The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …

Applying computer science techniques such as artificial intelligence (AI), deep learning (DL),
and computer vision (CV) on digital image data can help monitor and preserve cultural …

The paper presents a systematic review about the use of artificial intelligence (AI) in the field
of structural health management of existing bridges. Using the PRISMA protocol, 81 journal …

Abstract Structural Health Monitoring (SHM) implementations on infrastructures, including
bridges, are currently experiencing a surge in popularity as the favoured solution for …

Seismic intensity measures are one of the core parameters for estimating regional bridges'
seismic risk and vulnerability. Using macroscopic seismic intensity indicators to predict and …

Structural health monitoring (SHM) systems are used to analyze the health of infrastructures
such as bridges, using data from various types of sensors. While SHM systems consist of …

To explore the vulnerability of a reinforced concrete girder bridge and reinforced concrete
building during an earthquake, and to compare the difference in the seismic capacity of the …

This paper investigates the application of mechanics-informed artificial intelligence to civil
structural systems. Structural analysis is a traditional practice that involves engineers to …

Ensuring the reliability of electrical distribution networks is a pressing concern, especially
given the power outages due to surface contamination on insulating components. Surface …

Remotely operated vehicles (ROVs) and unmanned aerial vehicles (UAVs) provide a
solution for dam and bridges structural health information acquisition, but problems like …