Using ANN to Predict The Ultimate Bearing Capacity of Precast Reinforced Concrete Piles
Meng Xiao-min
Abstract
Meng Xiao-min
Abstract
The traditional methods for predicting the ultimate bearing capacity of precast reinforced concrete piles can not consider the fuzziness and inter-influence of the factors influencing the ultimate bearing capacity.ANN was used to establish an ANN based approach for predicting the ultimate bearing capacity of precast reinforced concrete piles.41 examples of precast reinforced concrete piles were accumulated from an area in China.37 examples of them were used to build a new prediction model for the ultimate bearing capacity.The model was then used to predict the ultimate bearing capacity of the rest 4 examples.A comparison was conducted between the predicted results and the practical measurements.The comparison results show that the approach has enough accuracy to meet demands of engineering completly.
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The traditional methods for predicting the ultimate bearing capacity of precast reinforced concrete piles can not consider the fuzziness and inter-influence of the factors influencing the ultimate bearing capacity.ANN was used to establish an ANN based approach for predicting the ultimate bearing capacity of precast reinforced concrete piles.41 examples of precast reinforced concrete piles were accumulated from an area in China.37 examples of them were used to build a new prediction model for the ultimate bearing capacity.The model was then used to predict the ultimate bearing capacity of the rest 4 examples.A comparison was conducted between the predicted results and the practical measurements.The comparison results show that the approach has enough accuracy to meet demands of engineering completly.
Key concepts: Precast concrete, Bearing capacity, Bearing (navigation), Structural engineering, Geotechnical engineering, Computer science, Reinforced concrete, Engineering