Soft computing based formulations for prediction of compressive strength of sustainable concrete: a comprehensive review

Garg, Chakshu; Singhal, Abhishek; Singh, Priyanka; Namdeo, Aman; Kumar, Jaynendra

doi:10.1007/s41062-022-00754-7

Cited by 1 publication

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“…It was concluded that ML techniques could examine the roles of several variables on compressive strength and decrease the cost and environmental impact of experimental works. Recently a review was conducted by Garg et al 18 in 2022 by reviewing 27 articles, investigating the applications of ML techniques to predict the compressive strength of sustainable concrete including, HPC (six articles), RAC (five articles), SCC (three articles), and other types of concrete (13 articles). Despite the research done in this field, there is a lack of comprehensive review focused on the scientometric analysis in the field of using AI techniques in concrete technology, and thereby it calls for the need to fulfill it.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend

Kazemi

2023

Engineering Reports

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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 real‐world problems in concrete technology. Despite the large body of publications in this field, there are few comprehensive surveys that conduct scientometric analysis. This paper provides a state‐of‐the‐art review that lists, summarizes, and categorizes the most widely used machine learning methods, meta‐heuristic algorithms, and hybrid approaches to concrete issues. To this end, 457 publications are considered during the recent decade with a scientometric approach to highlight the annual trend/active journals/top researchers/co‐occurrence of key title words/countries' participation/research hotspots. In addition, AI techniques are classified into distinct clusters using VOSviewer clustering visualization to identify the application scope and their relationship through the link strength. The findings can be a beacon to help researchers utilize AI techniques in future research on advanced concrete technology.

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Section: Introductionmentioning

confidence: 99%

Soft computing based formulations for prediction of compressive strength of sustainable concrete: a comprehensive review

Cited by 1 publication

References 103 publications

Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend

Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend

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