Prediction of flexible pavement 3-D finite element responses using Bayesian neural networks-Reference-Cited by-同舟云学术

Prediction of flexible pavement 3-D finite element responses using Bayesian neural networks

Published:2021-10-29 Issue: Volume: Page:1-11
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Okte Egemen¹^ORCID,Al-Qadi Imad L.¹^ORCID

Affiliation:

1. Illinois Center for Transportation, University of Illinois at Urbana-Champaign, Urbana, IL, USA

Publisher

Informa UK Limited

Subject

Mechanics of Materials,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2021.1993219

Reference36 articles.

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3. ARA, Inc., 2004. Guide for mechanistic–empirical design of new and rehabilitated pavement structures. Transportation Research Board of the National Academies, NCHRP Project 1–37A.

4. Uncertainty Quantification through Dropout in Time Series Prediction by Echo State Networks

5. Bao, Y. et al., 2020. Data-driven concrete damage diagnosis with thermal imaging and vibration testing. Thesis (PhD). Vanderbilt University.

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