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Centroid deformation-based nonlinear safety monitoring model for arch dam performance evaluation

机译:基于质心变形的拱坝绩效评估的非线性安全监测模型

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摘要

The purpose of this study is evaluating the arch dam performance through modelling on the defined centroid deformation with the measured data. The space-time distribution characteristics of the arch dam deformation are firstly identified through the comparative analysis of typical arch dams with height of 200-300 m in China. Subsequently, the geometry centroid of the deflection curve of an arch or a cantilever, composed of multiple monitoring points, is defined to indicate the global structural behavior of the arch dams. In order to evaluate the future performance of the arch dams, the space-time monitoring model for the centroid is established by introducing its initial coordinates based on the traditional statistical models. Afterwards, a novel centroid prediction model is developed based on the least squares support vector machine to balance the empirical risk and generalization ability of the statistical regression models. The input factors of the prediction model are determined in advance by principal component analysis to eliminate the multi-collinearity and reduce the computational complexity. The model construction and validation of the centroid deformation method are implemented on the world's highest arch dam through evaluating its structural behavior and predicting the development trend. The results can provide strong technical support to better grasp its performance during long-term operation.
机译:本研究的目的是通过在具有测量数据的定义质心变形上建模来评估拱坝性能。首先通过对中国高度为200-300米的典型拱坝的比较分析来确定拱坝变形的时空分布特性。随后,由多个监测点组成的拱形或悬臂的偏转曲线的几何质心被定义为指示拱坝的全球结构行为。为了评估拱坝的未来性能,通过基于传统统计模型引入其初始坐标来建立质心的时空监测模型。之后,基于最小二乘支持向量机开发了一种新的质心预测模型,以平衡统计回归模型的经验风险和泛化能力。通过主成分分析预先确定预测模型的输入因子,以消除多相共同性并降低计算复杂性。通过评估其结构行为和预测发展趋势,在世界上最高拱坝实施了质心变形方法的模型构建和验证。结果可以提供强大的技术支持,以便在长期运行期间更好地掌握其性能。

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