Structural health monitoring of civil engineering structures by using the internet of things: A review

M Mishra, PB Lourenço, GV Ramana - Journal of Building Engineering, 2022 - Elsevier
Structural health monitoring (SHM) and damage assessment of civil engineering
infrastructure are complex tasks. Structural health and strength of structures are influenced …

Internet of Things-enabled smart cities: State-of-the-art and future trends

AH Alavi, P Jiao, WG Buttlar, N Lajnef - Measurement, 2018 - Elsevier
The dramatic spread of urbanization in modern cities requires smart solutions to address
critical issues such as mobility, healthcare, energy, and civil infrastructure. The Internet of …

Construction 4.0

A Sawhney, M Riley, J Irizarry… - Sawhney, A., Riley, M …, 2020 - api.taylorfrancis.com
With the pervasive use of Building Information Modelling (BIM), lean principles, digital
technologies, and offsite construction, the industry is at the cusp of this transformation. The …

A comprehensive review of loosening detection methods for threaded fasteners

J Huang, J Liu, H Gong, X Deng - Mechanical Systems and Signal …, 2022 - Elsevier
Loosening of threaded fasteners can cause preload decline, induce bolt fatigue fracture, and
severely compromise the reliability of mechanical products. Loosening detection is an …

Investigation of steel frame damage based on computer vision and deep learning

B Kim, N Yuvaraj, HW Park, KRS Preethaa… - Automation in …, 2021 - Elsevier
Visual damage inspection of steel frames by eyes alone is time-consuming and
cumbersome; therefore, it produces inconsistent results. Existing computer vision-based …

A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends

H Salehi, R Burgueño, S Chakrabartty, N Lajnef… - Engineering …, 2021 - Elsevier
Rapid development in structural health monitoring systems has led to the invention of
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …

Real-time prediction of key monitoring physical parameters for early warning of fire-induced building collapse

W Ji, GQ Li, S Zhu - Computers & Structures, 2022 - Elsevier
This paper proposes a real-time prediction method for key monitoring physical parameters
(KMPPs) for early warning of fire-induced building collapse using machine learning. Since …

[PDF][PDF] Considerations over the Italian road bridge infrastructure safety after the Polcevera viaduct collapse: past errors and future perspectives.

F Bazzucchi, L Restuccia, GA Ferro - Frattura e Integrita Strutturale, 2018 - core.ac.uk
In the last four years, Italy experienced the collapse of five road bridge: Petrulla viaduct
(2014), Annone (2016) and Ancona (2017) overpasses, Fossano viaduct (2017) and …

Wireless smart sensors for monitoring the health condition of civil infrastructure

JP Amezquita-Sanchez… - Scientia …, 2018 - scientiairanica.sharif.edu
A wireless smart sensor (WSS) has an embedded processor which is employed for signal
processing, communication, and integration capabilities. A state-of-the-art review of recent …

Prediction of long-term strain in concrete structure using convolutional neural networks, air temperature and time stamp of measurements

BK Oh, HS Park, B Glisic - Automation in Construction, 2021 - Elsevier
A data prediction method for long-term strain measurements from concrete structures based
on the strong correlation between air temperature and structural response is proposed. A …