Safety and stability control of Mashkid Olia earth dam based on response surface optimization methodology (case study)

IF 1.827 Q2 Earth and Planetary Sciences
Ahad Bagherzadeh Khalkhali, Pooya Izadi
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引用次数: 0

Abstract

In this paper, a specific earth dam in Iran as a case study was selected to introduce a new approach to numerical modeling and safety analysis. First, the dam body and its foundation were accurately modeled in PLAXIS 3D. The datum was collected from official reports. A specific section of the dam and foundation in which some instruments were placed was selected and a comparison of settlements in different parts was made between instrument data and finite element method (FEM) analysis. Since there was no favorable fitting, back analysis seemed to be crucial. Response surface methodology (RSM) was adopted to make some equations that can replace the hardening soil model and be easy to be optimized for desired settlements. Since the runs in the FEM software, PLAXIS 3D would take considerable time and energy, a new approach to use RSM was introduced which is called two-step RSM. It could be seen that if sensitivity analysis is performed on a linear RSM model at first, the second-order model of soil behavior can accurately be predicted with much less effort. Some statistical tests such as \({\sigma }^{2}\) and \({R}_{adj}^{2}\) were considered to prove the adaptability of the new method. Two second-order RSM equations, for both core and shell, were optimized with the help of a genetic algorithm. The results suggested an acceptable fit when compared to instrumental data. Four water level scenarios were selected to run a Safety analysis on the most significant section of the dam which yielded the factors in the favorable ranges.

Graphical Abstract

基于响应面优化方法的Mashkid Olia土坝安全稳定控制(以实例为例)
本文以伊朗某土坝为例,介绍了一种新的数值模拟和安全分析方法。首先,利用PLAXIS 3D软件对坝体和坝基进行精确建模。资料是从官方报告中收集的。选取放置仪器的坝基特定断面,将仪器数据与有限元分析结果进行对比。由于没有合适的拟合,反向分析似乎至关重要。采用响应面法(Response surface methodology, RSM)建立了一些可以代替硬化土模型,且易于优化的沉降方程。由于在有限元软件PLAXIS 3D中运行需要大量的时间和精力,因此提出了一种新的RSM方法,即两步RSM。可以看出,如果首先对线性RSM模型进行敏感性分析,则可以以较少的努力准确地预测土体的二阶模型。通过\({\sigma }^{2}\)和\({R}_{adj}^{2}\)等统计检验,证明了新方法的适应性。利用遗传算法对核和壳两个二阶RSM方程进行了优化。与仪器数据相比,结果表明可接受的拟合。选择了四种水位方案,对大坝最重要的部分进行了安全分析,得出了有利范围内的因素。图形摘要
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Arabian Journal of Geosciences
Arabian Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
0.00%
发文量
1587
审稿时长
6.7 months
期刊介绍: The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone. Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.
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