Predicting CBR values using gaussian process regression and meta-heuristic algorithms in geotechnical engineering

The California Bearing Ratio (CBR) test is a vital tool in geotechnical engineering and is useful in controlled laboratory settings and dynamic field applications. It plays a pivotal role in determining the load-bearing properties of subgrade soil, which is essential for various construction project...

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Vydané v:	Multiscale and Multidisciplinary Modeling, Experiments and Design Ročník 7; číslo 4; s. 3799 - 3813
Hlavní autori:	Wu, Xu, Yang, Feng, Huang, Shuchen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.09.2024
Predmet:	Characterization and Evaluation of Materials Engineering Mathematical Applications in the Physical Sciences Mechanical Engineering Numerical and Computational Physics Original Paper Simulation Solid Mechanics Gaussian process regression Leader Harris Hawk’s optimization California bearing ratio Dynamic arithmetic optimization algorithm
ISSN:	2520-8160, 2520-8179
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