Prediction of Thermal Cracks in Pavements Using Artificial Neural Network Modeling
Author:
Affiliation:
1. Associate Professor, Dept. of Civil Engineering and Construction, Bradley Univ., Peoria, IL.
2. Formerly, Undergraduate Student, Dept. of Civil Engineering and Construction, Bradley Univ., Peoria, IL.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485538.027
Reference11 articles.
1. Ammari, A. (n.d.). (working paper). MATLAB Code of Artificial Neural Networks Estimation (pp. 1–6).
2. DalSoglio M. S. (2017). Investigation of Bridge Decks. MONTANA DEPARTMENT OF TRANSPORTATION (MDT). Retrieved April 5 2023 from https://www.mdt.mt.gov/publications/docs/brochures/Forensic-Deck-Analysis-Report-2017-04-21.pdf.
3. Das, P. K. (2012). Thermally-induced fracture performance of asphalt mixtures (thesis). School of Architecture and the Built Environment, KTH Royal Institute of Technology, Stockholm.
4. Hossain M. Azam M. Mehta R. Shaik N. Islam M. R. and Tarefder R. (2016). “Determining and Validating Thermal Strain in Asphalt Concrete.” Procedia Engineering International Conference on Sustainable Design Engineering and Construction Tempe Arizona USA May 18-20 Vol. 145 pp. 1036–1043.
5. International Roughness Index Prediction of Flexible Pavements Using Neural Networks
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