A Comprehensive Study on the Estimation of Concrete Compressive Strength Using Machine Learning Models

Buildings, Journal Year: 2024, Volume and Issue: 14(12), P. 3851 - 3851

Published: Nov. 30, 2024

Conducting comprehensive analyses to predict concrete compressive strength is crucial for enhancing safety in field applications and optimizing work processes. There an extensive body of research the literature focusing on predicting mechanical properties concrete, such as strength. Summarizing key contributions these studies will serve a guide future research. To this end, study aims conduct scientometric analysis that utilize machine learning (ML) models strength, assess models, provide insights developing optimal solutions. Additionally, it seeks offer researchers information prominent themes, trends, gaps regarding prediction. For purpose, 2319 articles addressing prediction published between 2000 19 August 2024, were identified through Scopus Database. Scientometric conducted using VOSviewer software. The evaluation relevant demonstrates ML are frequently used advantages limitations examined, with particular emphasis considerations when working complex datasets. A their practical distinguishes from existing This contributes significantly by examining leading institutions, countries, authors, sources field, synthesizing data, identifying areas, gaps, trends It establishes strong foundation design ML-supported, reliable, sustainable, optimized structural systems civil engineering, building materials, industry.

Language: Английский

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Design and Preparation Technology of Green Multiple Solid Waste Cementitious Materials

Materials, Journal Year: 2024, Volume and Issue: 17(9), P. 1998 - 1998

Published: April 25, 2024

For solid waste-based cementitious materials, most scholars focus their research on the hydration reaction of but there is still a lack waste design that comprehensively considers mechanical properties and durability. Therefore, this article focuses exploring mix microscopic macroscopic multi materials (MSWCMs), namely steel slag (SS), powder (SP), desulfurization gypsum (DG), fly ash (FA), ordinary Portland cement (OPC). According to orthogonal experimental results, compressive strength MSWCMs optimal when OPC content 50% SS, SP, DG, FA contents are 10%, 20%, 5%, 15%, respectively. The group with an 25% was selected as control group. pure used blank group, ratio had 28-day 50.7 megapascals, which 14% 7.6% higher than drying shrinkage rate resistance chloride ions were also significantly improved, maximum increases 22.9%, 22.6%, 8.9%, 9.8%, XRD, TG-DTG, NMR testing, improvement in performance can be attributed synergistic effect between various wastes. This produces more ettringite (AFt) C-(A)-S-H gel. study provides good theoretical basis for improving comprehensive conducive reducing use cement, significant economic environmental benefits.

Language: Английский

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Investigation of the Mechanical Properties of Sisal Fiber Reinforced Pervious Concrete

Published: April 2, 2024

Language: Английский

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Progressive collapse response and ultimate strength evaluation of stiffened plates with welding residual stress under combined biaxial cyclic loads and lateral pressure

Marine Structures, Journal Year: 2024, Volume and Issue: 99, P. 103703 - 103703

Published: Oct. 10, 2024

Language: Английский

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