[HTML][HTML] Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications
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 …
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …
Machine learning in materials science
Traditional methods of discovering new materials, such as the empirical trial and error
method and the density functional theory (DFT)‐based method, are unable to keep pace …
method and the density functional theory (DFT)‐based method, are unable to keep pace …
Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
This paper presents a practical yet comprehensive implementation of the ensemble methods
for prediction of the shear strength for reinforced concrete deep beams with/without web …
for prediction of the shear strength for reinforced concrete deep beams with/without web …
A state-of-the-art review on machine learning-based multiscale modeling, simulation, homogenization and design of materials
Multiscale simulation and homogenization of materials have become the major
computational technology as well as engineering tools in material modeling and material …
computational technology as well as engineering tools in material modeling and material …
Emerging artificial intelligence methods in structural engineering
H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
[HTML][HTML] Applications of machine learning methods for engineering risk assessment–A review
The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …
learning methods to aid in engineering risk assessment. A keyword search is performed to …
Automatic pixel‐level multiple damage detection of concrete structure using fully convolutional network
S Li, X Zhao, G Zhou - Computer‐Aided Civil and Infrastructure …, 2019 - Wiley Online Library
Deep learning‐based structural damage detection methods overcome the limitation of
inferior adaptability caused by extensively varying real‐world situations (eg, lighting and …
inferior adaptability caused by extensively varying real‐world situations (eg, lighting and …
Deep learning‐based crack damage detection using convolutional neural networks
A number of image processing techniques (IPTs) have been implemented for detecting civil
infrastructure defects to partially replace human‐conducted onsite inspections. These IPTs …
infrastructure defects to partially replace human‐conducted onsite inspections. These IPTs …
Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm
DC Feng, ZT Liu, XD Wang, ZM Jiang… - Advanced Engineering …, 2020 - Elsevier
Failure mode (FM) and bearing capacity of reinforced concrete (RC) columns are key
concerns in structural design and/or performance assessment procedures. The failure types …
concerns in structural design and/or performance assessment procedures. The failure types …
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
demands advances in materials, devices, and systems of the construction industry …