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SVM时序模型预测基坑工程稳定性的应用OA

Application of SVM Time Series Prediction Model in Foundation Pit Excavation Engineering

中文摘要英文摘要

预测基坑开挖会引起的周边地表沉降及支护结构的竖向位移,文中依托青岛某地铁车站基坑工程,对现场监测数据进行预处理,采用SVM的时间序列预测模型对深基坑地表沉降及桩顶竖向位移进行预测,对预测结果进行处理分析并通过RMSE、MAE、MBE、R2 来衡量模型的预测精度.结果表明,SVM模型在预测深基坑变形方面具有一定潜力,但仍需进一步改进和优化.

Predict the surrounding surface settlement and vertical displacement of the support structure caused by excavation of the foundation pit,this paper relies on the foundation pit project of a subway station in Qingdao to preprocess the on-site monitoring data.The SVM time se-ries prediction model is used to predict the surface settlement of the deep foundation pit and the vertical displacement of the pile top.The pre-diction results are processed and analyzed,and the prediction accuracy of the model is measured by RMSE,MAE,MBE and R2.The results indicate that the SVM model has certain potential in predicting the deformation of deep foundation pits,but further improvement and optimiza-tion are still needed.

史红雷;柳杨;王强民;于永飞;李美琪;韩佳芙

青岛市政空间开发集团有限责任公司,山东 青岛 266000青岛市政空间开发集团有限责任公司,山东 青岛 266000青岛市政空间开发集团有限责任公司,山东 青岛 266000青岛市政空间开发集团有限责任公司,山东 青岛 266000青岛市政空间开发集团有限责任公司,山东 青岛 266000青岛市政空间开发集团有限责任公司,山东 青岛 266000

土木建筑

基坑开挖机器学习支持向量机沉降预测

Foundation pitMachine learningSVMSettlement prediction

《江西建材》 2024 (3)

162-164,3

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