Prediction model for bridge pier local scour depth based on support vector machine
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TV131.4

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    Abstract:

    A model based on support vector machine (SVM) was developed for predicting the local scour depth around circular piers. The model was trained by 440 experimental local scour data of circular pier foundation under the condition of steady flow. The sensitivity of the factors affecting the scour depth was also evaluated. The results show a good agreement between the predicted scour depth and the measured value, indicting the applicability and effectiveness of the developed model. The developed model is sensitive to the geometric standard deviation of sediment and flow intensity.

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潘志刚,林祥峰,张继生.基于支持向量机的桥墩局部冲刷深度预测模型[J].水利水电科技进展,2021,41(6):78-81.(PAN Zhigang, LIN Xiangfeng, ZHANG Jisheng. Prediction model for bridge pier local scour depth based on support vector machine[J]. Advances in Science and Technology of Water Resources,2021,41(6):78-81.(in Chinese))

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  • Received:
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  • Online: November 23,2021
  • Published: November 10,2021
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