A Non-Destructive Pavement Evaluation for the Development of a Multi Distress Regression Model Integrated with the BACKCSA Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanics of Materials,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42947-022-00168-9.pdf
Reference41 articles.
1. Plati, C., Loizos, A., & Gkyrtis, K. (2020). Integration of non-destructive testing methods to assess asphalt pavement thickness. NDT and E International, 115, 102292.
2. Janani, L., Dixit, R. K., Sunitha, V., & Mathew, S. (2020). Prioritisation of pavement maintenance sections deploying functional characteristics of pavements. International Journal of Pavement Engineering, 21, 1815–1822.
3. Premkumar, L., & Vavrik, W. R. (2016). Enhancing pavement performance prediction models for the Illinois Tollway System. International Journal of Pavement Research and Technology, 9, 14–19. https://doi.org/10.1016/j.ijprt.2015.12.002
4. Chundi, V., Raju, S., Kota, S. K., & Singh, K. P. (2021). Prediction of back-calculated layer moduli using cuckoo search algorithm for pavement asset management at a network level. Innovative Infrastructure Solutions, 6, 1–15.
5. Gupta, A., Kumar, P., & Rastogi, R. (2011). Pavement deterioration and maintenance model for low volume roads. International Journal of Pavement Research and Technology, 4, 195–202. https://doi.org/10.6135/ijprt.org.tw/2011.4(4).195
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