基于监测数据和数值模拟的考虑施工界面的 RCC 大坝变形健康诊断

IF 2.7 3区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Science and Technology Pub Date : 2024-01-09 DOI:10.1088/1361-6501/ad1cc9

Xudong Chen, Liuyang Li, Yajian Liu, YIngda Zhao, Xiangnan Qin, Jinjun Guo, Bo Xu, Guang Yang

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引用次数: 0

摘要

用于确定碾压混凝土（RCC）大坝变形的健康诊断程序与传统混凝土大坝不同。因此，在本研究中，通过结合使用 ABAQUS（2016）模拟的流体静力学分量以及使用统计方法计算的温度和老化分量，为考虑到施工界面的 RCC 大坝建立了变形健康诊断模型。该组合方法有助于监测 RCC 大坝的结构健康状况，确定 RCC 大坝变形的物理意义和统计规律。在模拟过程中，使用界面等效扩展法（IEEM）对施工界面的几何特征进行建模。材料属性则采用了以 Jaya 算法（JA-MLS-SVR）优化的多输出最小二乘支持向量回归法进行建模。一项案例研究表明，所建立的变形-健康诊断模型具有良好的拟合和预测能力。本研究提出的模型和方法为类似于 RCC 大坝的质量复合材料结构的行为分析和数值模拟提供了一个新的概念。

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Deformation Health Diagnosis of RCC Dams Considering Construction Interfaces Based on Monitoring Data and Numerical Simulation

The health diagnosis procedure applied to determine the deformation of a roller compacted concrete (RCC) dam is different from that of a conventional concrete dam. Hence, in this study, a deformation health diagnosis model was established for an RCC dam considering the construction interfaces by combining the hydrostatic component simulated using ABAQUS (2016), with the temperature and aging components calculated using a statistical method. The combined method can help monitor the structural health of RCC dams and determine the physical meaning and statistical law of deformation of RCC dams. During the simulation process, the geometric characteristics of the construction interfaces were modelled using the interface equivalent expansion method (IEEM). The material properties were modelled using multi-output least-squares support vector regression optimized with the Jaya algorithm (JA-MLS-SVR). A case study demonstrated that the established deformation–health diagnosis model has good fitting and prediction abilities. The model and methods proposed in this study provide a new concept for the behavior analysis and numerical simulation of mass composite structures similar to RCC dams.

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来源期刊

Measurement Science and Technology 工程技术-工程：综合

CiteScore

4.30

自引率

16.70%

发文量

656

审稿时长

4.9 months

期刊介绍： Measurement Science and Technology publishes articles on new measurement techniques and associated instrumentation. Papers that describe experiments must represent an advance in measurement science or measurement technique rather than the application of established experimental technique. Bearing in mind the multidisciplinary nature of the journal, authors must provide an introduction to their work that makes clear the novelty, significance, broader relevance of their work in a measurement context and relevance to the readership of Measurement Science and Technology. All submitted articles should contain consideration of the uncertainty, precision and/or accuracy of the measurements presented. Subject coverage includes the theory, practice and application of measurement in physics, chemistry, engineering and the environmental and life sciences from inception to commercial exploitation. Publications in the journal should emphasize the novelty of reported methods, characterize them and demonstrate their performance using examples or applications.