[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 …

Predictive models for concrete properties using machine learning and deep learning approaches: A review

MM Moein, A Saradar, K Rahmati… - Journal of Building …, 2023 - Elsevier
Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …

Machine learning in concrete science: applications, challenges, and best practices

Z Li, J Yoon, R Zhang, F Rajabipour… - npj computational …, 2022 - nature.com
Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …

A review on the modelling of carbonation of hardened and fresh cement-based materials

X You, X Hu, P He, J Liu, C Shi - Cement and Concrete Composites, 2022 - Elsevier
Different models have been proposed to investigate and predict the carbonation process of
cement-based materials. This paper firstly introduces the carbonation process occurred in …

Enhancing the treatment efficiency of recycled concrete fines with aqueous carbonation

Y Jiang, L Peng, Z Ma, J Lu, P Shen… - Cement and Concrete …, 2023 - Elsevier
Abstract Recycled concrete fines (RCFs, 0.3 mm≪ 2.36 mm) are the fine fractions of waste
concrete generated during the recycling process. RCFs contain less natural aggregate and …

Recent trends in prediction of concrete elements behavior using soft computing (2010–2020)

M Mirrashid, H Naderpour - Archives of Computational Methods in …, 2021 - Springer
Soft computing (SC), due to its high abilities to solve the complex problems with uncertainty
and multiple parameters, has been widely investigated and used, especially in structural …

Effect of W/C ratio on durability and porosity in cement mortar with constant cement amount

YY Kim, KM Lee, JW Bang… - Advances in Materials …, 2014 - Wiley Online Library
Water is often added to concrete placing for easy workability and finishability in construction
site. The additional mixing water can help easy mixing and workability but causes increased …

An overview on the influence of various parameters on the fabrication and engineering properties of CO2-cured cement-based composites

K Chen, J Xia, R Wu, X Shen, J Chen, Y Zhao… - Journal of Cleaner …, 2022 - Elsevier
The cement manufacturing industry, a resource-and energy-intensive sector, took up more
than 15% of total greenhouse gas emissions in China, thus finding a clean technology …

A state-of-the-art review on the carbonation process in cementitious materials: Fundamentals and characterization techniques

Q Qiu - Construction and Building Materials, 2020 - Elsevier
Carbonation of cementitious materials can greatly shorten the length of lifetime for steel-
reinforced concrete structures constructed in atmospheric environment, due to steel …

Carbonation modelling of hardened cementitious materials considering pore structure characteristics: A review

L Tong, Y Cai, Q Liu - Journal of Building Engineering, 2024 - Elsevier
Carbonation of cementitious materials is one of the most important reasons leading to the
deterioration of steel-reinforced concrete structures. After years of research, different models …