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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …