基于智能优化算法的深大基坑施工反分析
发布时间：2019-06-14 20:18
【摘要】：引入人工智能技术,提出了一种基于神经网络的Nelder-Mead改进加速算法,建立了基于监测结果的深大基坑动态施工反馈分析方法。以93383 m2超大基坑工程为案例,进行了三维有限元参数反演分析,预测了基坑后续开挖围护结构水平位移、支撑轴力、管沟位移。结果表明:与Nelder-Mead算法比较,采用所建立的方法的收敛速度快,迭代次数减少了最大达86.9%;预测结果与实测结果吻合较好。
[Abstract]:In this paper, an improved Nelder-Mead acceleration algorithm based on neural network is proposed by introducing artificial intelligence technology, and a feedback analysis method for dynamic construction of deep foundation pit based on monitoring results is established. Taking 93383 m ~ 2 super large foundation pit engineering as an example, the three-dimensional finite element parameter inversion analysis is carried out, and the horizontal displacement, supporting axial force and pipe groove displacement of the retaining structure in the subsequent excavation of the foundation pit are predicted. The results show that compared with the Nelder-Mead algorithm, the convergence speed of the proposed method is faster and the number of iterations is reduced by 86.9%, and the predicted results are in good agreement with the measured results.
【作者单位】： 上海建工集团工程研究总院;上海建工集团股份有限公司;
【基金】：国家重点研发计划项目(2017YFC0805500) 上海市“科技创新行动计划”社会发展领域项目(16DZ1201600) 上海建工重点科研项目(14GLXX-05)
【分类号】：TU753
[Abstract]:In this paper, an improved Nelder-Mead acceleration algorithm based on neural network is proposed by introducing artificial intelligence technology, and a feedback analysis method for dynamic construction of deep foundation pit based on monitoring results is established. Taking 93383 m ~ 2 super large foundation pit engineering as an example, the three-dimensional finite element parameter inversion analysis is carried out, and the horizontal displacement, supporting axial force and pipe groove displacement of the retaining structure in the subsequent excavation of the foundation pit are predicted. The results show that compared with the Nelder-Mead algorithm, the convergence speed of the proposed method is faster and the number of iterations is reduced by 86.9%, and the predicted results are in good agreement with the measured results.
【作者单位】： 上海建工集团工程研究总院;上海建工集团股份有限公司;
【基金】：国家重点研发计划项目(2017YFC0805500) 上海市“科技创新行动计划”社会发展领域项目(16DZ1201600) 上海建工重点科研项目(14GLXX-05)
【分类号】：TU753
【相似文献】
相关期刊论文 前10条
1 刘惠生;;深大基坑设计和施工应注意的几个问题[J];广东科技;2007年06期
2 谢小林;翟杰群;贾坚;;地铁换乘枢纽旁深大基坑的若干设计技术分析[J];建筑结构;2008年09期
3 杨辛华;;三面临水的深大基坑施工技术[J];建筑施工;2009年07期
4 李昀;马稚青;田振;顾倩燕;;相邻深大基坑同步施工的相互影响研究[J];水运工程;2009年S1期
5 刘书琴;;某深大基坑搅拌桩支护墙设计的安全性验算[J];商品与质量;2009年S4期
6 张涛;;某深大基坑工程组合支护效果及参数优化分析[J];山西建筑;2010年28期
7 彭敏;;深大基坑施工时对下卧运营地铁隧道的专利保护技术[J];建筑施工;2010年09期
8 强健;;深大基坑施工对邻接地铁工程的影响分析[J];地下空间与工程学报;2010年S1期
9 陈凯;;某富水区段深大基坑稳定施工技术[J];建筑机械化;2011年10期
10 李琨;康健;商啸e，
本文编号：2499659
本文链接：https://www.wllwen.com/jianzhugongchenglunwen/2499659.html
