This study investigated operational and structural health monitoring (SHM) as well as
damage evaluations for building structures. The study involved damage detection and the …

This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …

Operational modal analysis methods have been proven especially useful to identify existing
structures and infrastructures under serviceability conditions. However, the installation of …

A new generation of systems appeared with the birth of Cyber-Physical Systems (CPS) that
integrated computational and physical capabilities. CPS represents an emerging domain as …

Accurate finite element models play significant roles in the design, health monitoring and life-
cycle maintenance of long-span bridges. However, due to uncertainties involved in finite …

Accurate and high‐fidelity finite element (FE) models are in great demand in the design,
performance assessment, and life‐cycle maintenance of long‐span cable‐stayed bridges …

Prediction of structural response is necessary for evaluating condition and quantifying
vulnerability of structural systems exposed to seismic loads. Traditional modeling techniques …

Towards a complete and accurate seismic assessment of a super high‐rise building under
bidirectional long‐period ground motions, this study proposes an optimal multi‐type sensor …

In this paper, a novel Multi-Objective Hypergraph Particle Swarm Optimization (MOHGPSO)
algorithm for structural health monitoring (SHM) systems is considered. This algorithm …

The presence of cracks in concrete is a concern because they can reduce the mechanical
properties and durability of concrete. The presence of a single crack in concrete and its …