Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review
The Unconfined Compressive Strength (UCS) is a significant geotechnical parameter that characterizes the behaviour of soils. However, the conventional method of determining the UCS is often expensive and time-consuming. Also, the determination of UCS by conventional methods is less accurate and reliable because of the maintenance and calibration of instruments. Therefore, many empirical and advanced computational methods have been introduced and established to compute the UCS, and artificial intelligence (AI) is one of them. This study explores AI-based models’ efficacy in predicting UCS for stabilized soils, enhanced by additives or waste materials. Research indicates AI tools reliably predict UCS for stabilized soil, with database quality and quantity influencing prediction accuracy. Still, hybrid approaches outperform conventional, machine, advanced machine, and deep learning methods. This review article will also help PhD researchers develop new research ideas using artificial intelligence in geotechnical engineering.
Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review
The Unconfined Compressive Strength (UCS) is a significant geotechnical parameter that characterizes the behaviour of soils. However, the conventional method of determining the UCS is often expensive and time-consuming. Also, the determination of UCS by conventional methods is less accurate and reliable because of the maintenance and calibration of instruments. Therefore, many empirical and advanced computational methods have been introduced and established to compute the UCS, and artificial intelligence (AI) is one of them. This study explores AI-based models’ efficacy in predicting UCS for stabilized soils, enhanced by additives or waste materials. Research indicates AI tools reliably predict UCS for stabilized soil, with database quality and quantity influencing prediction accuracy. Still, hybrid approaches outperform conventional, machine, advanced machine, and deep learning methods. This review article will also help PhD researchers develop new research ideas using artificial intelligence in geotechnical engineering.
Assessment of Unconfined Compressive Strength of Stabilized Soil Using Artificial Intelligence Tools: A Scientometrics Review
Studies in Systems, Decision and Control
Bekdaş, Gebrail (Herausgeber:in) / Nigdeli, Sinan Melih (Herausgeber:in) / Sari-Ahmed, Billal (Autor:in) / Ghrici, Mohamed (Autor:in) / Benzaamia, Ali (Autor:in) / Khatti, Jitendra (Autor:in)
08.08.2024
18 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
| British Library Online Contents | 2011