Bridges are critical infrastructure systems connecting different regions and providing
widespread social and economic benefits. It is therefore essential that they are designed …

Spatial documentation is exponentially increasing given the availability of Big Data in the
Internet of Things, enabled by device miniaturization and data storage capacity. Bayesian …

Abstract The MX3D Bridge is the world's first additively manufactured metal bridge. It is a
10.5 m-span footbridge, and its dynamic response is a key serviceability consideration. The …

This paper presents a method of developing digital twins (DTs) of road bridges directly from
field measurements taken under random traffic loading. In a physics-based approach, the …

Abstract Machine learning models trained with structural health monitoring data have
become a powerful tool for system identification. This paper presents a physics-informed …

Data synthesizing is of great significance for the privacy protection of real credit data. Credit
data synthesis poses unique challenges, involving discrete and continuous features, lack of …

In this paper, the statistical finite element method is developed further to synthesize
distributed rail response data with nonlinear finite element model predictions within and …

A physics-informed machine learning model, in the form of a multi-output Gaussian process,
is formulated using the Euler-Bernoulli beam equation. Given appropriate datasets, the …

This paper introduces a methodology that combines a physics-based model with observed
data for accurately modeling the deflection of an elastic beam in the context of structural …

Many materials and structures consist of numerous slender struts or fibers. Due to the
manufacturing processes of different types of struts and the growth processes of natural …