| 摘要: |
| 基于坝体原位监测资料反演分析坝体材料参数是获取坝体材料真实参数的有效途径，针对面板堆石坝堆石料南水模型参数反演中的多材料、多参数反演问题，提出了基于XGBoost算法的参数反演法。由于待反演材料多、参数多，本文首先通过正交试验进行参数敏感性分析，精简待反演参数，进一步通过正交试验建立机器学习样本集，在对不同机器学习模型训练结果进行对比的基础上提出基于XGBoost算法利用坝体变形监测数据对坝体堆石料南水模型参数进行反演，并对利用反演参数计算所得变形结果与实际监测结果进行比较。结果表明，XGBoost算法相较于决策树等算法更具优势，结合正交试验可有效减少有限元计算次数，提高计算效率及准确性；反演参数计算结果与实际监测结果有较好的一致性，该方法对于堆石料南水模型参数反演具有重要的实际应用价值。 |
| 关键词: 南水模型 正交试验 XGBoost 参数反演 面板堆石坝 |
| DOI： |
| 分类号:TU472 |
| 基金项目:中央高校基本科研业务费专项项目(Y321002, Y321001),水利部堤防安全与病害防治工程技术研究中心开放课题基金资助项目(LSDP202101) |
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| NHRI model parameter inversion and application of rockfill based on XGBoost |
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LI Wei1, LIU Jiansheng2, SHI Zengqiang2, GUO Wanli1
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1.Nanjing Hydraulic Research Institute,Nanjing;2.Yuyao Reservoir Management Service Center,Ningbo
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| Abstract: |
| Based on the in-situ monitoring data of the dam, back analysis of the material parameters is an effective way to obtain the real parameters. Aiming at the problem of multi-material and multi-parameter back analysis in the NHRI model parameter back analysis of of concrete faced rockfill dam, a parameter back analysis method based on XGBoost is proposed. Because there are many materials and parameters to be inverted, this paper first conducts parameter sensitivity analysis through orthogonal test, simplifies the parameters to be inverted, further establishes machine learning sample set through orthogonal test.On the basis of comparing the training results of different machine learning models, XGBoost is proposed to use dam deformation monitoring data to inverse the NHRI model parameters of dam rockfill. The deformation results calculated by inversion parameters are compared with the actual monitoring results. The results show that XGBoost algorithm has more advantages than other algorithms such as decision tree algorithm. The combination of orthogonal test can effectively reduce the number of finite element calculations and improve the calculation efficiency and accuracy; The calculated results of inversion parameters are in good agreement with the actual monitoring results. This method has important practical application value for parameter inversion of rockfill South Water Model. |
| Key words: NHRI model orthogonal test XGBoost parameter inversion concrete face rockfill dam |
