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1Prediction of high-embankment settlement combining joint denoising technique and enhanced GWO-v-SVR method显示文摘Reliable long-term settlement prediction of a high embankment relates to mountain infrastructure safety.This study developed a novel hybrid model(NHM)that combines a joint denoising technique with an enhanced gray wolf optimizer(EGWO)-n-support vector regression(n-SVR)method.High-embankment field measurements were preprocessed using the joint denoising technique,which in-cludes complete ensemble empirical mode decomposition,singular value decomposition,and wavelet packet transform.Furthermore,high-embankment settlements were predicted using the EGWO-n-SVR method.In this method,the standard gray wolf optimizer(GWO)was improved to obtain the EGWO to better tune the n-SVR model hyperparameters.The proposed NHM was then tested in two case studies.Finally,the influences of the data division ratio and kernel function on the EGWO-n-SVR forecasting performance and prediction efficiency were investigated.The results indicate that the NHM suppresses noise and restores details in high-embankment field measurements.Simultaneously,the NHM out-performs other alternative prediction methods in prediction accuracy and robustness.This demonstrates that the proposed NHM is effective in predicting high-embankment settlements with noisy field mea-surements.Moreover,the appropriate data division ratio and kernel function for EGWO-n-SVR are 7:3 and radial basis function,respectively.Qi Zhang Qian Su Zongyu Zhang Zhixing Deng De Chen 2024Journal of Rock Mechanics and Geotechnical Engineering2024,16,1:0
2土石混合料-土工织物界面剪切特性研究显示文摘土石混合料加筋结构常见于高填方边坡工程中,其稳定性受筋土界面相互作用的影响。为了研究土石混合料-土工织物界面的相互作用机理,利用了室内大型直剪仪进行一系列直剪试验,分析了5种含石量(0%、25%、50%、75%、100%)、3种压实度(88%、92%、96%)以及3种竖向应力(100、200、300 kPa)对界面剪切特性的影响,并建立了界面剪胀系数的经验公式。结果表明:界面在低含石量(0%~25%)下表现出剪切软化趋势,在高含石量(50%~100%)下表现出剪切硬化趋势,且剪切应力-剪切位移曲线出现较为明显的波动现象;界面最大竖向位移随含石量和压实度的增大呈现出增大趋势,随竖向应力的增大呈现出减小趋势。界面摩擦角在低含石量下基本保持稳定,而后随含石量的增大表现出先增大后减小的趋势;界面似黏聚力的增长速率随压实度的增大而减小;结合含石量、竖向应力等因素,建立了剪胀系数经验公式,该公式能够较为准确地描述界面的体积变化情况。刘飞禹 姚嘉敏 孔剑捷 2024中国公路学报2024,37,1:0
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