Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

For many systems in science and engineering, the governing differential equation is either
not known or known in an approximate sense. Analyses and design of such systems are …

Due to the absence of adequate control at different stages of complex manufacturing
process, material and geometric properties of composite structures are often uncertain. For a …

Digital twin technology has a huge potential for widespread applications in different
industrial sectors such as infrastructure, aerospace, and automotive. However, practical …

An accurate estimation of dynamic loads and structural dynamic responses is deemed an
indispensable prerequisite for developing trustworthy digital twin (DT) models of dynamically …

In the seismic analysis of structural systems, dynamic response prediction is an essential
problem and is significant in every stage during the structural life cycle. Conventionally …

In marine applications, estimating velocity fields or other states from limited data are
important as it provides a reference for active control. In this work, we propose PVNet …

Extracting governing physics from data is a key challenge in many areas of science and
technology. The existing techniques for equation discovery are mostly applicable to …

Identification of bridge dynamic properties from moving vehicle responses presents several
practical benefits. However, a problem that arises when working with vehicle responses for …

Surrogate modeling techniques are widely used to simulate the behavior of manufactured
and engineering systems. The construction of such surrogate models may become …