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 …
Mixed Skewness Probability Modeling and Extreme Value Predicting for Physical System Input/Output Based on Full Bayesian Generalized Maximum-Likelihood …
X Zhang, Y Ding, H Zhao, L Yi, T Guo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dynamic parameterization of the statistical characteristics of structural systems' measured
input and output data is an important task for the digital twin modeling and intelligent risk …
input and output data is an important task for the digital twin modeling and intelligent risk …
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 …
Estimating the influence of disruption on highway networks using GPS data
Z Yang, F Liu, Z Gao, H Sun, J Zhao, D Janssens… - Expert Systems with …, 2022 - Elsevier
Incidents, such as natural disasters, public events, and holidays, often cause problems to
highways, even paralyze the operation of the whole networks, leading to a serious threat to …
highways, even paralyze the operation of the whole networks, leading to a serious threat to …
Behaviour of pre-cracked self-healing cementitious materials under static and cyclic loading
Capsule-based self-healing is increasingly being targeted as an effective way to improve the
durability and sustainability of concrete infrastructures through the extension of their service …
durability and sustainability of concrete infrastructures through the extension of their service …
Novel methodology for identifying the weight of moving vehicles on bridges using structural response pattern extraction and deep learning algorithms
Y Zhou, Y Pei, S Zhou, Y Zhao, J Hu, W Yi - Measurement, 2021 - Elsevier
Acquiring the weights of moving vehicles on bridges is crucial for structural performance
assessment, as well as for bridge operating and maintenance strategies. Due to the high …
assessment, as well as for bridge operating and maintenance strategies. Due to the high …
[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 …
Evaluating probabilistic traffic load effects on large bridges using long-term traffic monitoring data
With the steadily growing of global transportation market, the traffic load has increased
dramatically over the past decades, which may develop into a risk source for existing …
dramatically over the past decades, which may develop into a risk source for existing …
Dynamic real-time reliability prediction of bridge structures based on Copula–BHDLM and measured stress data
B Ge, ZC Wang, Y Xin, S Li, ZQ Yuan - Measurement, 2022 - Elsevier
This study presents a novel dynamic real-time reliability prediction method by considering
the time-varying correlation among the data at multiple measurement points. The Bayesian …
the time-varying correlation among the data at multiple measurement points. The Bayesian …
A Bayesian approach for site-specific extreme load prediction of large scale bridges
X Xu, MC Forde, Y Ren, Q Huang - Structure and Infrastructure …, 2023 - Taylor & Francis
To measure uncertainties of site-specific extreme loads for a signature bridge, a probabilistic
method is developed based on structural health monitoring data in the Bayesian context …
method is developed based on structural health monitoring data in the Bayesian context …