Bibliographic Details
| Title: |
基于 JAVA 和 MATLAB 混合编程的 堆石坝瞬变-流变参数反演分析. (Chinese) |
| Alternate Title: |
Joint Inversion of Transient-rheological Parameters of Rockfill Dam Based on JAVA and MATLAB Hybrid Programming. (English) |
| Authors: |
吴浩东, 狄圣杰, 张 玉, 黄 鹏, 刘 静 |
| Source: |
China Rural Water & Hydropower; 2025, Issue 4, p71-83, 7p |
| Abstract (English): |
The inversion analysis of transient-rheological parameters of rockfill dam by using field monitoring data is very important to ensure the safety and stability of the dam. Aiming at the transient-rheological model of rockfill dam, the trained neural network in MATLAB is used to describe the mapping relationship between transient-rheological parameters and deformation, and the JAVA programming genetic algorithm is used to find the optimal transient-rheological parameters, so as to establish the intelligent inversion algorithm combination of transient-rheological parameters. Based on the hybrid programming of JAVA and MATLAB, the inversion of transient-rheological parameters is programmed, which has been applied and tested in a concrete face rockfill dam project of a hydropower station in Northwest China. The results show that the maximum relative error between the calculated settlement and the measured settlement based on the inversion parameters is 4.33 %. The time history curves of the two are in good agreement, and the deformation of the rockfill dam is within a reasonable range and tends to be stable. The research results meet the accuracy and engineering requirements, and can provide some reference for the inversion of transient-rheological parameters of rockfill dams. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
利用现场监测数据对堆石坝瞬变-流变参数进行反演分析对于确保坝体的安全稳定至关重要。针对堆石坝 瞬变-流变模型, 采用MATLAB中经过训练的神经网络来描述瞬变-流变参数和变形之间的映射关系, 利用JAVA编程遗 传算法来寻找最优瞬变-流变参数, 以此建立了瞬变-流变参数的智能反演算法组合, 并基于JAVA与MATLAB混合编程 实现了瞬变-流变参数反演程序化, 在西北某水电站面板堆石坝工程中得到应用和检验。结果表明, 基于反演参数计算 得到的计算沉降与实测沉降相对误差最大为 4.33%, 二者的时程曲线吻合较好, 堆石坝变形在合理范围内并趋于稳定。 研究成果满足精度和工程要求, 可为堆石坝瞬变-流变参数反演提供一定的参考。 [ABSTRACT FROM AUTHOR] |
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| Database: |
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