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aquifer parameter identification
相关语句
  含水层参数识别
     Application of fast simulated annealing algorithm in aquifer parameter identification
     快速模拟退火算法在含水层参数识别中的应用
短句来源
  含水层参数反演
     An application of decimal strings genetic algorithm for aquifer parameter identification is discussed as an example of the well model near the linear impervious boundary, and compared with the binary strings algorithm.
     以直线隔水边界附近的井流模型为例,讨论了十进制遗传算法在含水层参数反演中的应用,并与二进制遗传算法的进行比较。
短句来源
  含水层参的反演
     The problem of aquifer parameter identification is actually a complex nonlinear program. With the limit of the ability of convergence of the binary strings genetic algorithm, the decimal strings genetic algorithm is proposed for identifying the aquifer parameters.
     含水层参的反演是一个复杂的非线性优化问题,针对传统二进制遗传算法收敛性能差的缺陷,提出了反演含水层参数的十进制遗传算法。
短句来源
  “aquifer parameter identification”译为未确定词的双语例句
     Application of artificial neural networks in unconfined aquifer parameter identification based on the Boulton theory
     BP神经网络在BOULTON法确定潜水含水层参数中的应用
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    The aquifer parameter identification has been studied with normalized least square method. The unsteady problem was overcome through reasonably selecting normalized Parameters in the parameter identification. The nonuniqueness of the inverse solution has been solved by means of reasonably selecting measurement points and adding flow quality condition. The numerical computation results show that the error of parameter identification is not greater than 1% under the measurement...

    The aquifer parameter identification has been studied with normalized least square method. The unsteady problem was overcome through reasonably selecting normalized Parameters in the parameter identification. The nonuniqueness of the inverse solution has been solved by means of reasonably selecting measurement points and adding flow quality condition. The numerical computation results show that the error of parameter identification is not greater than 1% under the measurement error 1 cm~2 cm.

    采用正则化最小二乘方法研究了含水层参数识别问题.通过合理选取正则化参数能够解决参数识别中的不稳定问题.同时通过合理布置水头观测点的位置和补充流量条件解决了参数识别中的唯一性问题.数值计算结果表明,在水头观测误差为1cm~2cm的条件下,参数识别结果的误差不超过1%.

    Based upon in-situ measured data of seepage of Fengman concrete gravity dam and making use of the least square method, the permeable coefficients of the concrete dam and rock basement are identified. The seepage fields are studied with finite element method based on the identification results of aquifer parameters. The free surface positions are determined with compressing mesh method and iteration procedure. Aquifer parameter identification is made by means of iteration procedure. The...

    Based upon in-situ measured data of seepage of Fengman concrete gravity dam and making use of the least square method, the permeable coefficients of the concrete dam and rock basement are identified. The seepage fields are studied with finite element method based on the identification results of aquifer parameters. The free surface positions are determined with compressing mesh method and iteration procedure. Aquifer parameter identification is made by means of iteration procedure. The search directions are determined with Levenberg-Marqua- rdt procedure. The practical application shows that the presented study of three dimensional seepage field with free surface and the identification procedure of aquifer parameters are available.

    根据丰满混凝土重力坝现场渗流观测资料数据,采用非线性最小二乘法识别坝体混凝土和坝基岩石的渗透系数。基于大坝渗透系数的识别结果,采用三维有限元法分析了大坝坝体和坝基的渗流场。渗流场自由面位置的确定采用压缩网格法,经迭代求得。大坝渗透系数识别采用迭代方法进行,其中搜索方向由Levenberg-Marquardt法确定。工程实际应用表明,所提出的三维非承压水渗流场分析和大坝渗透系数识别方法是非常有效的。

    The problem of aquifer parameter identification is actually a complex nonlinear program. With the limit of the ability of convergence of the binary strings genetic algorithm, the decimal strings genetic algorithm is proposed for identifying the aquifer parameters. An application of decimal strings genetic algorithm for aquifer parameter identification is discussed as an example of the well model near the linear impervious boundary, and compared with the binary strings algorithm. Application...

    The problem of aquifer parameter identification is actually a complex nonlinear program. With the limit of the ability of convergence of the binary strings genetic algorithm, the decimal strings genetic algorithm is proposed for identifying the aquifer parameters. An application of decimal strings genetic algorithm for aquifer parameter identification is discussed as an example of the well model near the linear impervious boundary, and compared with the binary strings algorithm. Application of the method to the published data shows the proposed method is not only applicable, but has higher accuracy and better determinacy. It is also shown from this paper that compared to the binary strings genetic algorithm, the decimal strings genetic algorithm can be natural to represent the problem to be studied, easy to introduce relative area knowledge, and has high efficiency, especially for multi-dimensional optimization problem.

    含水层参的反演是一个复杂的非线性优化问题,针对传统二进制遗传算法收敛性能差的缺陷,提出了反演含水层参数的十进制遗传算法。以直线隔水边界附近的井流模型为例,讨论了十进制遗传算法在含水层参数反演中的应用,并与二进制遗传算法的进行比较。结果表明,该方法在含水层参数的反演中不仅是可行的,而且具有较好的确定性和较高的精度;与二进制遗传算法相比,十进制遗传算法的收敛性较好,省时高效,且表示较为自然,容易引入相关领域知识。同时,结合实例的分析结果得出种群的规模对算法的收敛性没有明显的影响。

     
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