Recent developments in bridge weigh in motion (B-WIM)

M Lydon, SE Taylor, D Robinson, A Mufti… - Journal of Civil Structural …, 2016 - Springer
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 …

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 …

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 …

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 …

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 …

An extreme value prediction method based on clustering algorithm

B Dai, Y Xia, 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 …

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 …

LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data

Z Chen, Y Bao, H Li, BF Spencer Jr - Mechanical Systems and Signal …, 2019 - Elsevier
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 …

[HTML][HTML] Estimating bridge criticality due to extreme traffic loads in highway networks

MA Mendoza-Lugo, M Nogal, O Morales-Nápoles - Engineering Structures, 2024 - Elsevier
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 …

A comprehensive probabilistic model of traffic loads based on weigh-in-motion data for applications to bridge structures

J Kim, J Song - KSCE Journal of Civil Engineering, 2019 - Springer
In various efforts to assure safety and serviceability of a bridge structure throughout its
lifetime, it is essential to accurately estimate the traffic load effects. Although traffic loads …