Estimation of California bearing ratio for hill highways using advanced hybrid artificial neural network algorithms

California bearing ratio (CBR) is one of the important parameters that is used to express the strength of the pavement subgrade of railways, roadways, and airport runways. CBR is usually determined in the laboratory in soaked and unsoaked conditions, which is an exhaustive and time-consuming process...

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Veröffentlicht in:	Multiscale and Multidisciplinary Modeling, Experiments and Design Jg. 7; H. 2; S. 1119 - 1144
Hauptverfasser:	Thapa, Ishwor, Ghani, Sufyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.06.2024
Schlagworte:	Characterization and Evaluation of Materials Engineering Mathematical Applications in the Physical Sciences Mechanical Engineering Numerical and Computational Physics Original Paper Simulation Solid Mechanics Statistical parameters California bearing ratio Order analysis Artificial intelligence Gradient-based optimizer
ISSN:	2520-8160, 2520-8179
Online-Zugang:	Volltext
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