2023
DOI: 10.1002/eng2.12676
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Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend

Abstract: 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 slightest change in the conditions or objectives of the project, which makes it challenging to choose the optimal design among several ones. Besides, the experimental examination of all of them requires time and high costs. Hence, an efficient approach is to utilize artificial intelligence (AI) techniques to predict and optimize r… Show more

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Cited by 11 publications
(4 citation statements)
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“…Machine learning techniques have gained signi cant traction in recent years for their ability to predict the mechanical properties of construction materials such as conventional concrete [14,15], self-compacting concrete [16], pervious concrete [17,18], masonry [19,20], etc. Machine learning is expected to continue growing in the construction industry, playing a signi cant role in understanding, predicting, and optimizing the compressive strength of various construction materials, leading to more e cient, sustainable, and robust construction practices [21].…”
Section: Introductionmentioning
confidence: 99%
“…Machine learning techniques have gained signi cant traction in recent years for their ability to predict the mechanical properties of construction materials such as conventional concrete [14,15], self-compacting concrete [16], pervious concrete [17,18], masonry [19,20], etc. Machine learning is expected to continue growing in the construction industry, playing a signi cant role in understanding, predicting, and optimizing the compressive strength of various construction materials, leading to more e cient, sustainable, and robust construction practices [21].…”
Section: Introductionmentioning
confidence: 99%
“…The use of FOS techniques in SHM systems for civil infrastructure is widespread due to its ability to identify defects and evaluate service performance for sustainable infrastructure. A review of this area is necessary to gain a comprehensive overview of its development, given the high volume of published articles and increasing research trends [24].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, ANN was used to predict the bond strength in basalt FRP-reinforced self-compacting geopolymer concrete and the dynamic properties of concrete [30,31]. The ability of the ANN to solve complex issues within concrete technology as well as its broad applicability over these diverse applications is demonstrated [32]. This study implements more complex techniques, such as ANN, to forecast the performance of concrete containing crushed glass as both fine and coarse aggregates.…”
Section: Introductionmentioning
confidence: 99%