应用人工神经网络评价注浆效果的研究

T. Kawamura, T. Yausda, M. Matsushima, N. Yasuda, K. Kumagai, T. Iijima
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引用次数: 0

摘要

对灌浆工程的水密性改善进行定量评价,对大坝建设规划和施工管理具有重要意义。本文提出了一种基于神经网络的电阻率评价系统建模方法。利用该系统进行了灵敏度分析。通过以上分析,可以用岩体注浆状态与电阻率变化的关系模型来描述试验过程和工程师的感觉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on evaluation of grouting effects using artificial neural network
For planning of dam construction and management of construction, it is important to quantitatively evaluate grouting works on improvement of water tightness. The paper proposes that an evaluation system can be modeled based on a neural network using resistivity data measured on site. Sensitivity analysis is carried out using this system. From the above analysis, an experimental process and the sense of an engineer can be described with the model of the relationship between the variation of resistivity and the states of grouting put into rock mass.
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