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Dynamic interpretation of the factors causing dam deformation with hybrid grey dynamic incidence model

机译:混合灰色动态入射模型导致大坝变形因素的动态解释

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摘要

Deformation measured from various measuring points within and on a dam provides important information on the structural behaviour. The effective analysis of the development trend of factors causing deformation is a significant prerequisite for the structural health monitoring of dams. However, the existing research, focuses on qualitative analysis without distinguishing the difference in the contribution of deformation-influencing factors and revealing their dynamic evolution. Additionally, the quantitative analyses concentrated on single-point information cannot reflect the global correlation between the overall deformation and environmental factors, and the correlation cannot be fully characterised either by the fluctuation range or changing trend of monitoring data series. To overcome these issues, a novel hybrid grey dynamic incidence model is designed by integrating the Deng's grey incidence model and grey dynamic trend incidence model to dynamically analyse the factors causing dam deformation. In particular, the classic grey incidence models are improved through dimensional expansion for multi-point monitoring environment. Moreover, considering the effect of fluctuation range and changing trend, the hybrid grey dynamic incidence degree is defined to improve the interpretability of the influencing variables. Hence, the proposed model is applied to dynamically quantify the global connections of environmental factors against the deformation of an arch dam. The results are verified to be effective in improving the prediction accuracy in the structural safety of a dam and can be used to diagnose the working state of individual instrument location.
机译:从大坝内和坝上的各种测量点测量的变形提供了有关结构行为的重要信息。有效分析导致变形导致变形的因素的发展趋势是大坝结构健康监测的重要前提。然而,现有的研究侧重于定性分析,而不区分变形影响因素的贡献差异并揭示其动态演化。另外,集中在单点信息上的定量分析不能反映整体变形和环境因素之间的全局相关性,并且通过监测数据序列的波动范围或改变趋势,相关性不能完全表征。为了克服这些问题,通过整合邓小平的灰色入射模型和灰色动态趋势发生率模型来动态分析导致坝变形的因素来设计一种新的混合灰色动态入射模型。特别地,经典的灰色发生率模型通过尺寸扩展来改进,用于多点监测环境。此外,考虑到波动范围和变化趋势的效果,定义了混合灰色动态入射度,以改善影响变量的可解释性。因此,拟议的模型用于动态量化环境因素的全局连接,以抵御拱坝的变形。结果被验证以改善大坝结构安全性的预测精度,并且可用于诊断各个仪器位置的工作状态。

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