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首页> 外文期刊>Journal of Hydroinformatics >Estimation of current-induced pile groups scour using a rule-based method
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Estimation of current-induced pile groups scour using a rule-based method

机译：使用基于规则的方法估算桩基冲刷电流

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摘要

Scour phenomenon around piles could endanger the stability of the structures placed on them. Therefore, an accurate estimation of the scour depth around piles is very important for engineers. Due to the complexity of the interaction between the current, seabed and pile group; prediction of the scour depth is a difficult task and the available empirical formulas have limited accuracy. Recently, soft computing methods such as artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS) have been used for the prediction of the scour depth. However, these methods do not give enough insight into the generated models and are not as easy to use as the empirical formulas, in this study, new formulas are given that are compact, accurate and physically sound, in comparison with the other soft computing methods, this approach is more transparent and robust. Comparison between the developed formulas and previous empirical formulas showed the superiority of the developed ones in terms of accuracy. In addition, the given formulas can be easily used by engineers to estimate the scour depth around pile groups. Moreover, in this study, design factors are given for different levels of acceptable risks, which can be useful for design purposes.
机译：桩周围的冲刷现象可能危及放置在桩上的结构的稳定性。因此，准确估算桩周围的冲刷深度对工程师来说非常重要。由于海流，海床和桩群之间相互作用的复杂性；冲刷深度的预测是一项艰巨的任务，可用的经验公式的准确性有限。近来，诸如人工神经网络（ANN）和自适应神经模糊推理系统（ANFIS）之类的软计算方法已经用于冲刷深度的预测。但是，这些方法对生成的模型没有足够的洞察力，并且不如经验公式容易使用，在本研究中，与其他软计算方法相比，给出了紧凑，准确且物理上合理的新公式，这种方法更加透明和健壮。所开发的公式与先前的经验公式之间的比较表明，所开发的公式在准确性方面具有优势。此外，工程师可以轻松使用给定的公式来估算桩群周围的冲刷深度。此外，在这项研究中，针对不同程度的可接受风险给出了设计因素，这对于设计目的很有用。

著录项

  • 来源
    《Journal of Hydroinformatics》 |2013年第2期|516-528|共13页
  • 作者

    N. Ghaemi; A. Etemad-Shahidi; B. Ataie-Ashtiani;

  • 作者单位

    School of Civil Engineering, Iran University of Science and Technology, Tehran,Iran,P.O. Box 16765-163;

    School of Civil Engineering, Iran University of Science and Technology, Tehran,Iran,P.O. Box 16765-163;

    Griffith School of Engineering,Gold coast Campus,Griffith University,QLD, 4222,Department of Civil Engineering,Sharif University of Technology,Tehran,Iran;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    model tree; pile group; probabilistic design; scour depth; soft computing;

    机译：模型树;桩组;概率设计;冲刷深度;软计算;

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