基于人工神经网络的路面破损国际粗糙度指数研究

International Journal of Advanced Engineering and Business Sciences Pub Date : 2023-02-01 DOI:10.21608/ijaebs.2023.165192.1054

A. Ali, Mohamed Esekbi, M. Sreh

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引用次数: 0

摘要

粗糙指数预测是优化路面修复和处理方案的必要条件。本研究的主要目的是研究路面破损对路面性能的影响，并建立美国干燥无冻结地区的国际粗糙度指数模型(IRI)

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Development of International Roughness Index from Pavement Distress Using Artificial Neural Networks (ANNs)

Roughness index forecasts are essential for optimizing pavement rehabilitation and treatment programs. The main objective of this study is to investigate the effect of pavement distress on pavement performance and develop International Roughness Index models (IRI) for dry no freeze regions in the U

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International Journal of Advanced Engineering and Business Sciences

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