Cracking performance evaluation and modelling of RAP mixtures containing different recycled materials using deep neural network model-Reference-Cited by-同舟云学术

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Cracking performance evaluation and modelling of RAP mixtures containing different recycled materials using deep neural network model

Published:2023-06-14 Issue: Volume: Page:1-20
ISSN:1468-0629
Container-title:Road Materials and Pavement Design
language:en
Short-container-title:Road Materials and Pavement Design

Author:

Khorshidi Meisam¹,Ameri Mahmoud²,Goli Ahmad³

Affiliation:

1. Department of Civil and Environmental Engineering, University of New Hampshire, Durham, NH, USA

2. Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

3. Department of Transportation, University of Isfahan, Isfahan, Iran

Publisher

Informa UK Limited

Subject

Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/14680629.2023.2222835

Reference51 articles.

1. Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant

2. Cracking performance of rubberized RAP mixtures with Sasobit

3. Impact of high recycled mixed on HMA overlay crack development rate

4. Hybrid life cycle assessment for asphalt mixtures with high RAP content

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