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 …

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 …

Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach

J Rahman, KS Ahmed, NI Khan, K Islam… - Engineering …, 2021 - Elsevier
The incorporation of steel fibers in a concrete mix enhances the shear capacity of reinforced
concrete beams and a comprehensive understanding of this phenomenon is imperative to …

Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment

M Iqbal, D Zhang, FE Jalal, MF Javed - Ocean Engineering, 2021 - Elsevier
Based on a comprehensive literature study, the potential variables that can affect the
durability of GFRP bars under a harsh alkaline environment especially seawater and sea …

Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

G Gui, H Pan, Z Lin, Y Li, Z Yuan - KSCE Journal of Civil Engineering, 2017 - Springer
Rapid detecting damages/defeats in the large-scale civil engineering structures, assessing
their conditions and timely decision making are crucial to ensure their health and ultimately …

Predicting compressive strength of concrete containing recycled aggregate using modified ANN with different optimization algorithms

A Kandiri, F Sartipi, M Kioumarsi - Applied Sciences, 2021 - mdpi.com
Using recycled aggregate in concrete is one of the best ways to reduce construction
pollution and prevent the exploitation of natural resources to provide the needed aggregate …

[HTML][HTML] Forecasting the strength characteristics of concrete incorporating waste foundry sand using advance machine algorithms including deep learning

R Alyousef, M Khan, K Arif, M Fawad… - Case Studies in …, 2023 - Elsevier
The incorporation of waste foundry sand (WFS) into concrete has been recognized as a
sustainable approach to improve the strength properties of waste foundry sand concrete …

Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm

SH Wang, P Phillips, ZC Dong, YD Zhang - Neurocomputing, 2018 - Elsevier
Aim Emotion recognition based on facial expression is an important field in affective
computing. Current emotion recognition systems may suffer from two shortcomings …

[BOOK][B] Materials selection for natural fiber composites

FM Al-Oqla, SM Sapuan - 2017 - books.google.com
Materials Selection for Natural Fiber Composites covers the use of various tools and
techniques that can be applied for natural fiber composite selection to expand the …

Selected AI optimization techniques and applications in geotechnical engineering

KC Onyelowe, FF Mojtahedi, AM Ebid… - Cogent …, 2023 - Taylor & Francis
In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …