Machine learning for structural engineering: A state-of-the-art review

HT Thai - Structures, 2022 - Elsevier
Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

A comprehensive review on the application of renewable waste tire rubbers and fibers in sustainable concrete

MMU Islam, J Li, R Roychand, M Saberian… - Journal of Cleaner …, 2022 - Elsevier
Modern civilization is currently steering toward sustainability due to environmental issues,
such as the diminution of natural resources and the spawning of enormous wastes. Waste …

High-performance concrete strength prediction based on ensemble learning

QF Li, ZM Song - Construction and Building Materials, 2022 - Elsevier
The compressive strength and tensile strength of high-performance concrete (HPC) are
important mechanical property indexes. However, the related mechanical tests are time …

Data-driven estimation models of asphalt mixtures dynamic modulus using ANN, GP and combinatorial GMDH approaches

D Rezazadeh Eidgahee, H Jahangir, N Solatifar… - Neural Computing and …, 2022 - Springer
The objective of the present study is to develop and evaluate machine learning-based
prediction models, employing the artificial neural networks (ANNs), Genetic Programming …

Production scheduling of off-site prefabricated construction components considering sequence dependent due dates

M Yazdani, K Kabirifar, AM Fathollahi-Fard… - … Science and Pollution …, 2021 - Springer
The growing environmental concerns, excessive utilization of natural resources, and high
energy consumption have put a severe pressure on the construction industry to adopt new …

Experimental study on freeze-thaw failure of concrete incorporating waste tire crumb rubber and analytical evaluation of frost resistance

X Han, N Ding, A Chen, Z Wang, Y Xu, L Feng… - … and Building Materials, 2024 - Elsevier
The incorporation of waste tire crumb rubber into concrete in appropriate size and content
not only facilitates the recycling and safe disposal of waste tires but also enhances concrete …

Pre-and post-heating bar-concrete bond behavior of CFRP-wrapped concrete containing polymeric aggregates and steel fibers: experimental and theoretical study

M Nematzadeh, A Arjomandi, M Fakoor, A Aminian… - Engineering …, 2024 - Elsevier
The present research attempted to explore the impact of steel fibers and carbon fiber-
reinforced polymer (CFRP) sheets on the pre-and post-heating bond behavior of steel bars …

Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete

R Biswas, A Bardhan, P Samui, B Rai… - Computers and …, 2021 - koreascience.kr
In the recent year, extensive researches have been done on fly ash-based geopolymer
concrete for its similar properties like Portland cement as well as its environmental …

An evolutionary approach for formulation of ultimate shear strength of steel fiber-reinforced concrete beams using gene expression programming

H Sabetifar, M Nematzadeh - Structures, 2021 - Elsevier
This paper presents a semi-empirical model to estimate the ultimate shear strength of steel
fiber-reinforced concrete (SFRC) beams without shear reinforcement using the gene …

Post-fire flexural performance and microstructure of steel fiber-reinforced concrete with recycled nylon granules and zeolite substitution

M Tayebi, M Nematzadeh - Structures, 2021 - Elsevier
Polymer wastes are categorized as highly recyclable materials from various aspects. An
effective way to recycle these materials is to utilize them in the concrete industry to replace …