This paper and a companion paper present a state-of-the-art review of significant research
performed in the area of smart structures. The focus of the review is journal articles …

Abstract Machine learning has played an essential role in the past decades and has been in
lockstep with the main advances in computer technology. Given the massive amount of data …

In this article, an improved impervious solid boundary condition of the coupled method
called smooth particle hydrodynamics and discrete element method (SPH‐DEM) is …

Accurately predicting the dynamics of complex systems governed by partial differential
equations (PDEs) is crucial in various applications. Traditional numerical methods such as …

Digital twin requires establishing a self‐updated model to simulate the structural damage
perceived onsite. Despite the great success in damage identification and quantification, the …

In recent years, incremental sampling-based motion planning algorithms have been widely
used to solve robot motion planning problems in high-dimensional configuration spaces. In …

Neurocomputing for Design Automation provides innovative design theories and
computational models with two broad objectives: automation and optimization. This singular …

This paper presents a decomposition scheme to find near‐optimal solutions to a cell
transmission model‐based system optimal dynamic traffic assignment problem with multiple …

This paper presents the author's perspective on four decades of computing in civil
engineering. Examples of research by the author and his associates published during the …

Terrestrial laser scanning (TLS) is a technique that remotely obtains the three‐dimensional
(3D) coordinates of an object using laser pulses. It is advantageous when used to obtain the …