| Autor: |
Al-Gburi, Majid A., Jonasson, Jan-Erik, Nilsson, Martin |
| Předmět: |
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| Zdroj: |
Structural Engineering International; Aug2015, Vol. 25 Issue 3, p258-265, 8p |
| Abstrakt: |
Estimation of restraint is very important for accurate prediction of the risk of concrete cracking at early age. This study predicts the restraint in 324 walls and 972 roofs of concrete culverts. A parametric study included the thickness and width of the roofs, thickness and height of the walls, thickness and width of the slab and length of the structures. Each parameter increased or decreased the restraint in the walls and the roofs. The calculation of the restraint was done elastically by the finite element (FE) method. The results were used by an artificial neural network (ANN) tool, where, first, an influential percentage was investigated as input parameter on the restraint prediction. Equations were derived by the ANN model to calculate the restraint in the walls and the roofs. It was then used in a spreadsheet to calculate the restraint and compare the result with the result from the FE calculations, which showed a good agreement between the ANN model and the FE calculations. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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