Predicting Marshall parameters of flexible pavement using support vector machine and genetic programming

[Display omitted] •Developed SVM models to predict the Marshall parameters of base and wearing course.•Simplified expressions were derived to predict the Marshall parameters based on GP.•Parametric analysis was conducted for validation of GP-based models.•Compared the performance of proposed models...

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Veröffentlicht in:	Construction & building materials Jg. 306; S. 124924
Hauptverfasser:	Zhang, Weiguang, Khan, Adnan, Huyan, Ju, Zhong, Jingtao, Peng, Tianyi, Cheng, Hanglin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2021
Schlagworte:	Coarse aggregate to filler percentages ratio Genetic programming and SVM method Marshall parameters prediction Genetic programming and SVM method Coarse aggregate to filler percentages ratio Marshall parameters prediction
ISSN:	0950-0618, 1879-0526
Online-Zugang:	Volltext
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