Development of Enhanced Stress Prediction Models for Fixed Traffic Loads on Flexible Pavements Based on Response Surface Methodology (RSM) and Machine Learning (ML) Techniques

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Development of Enhanced Stress Prediction Models for Fixed Traffic Loads on Flexible Pavements Based on Response Surface Methodology (RSM) and Machine Learning (ML) Techniques

Pavement design is influenced by traffic load, which affects its lifespan. Traditional methods classify traffic load into fixed traffic, fixed vehicle, variable traffic, and vehicle/axle loads. In fixed traffic, pavement thickness is based on the maximum expected wheel load without considering load...

書誌詳細
出版年:	APPLIED SCIENCES-BASEL
主要な著者:	Alnadish, Adham Mohammed; Ramu, Madhusudhan Bangalore; Baarimah, Abdullah O.; Alawag, Aawag Mohsen
フォーマット:	論文
言語:	English
出版事項:	MDPI 2025
主題:	Chemistry; Engineering; Materials Science; Physics
オンライン･アクセス:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001418438900001

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