Machine learning in concrete technology: A review of current researches, trends, and applications
Y Gamil - Frontiers in Built Environment, 2023 - frontiersin.org
Machine learning techniques have been used in different fields of concrete technology to
characterize the materials based on image processing techniques, develop the concrete mix …
characterize the materials based on image processing techniques, develop the concrete mix …
Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend
R Kazemi - Engineering Reports, 2023 - Wiley Online Library
Advanced concrete technology is the science of efficient, cost‐effective, and safe design in
civil engineering projects. Engineers and concrete designers are generally faced with the …
civil engineering projects. Engineers and concrete designers are generally faced with the …
Electrical conductivity and heating performance of hybrid steel fiber-reinforced SCC: The role of high-volume fiber and micro fiber length
Recently, it has become very popular to develop electrically conductive concrete composites
for active deicing and snow-melting of transportation infrastructure. These composites …
for active deicing and snow-melting of transportation infrastructure. These composites …
Prediction and uncertainty quantification of ultimate bond strength between UHPC and reinforcing steel bar using a hybrid machine learning approach
The composite action of the reinforcing bars in the UHPC involves complex and nonlinear
mechanisms. Inadequate knowledge of their interaction may lead to insufficient bond …
mechanisms. Inadequate knowledge of their interaction may lead to insufficient bond …
Investigation of optimized machine learning models with PSO for forecasting the shear capacity of steel fiber-reinforced SCC beams with/out stirrups
This article presents a comprehensive investigation of the applicability of optimized machine
learning (ML) models with particle swarm optimization (PSO) for forecasting the shear …
learning (ML) models with particle swarm optimization (PSO) for forecasting the shear …
Improvement of fresh and hardened properties of a sustainable HFRSCC using various powders as multi-blended binders
Hybrid fiber-reinforced self-compacting concrete (HFRSCC) has been very popular in recent
years due to its high mechanical, durability and flexural performance. HFRSCC properties …
years due to its high mechanical, durability and flexural performance. HFRSCC properties …
[HTML][HTML] Formwork pressure prediction in cast-in-place self-compacting concrete using deep learning
The prediction of formwork pressure exerted by self-compacting concrete (SCC) remains a
challenge not only to researchers but also to engineers and contractors on the construction …
challenge not only to researchers but also to engineers and contractors on the construction …
Forecasting the compressive strength of GGBFS-based geopolymer concrete via ensemble predictive models
The compressive strength (fc) of the concrete is an important parameter in the structural
design. However, the assessment of fc via an experimental program is time-consuming …
design. However, the assessment of fc via an experimental program is time-consuming …
Data-driven moment-carrying capacity prediction of hybrid beams consisting of UHPC-NSC using machine learning-based models
This paper presents, for the first time in the literature, a study on the development of data-
driven machine learning (ML) models to predict the moment-carrying capacity of ultra-high …
driven machine learning (ML) models to predict the moment-carrying capacity of ultra-high …
Data-driven machine learning approaches for predicting slump of fiber-reinforced concrete containing waste rubber and recycled aggregate
This research investigates the slump behavior of fiber-reinforced rubberized recycled
aggregate concrete (FR 3 C) and its significance in the concrete industry. The fresh …
aggregate concrete (FR 3 C) and its significance in the concrete industry. The fresh …