Using artificial neural networks to predict the 28-day compressive strength of roller-compacted concrete pavements containing RAP aggregates
| Autor: | Solomon Debbarma, G. D. Ransinchung R.N. |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
Roller-compacted concrete Materials science Compressive strength Artificial neural network Asphalt pavement 021105 building & construction 0502 economics and business 05 social sciences 0211 other engineering and technologies Geotechnical engineering 02 engineering and technology Civil and Structural Engineering |
| Zdroj: | Road Materials and Pavement Design. 23:149-167 |
| ISSN: | 2164-7402 1468-0629 |
| DOI: | 10.1080/14680629.2020.1822202 |
| Popis: | This paper presents an Artificial Neural Network (ANN) model to predict the 28-day compressive strength of roller-compacted concrete pavement (RCCP) mixes containing reclaimed asphalt pavement (RAP... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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