首页> 外文期刊>Journal of inverse and ill-posed problems >Parameter identification methods of hydraulic models for the study of current water in open channels
【24h】

Parameter identification methods of hydraulic models for the study of current water in open channels

机译:明渠现水研究的水力模型参数辨识方法

获取原文
获取原文并翻译 | 示例
       

摘要

Both adequacy of the mathematical model and accuracy of the initial data define the adequacy of numerical results of the real process. Being the phenomenological model, the model of current water based on one-dimensional Saint-Venant equations has the parameters which cannot be determined within the scope of one-dimensional model. The most important such parameter is, for example, the Chezy coefficient (coefficient of roughness) or the wind stress coefficient. The main difficulty to use the one-dimensional model is that the parameters are hardly measured. In this paper we suggest the numerical method of identification of such hydraulic parameters as the coefficient of roughness, the wind stress coefficient and so on, given the actual measurement data of free surface level or of flow depth. We assume that the flows is gradually varies and describes by the Saint-Venant equations. Also we assume that the identification parameters do not vary on the whole length of the channel. The developed methods are based on the Bellman method of sensitivity and on the modified Newton method which are applied for minimization of the functional of mean square deviation of the calculated parameters of the flow from the measurement data. The examples of recovery of hydraulic parameters, in particular, for real objects are considered.
机译:数学模型的充分性和初始数据的准确性都定义了实际过程的数值结果的充分性。作为现象学模型,基于一维圣维南方程的当前水模型具有在一维模型范围内无法确定的参数。最重要的这样的参数例如是Chezy系数(粗糙度系数)或风应力系数。使用一维模型的主要困难是很难测量参数。在给定自由表面水平或流动深度的实际测量数据的情况下,本文提出了一种识别水力参数的数值方法,例如粗糙度系数,风应力系数等。我们假设流量是逐渐变化的,并由Saint-Venant方程描述。我们还假设识别参数在通道的整个长度上没有变化。所开发的方法基于灵敏度的Bellman方法和改进的Newton方法,这些方法用于最小化根据测量数据计算出的流量参数的均方差函数。考虑了尤其是针对真实物体的液压参数的恢复的示例。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号