Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review

SD Datta, M Islam, MHR Sobuz, S Ahmed, M Kar - Heliyon, 2024 - cell.com
The construction industry faces many challenges, including schedule and cost overruns,
productivity constraints, and workforce shortages. Compared to other sectors, it lags in …

[HTML][HTML] Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses

A Kashem, R Karim, SC Malo, P Das, SD Datta… - Case Studies in …, 2024 - Elsevier
Ultra-high-performance concrete (UHPC) is a cutting-edge and advanced construction
material known for its exceptional mechanical properties and durability. Recently, machine …

[HTML][HTML] Fresh, hardened, durability and microstructure properties of seawater concrete: A systematic review

AM Mohamed, BA Tayeh, SS Majeed, YIA Aisheh… - Journal of CO2 …, 2024 - Elsevier
Seawater concrete (SWC) is an environmentally friendly construction material that
addresses freshwater scarcity concerns by utilising seawater as a mixing water source. This …

[HTML][HTML] Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric …

A Kashem, R Karim, P Das, SD Datta… - Case Studies in …, 2024 - Elsevier
The construction industry is making efforts to reduce the environmental impact of cement
production in concrete by incorporating alternative and supplementary cementitious …

Performance evaluation of concrete made with plastic waste using multi-expression programming

U Asif, MF Javed, M Alyami, AWA Hammad - Materials Today …, 2024 - Elsevier
The immense production of plastic waste due to its non-biodegradable nature has become a
major issue for the world. Several researchers have recently tried to incorporate plastic …

Indirect prediction of graphene nanoplatelets-reinforced cementitious composites compressive strength by using machine learning approaches

M Fawad, H Alabduljabbar, F Farooq, T Najeh… - Scientific Reports, 2024 - nature.com
Graphene nanoplatelets (GrNs) emerge as promising conductive fillers to significantly
enhance the electrical conductivity and strength of cementitious composites, contributing to …

[HTML][HTML] Ultra-light foamed concrete mechanical properties and thermal insulation perspective: A comprehensive review

AM Mohamed, BA Tayeh, SS Majeed, YIA Aisheh… - Journal of CO2 …, 2024 - Elsevier
Ultra-lightweight foam concrete (ULFC) is a relatively new construction material that has
gained attention recently due to its unique properties. This material is not very heavy and …

Spatio-temporal prediction of total energy consumption in multiple regions using explainable deep neural network

S Peng, L Fan, L Zhang, H Su, Y He, Q He, X Wang… - Energy, 2024 - Elsevier
Energy consumption forecasting is essential for energy system integration and
management. However, existing studies mainly focus on temporal features of energy …

The remarkable potential of machine learning algorithms in estimating water permeability of concrete incorporating nano natural pozzolana

S Alsubai, A Alqahtani, S Hashim Muhodir, A Alanazi… - Scientific Reports, 2024 - nature.com
This paper aims to estimate the permeability of concrete by replacing the laboratory tests
with robust machine learning (ML)-based models. For this purpose, the potential of twelve …

Enhancement fracture behavior of sustainable cementitious composites using synergy between fly ash (FA) and nanosilica (NS) in the assessment based on digital …

GL Golewski - Theoretical and Applied Fracture Mechanics, 2024 - Elsevier
The present study has investigated the strength properties and fracture toughness of
concrete composites reinforced 5% nanosilica (NS) by adding different contents of fly ash …