Intelligent design and manufacturing of ultra-high performance concrete (UHPC)–A review
The quick rise of intelligent technologies promotes the development of the construction
industry into a new phase. As an advanced cement-based materials, ultra-high performance …
industry into a new phase. As an advanced cement-based materials, ultra-high performance …
Emerging AI technologies for corrosion monitoring in oil and gas industry: A comprehensive review
AH Khalaf, Y Xiao, N Xu, B Wu, H Li, B Lin, Z Nie… - Engineering Failure …, 2023 - Elsevier
Corrosion presents a daunting challenge to the oil and gas industry, resulting in substantial
maintenance expenses and productivity losses. Conventional corrosion monitoring …
maintenance expenses and productivity losses. Conventional corrosion monitoring …
Enhancing corrosion-resistant alloy design through natural language processing and deep learning
We propose strategies that couple natural language processing with deep learning to
enhance machine capability for corrosion-resistant alloy design. First, accuracy of machine …
enhance machine capability for corrosion-resistant alloy design. First, accuracy of machine …
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 …
Design of concrete incorporating microencapsulated phase change materials for clean energy: A ternary machine learning approach based on generative adversarial …
The inclusion of microencapsulated phase change materials (MPCM) in construction
materials is a promising solution for increasing the energy efficiency of buildings and …
materials is a promising solution for increasing the energy efficiency of buildings and …
Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review
S Wang, P Xia, K Chen, F Gong, H Wang… - Journal of Building …, 2023 - Elsevier
Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …
application of concrete and its components are the most critical. Particularly, the production …
Machine learning in coastal bridge hydrodynamics: a state-of-the-art review
Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …
hazards, relevant research is thus required to ensure the safe operation of these critical …
Development of compressive strength prediction platform for concrete materials based on machine learning techniques
K Liu, L Zhang, W Wang, G Zhang, L Xu, D Fan… - Journal of Building …, 2023 - Elsevier
With the continuous development of artificial intelligence, machine learning (ML), as an
important branch, is used to promote the digitalization of concrete. Considering that the …
important branch, is used to promote the digitalization of concrete. Considering that the …
Accurately predicting the mechanical behavior of deteriorated reinforced concrete components using natural intelligence-integrated Machine learners
Corrosion in reinforced concrete components promotes the degradation of structural
durability during the service life of buildings. In this paper, the performance of several …
durability during the service life of buildings. In this paper, the performance of several …
Machine learning-based modeling and analysis of perfluoroalkyl and polyfluoroalkyl substances controlling systems in protecting water resources
Highlights•ML models were reviewed for PFAS control in water resources.•Over 70% of the
studies have shown prediction strength of> 80%.•Gaps and opportunities in ML application …
studies have shown prediction strength of> 80%.•Gaps and opportunities in ML application …