Utilizing Soft Computing Techniques to Estimate the Axial Permanent Deformation of Asphalt Concrete

Rutting is a crucial concern impacting asphalt concrete pavements’ stability and long-term performance, negatively affecting vehicle drivers’ comfort and safety. This research aims to evaluate the permanent deformation of pavement under different traffic and environmental conditions using an Artific...

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Veröffentlicht in:	Applied system innovation Jg. 8; H. 2; S. 26
Hauptverfasser:	Albayati, Amjad H., Jweihan, Yazeed S., Al-Kheetan, Mazen J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.04.2025
Schlagworte:	Aggregates Artificial intelligence Artificial neural networks Asphalt asphalt concrete Asphalt pavements Cement Concrete mixing Concrete pavements Data points Deformation Design parameters Independent variables Load Machine learning Methods Neural networks Physical properties Prediction models Repeated loading rutting Sensitivity analysis Shear tests Soft computing Specific gravity Temperature uniaxial load Viscosity Iraq Baghdad Iraq
ISSN:	2571-5577, 2571-5577
Online-Zugang:	Volltext
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