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A Deep-Learning Model to Estimate Rigid Pavement Stresses for Top-Down Cracking Airfield Pavement Design

Year: 2024

Type: conference-paper

Source: Proceedings of the International Conference on Concrete Pavements

DOI: 10.33593/e5085b29

Authors: Ali Ashtiani, Timothy Parsons, Adam Amos-Binks, David Brill

Institution: Federal Aviation Administration

Language: English

Topic: Asphalt Pavement Performance Evaluation

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4412435365

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