摘要
深基坑的变形有很多的影响因素,并且很难用已有的力学模型和经验公式去进行计算,本文将在前人研究的基础上,用实际工程中前期开挖时的监测数据来建模,用后期开挖时的数据来检校模型的精度和适用性,利用灰色系统-BP神经网络模型进行分析预测,经过多次试验表明,该模型比灰色系统模型和BP神经系统模型具有更高的精度和适用性,同时对于复杂条件下基坑变形发生突变的情况具有较高的适用性和准确性。
Many factors influenced the pit deformation, and it is difficult to use the existing mechanical model and empirical formula for calculation. On the basis of previous studies, this article used the actual project of deep foundation pit excavation deformation monitoring data, used at the time of the early stage of the excavation monitoring data to model, used later data excavation to calibration precision and applicability of the model, using the gray system analysis-BP network model. After many tests, it showed that the proposed model than the gray system model and BP neural system model has higher precision and applicability, and the deformation of foundation pit under complicated conditions mutations situation has high applicability and aceuracy.
出处
《黑龙江科学》
2013年第10期33-34,25,共3页
Heilongjiang Science
关键词
基坑变形监测
逆作法
沉降控制
数据分析
Deep foundation pit engineering
deformation forecast gray system
combination model
