Bridge infrastructure asset management system: Comparative computational machine learning approach for evaluating and predicting deck deterioration conditions

R Assaad, IH El-Adaway - Journal of Infrastructure Systems, 2020 - ascelibrary.org
Bridge infrastructure asset management system is a prevailing approach toward having an
effective and efficient procedure for monitoring bridges through their different development …

Cyber-physical system architecture for automating the map** of truck loads to bridge behavior using computer vision in connected highway corridors

R Hou, S Jeong, JP Lynch, KH Law - Transportation research part c …, 2020 - Elsevier
Bridges are critical components of highways ensuring traffic can efficiently travel over
obstructions such as bodies of water, valleys, and other roads. Ensuring bridges are in …

Bridge deck deterioration: Reasons and patterns

X Kong, Z Li, Y Zhang, S Das - Transportation research …, 2022 - journals.sagepub.com
The deck condition of bridges is one of the most important factors impacting the connectivity
and efficiency of transportation networks. Bridges with quickly deteriorating deck conditions …

Long‐term bridge performance assessment using clustering and Bayesian linear regression for vehicle load and strain map** model

X Zhang, Y Ding, H Zhao, L Yi - Structural Control and Health …, 2022 - Wiley Online Library
The weigh‐in‐motion (WIM) system and the structural health monitoring (SHM) system have
been used as two separate modules playing different roles in bridge operation and …

[HTML][HTML] Estimating the frequency of traffic overloading on road bridges

R Ventura, B Barabino, G Maternini - Journal of Traffic and Transportation …, 2024 - Elsevier
Load limits, which appear to be routinely exceeded by trucks, occasionally result in road
bridge failures. Therefore, predicting failures is crucial for safeguarding road safety. Past …

Effects of revised toll‐by‐weight policy on truck overloading behavior and bridge infrastructure damage using weigh‐in‐motion data: A comparative study in China

H Huang, J Zhou, J Zhang, W Xu… - Advances in Civil …, 2019 - Wiley Online Library
Since 2000, overloaded trucks have caused more than 50 bridges to collapse in China. In
an effort to ensure the structural safety and extend the service life of the highway …

Enhancing Reliability Analysis with Multisource Data: Mitigating Adverse Selection Problems in Bridge Monitoring and Management

A Sinha, MG Chorzepa, JJ Yang, SS Kim, S Durham - Applied Sciences, 2022 - mdpi.com
Data collected using sensors plays an essential role in active bridge health monitoring.
When analyzing a large number of bridges in the US, the National Bridge Inventory data as …

Stochastic Multi-Objective Optimization-Based Life Cycle Cost Analysis for New Construction Materials and Technologies

J Gao, K Ozbay, H Nassif… - Transportation Research …, 2019 - journals.sagepub.com
The sustainability of transportation infrastructure depends on the adoption of new
construction materials and technologies that can potentially improve performance and …

Impact of overweight trucks on the service life of bridge girders

P Lou, H Nassif, D Su, P Truban - Transportation Research …, 2017 - journals.sagepub.com
State agencies are responsible for making major decisions on allocating the available but
limited funds for the maintenance and rehabilitation of bridges. Over the past two decades …

Detect and charge: Machine learning based fully data-driven framework for computing overweight vehicle fee for bridges

OE Gungor, IL Al-Qadi, J Mann - Automation in Construction, 2018 - Elsevier
This study develops a fully data-driven framework for computing overweight vehicle fee that
combines historical bridge data from National Bridge Inventory (NBI) and weigh-in-motion …