[HTML][HTML] Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

SK Baduge, S Thilakarathna, JS Perera… - Automation in …, 2022 - Elsevier
This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

[HTML][HTML] Application of artificial intelligence in marine corrosion prediction and detection

MMH Imran, S Jamaludin, AFM Ayob, AAIM Ali… - Journal of Marine …, 2023 - mdpi.com
One of the biggest problems the maritime industry is currently experiencing is corrosion,
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …

Beyond the chloride threshold concept for predicting corrosion of steel in concrete

UM Angst, OB Isgor, CM Hansson, A Sagüés… - Applied Physics …, 2022 - pubs.aip.org
All existing models to forecast the corrosion performance of reinforced concrete structures
exposed to chloride environments are based on one common theoretical concept, namely, a …

Vision-oriented machine learning-assisted seismic energy dissipation estimation for damaged RC beam-column connections

M Hamidia, M Kaboodkhani, H Bayesteh - Engineering Structures, 2024 - Elsevier
After a seismic event, damage quantification is necessary for safety evaluation, collapse
proximity judgment, and measurement of the residual seismic capacity of the joints. Machine …

A novel combined experimental-machine learning approach to estimate the probabilistic capacity of RC beams with spatially correlated rebar corrosion in transverse …

S Srivaranun, M Akiyama, T Yamada… - Engineering …, 2023 - Elsevier
Chloride-induced corrosion of tensile rebars in reinforced concrete (RC) structures causes
cracking in the concrete surface along corroded rebars. The width of these cracks could …

Early predicting tribocorrosion rate of dental implant titanium materials using random forest machine learning models

RA Ramachandran, VAR Barão, D Ozevin… - Tribology …, 2023 - Elsevier
Early detection and prediction of bio-tribocorrosion can avert unexpected damage that may
lead to secondary revision surgery and associated risks of implantable devices. Therefore …

[HTML][HTML] Analysis of an empirical seismic fragility prediction model of wooden roof truss buildings

SQ Li - Case Studies in Construction Materials, 2022 - Elsevier
To explore the vulnerability of wood roof truss buildings (WRTBs) under earthquake action,
the empirical damage typical characteristics of 12,343.4× 10 4 m 2 and 21,490 buildings of …

Multi-objective optimisation of in-service asphalt pavement maintenance schedule considering system reliability estimated via LSTM neural networks

J Xin, M Akiyama, DM Frangopol… - Structure and …, 2022 - Taylor & Francis
This article presents a novel system reliability-based framework for multi-objective
optimisation of preventive maintenance (PM) management of in-service asphalt pavement …

Effect of the interaction of corrosion pits among multiple tensile rebars on the reliability of RC structures: Experimental and numerical investigation

S Srivaranun, M Akiyama, P Bocchini, V Christou… - Structural Safety, 2021 - Elsevier
The deterioration of reinforced concrete (RC) structures due to chloride-induced corrosion is
not spatially uniform because of the spatial variability related to material properties and …

Random field-based reliability updating framework for existing RC structures incorporating the effect of spatial steel corrosion distribution

S Srivaranun, M Akiyama, K Masuda… - Structure and …, 2022 - Taylor & Francis
In recent years, interest in the effect of the spatial variability associated with steel corrosion
on the safety and reliability of reinforced concrete (RC) structures in harsh environments has …