The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges

R Zinno, SS Haghshenas, G Guido, K Rashvand… - Applied Sciences, 2022 - mdpi.com
The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …

Structural health monitoring of railway bridges using innovative sensing technologies and machine learning algorithms: A concise review

YW Wang, YQ Ni, SM Wang - Intelligent Transportation …, 2022 - academic.oup.com
Railway bridges are a vital element of railway infrastructures, and their safety can directly
affect the regional economy and commuter transportation. However, railway bridges are …

Structure monitoring with BIM and IoT: The case study of a bridge beam model

A Scianna, GF Gaglio, M La Guardia - ISPRS International Journal of Geo …, 2022 - mdpi.com
The diffusion of Building Information Modelling (BIM) as a reference methodology, applied to
the world of construction, leads to important changes in the design and the management of …

Bridge damage identification using deep neural networks on time–frequency signals representation

P Santaniello, P Russo - Sensors, 2023 - mdpi.com
For the purpose of maintaining and prolonging the service life of civil constructions,
structural damage must be closely monitored. Monitoring the incidence, formation, and …

Efficiency of high performance fiber reinforced cementitious composites as a retrofit material for fire-damaged concrete

UJ Udi, I Almeshal, MAM Johari, MZAM Zahid… - Materials Today …, 2022 - Elsevier
In this paper, high performance fiber reinforced cementitious composites (HPFRCC)
confinement jackets were proposed to investigate its effectiveness in retrofitting and …

R3-DICnet: an end-to-end recursive residual refinement DIC network for larger deformation measurement

J Yang, K Qian, L Wang - Optics Express, 2024 - opg.optica.org
Digital image correlation (DIC) is an optical metrology method for measuring object
deformation and has been widely used in many fields. Recently, the deep learning based …

Fiber Optic Sensing Technology and Vision Sensing Technology for Structural Health Monitoring

H Wang, JK Guo, H Mo, X Zhou, Y Han - Sensors, 2023 - mdpi.com
Structural health monitoring is currently a crucial measure for the analysis of structural
safety. As a structural asset management approach, it can provide a cost-effective measure …

Analysis of FRP-Strengthened Reinforced Concrete Beams Using Electromechanical Impedance Technique and Digital Image Correlation System

R Perera, MC Huerta, M Baena, C Barris - Sensors, 2023 - mdpi.com
Fiber-reinforced polymer (FRP) strengthening systems have been considered an effective
technique to retrofit concrete structures, and their use nowadays is more and more …

Noncontact vision-based impact force reconstruction and spatial-temporal deflection tracking of a flexible barrier system under rockfall impact

Y Tian, L Luo, Z Yu, H Xu, F Ni - Computers and Geotechnics, 2023 - Elsevier
Flexible barrier systems are significant for natural disasters (eg, rockfalls, mudslides)
prevention in mountainous areas. However, monitoring the dynamic behavior of flexible …

GNSS-assisted low-cost vision-based observation system for deformation monitoring

R Shults, A Ormambekova, Y Medvedskij… - Applied Sciences, 2023 - mdpi.com
This paper considers an approach to solve the structure monitoring problem using an
integrated GNSS system and non-metric cameras with QR-coded targets. The system is …