioration behavior of bridges. A better understanding of traffic loads in different traffic …
LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data
Data loss is a critical problem in structural health monitoring (SHM). Probability distributions
play a highly important role in many applications. Improving the quality of distribution …
play a highly important role in many applications. Improving the quality of distribution …
[HTML][HTML] Estimating bridge criticality due to extreme traffic loads in highway networks
Around the world, an increasing amount of bridge infrastructure is ageing. The resources
involved in the reassessment of existing assets often exceed available resources and many …
involved in the reassessment of existing assets often exceed available resources and many …
Reliability-based fatigue life assessment using random road load condition and local damage criteria
This study presents a fatigue reliability assessment of a vehicle coil spring based on random
road load conditions for fatigue life characterisation. Fatigue life data characterisation was …
road load conditions for fatigue life characterisation. Fatigue life data characterisation was …