摘要
目的研究填海地区深基坑支护结构的优化设计方法,为解决复杂地质条件下深基坑设计的安全性和经济性提供参考。方法首先以深圳市妈湾跨海通道为背景工程,结合智慧建造理念,借助参数化建模方式构建BIM模型;其次确立了基坑支护结构优化的数学模型,并依据敏感性分析及项目实际条件确定了模型的优化变量、目标函数及约束条件;最后借助遗传算法对优化模型进行编程求解。结果优化后的设计参数在满足安全性的前提下,不仅将材料造价从4345万元降到4162万元,降低了4%,还将桩身最大弯矩从880.42 kN·m降到756.97 kN·m,减少了14%,优化效益显著。结论在填海地区,利用BIM技术和遗传算法理论进行支护结构优化设计,对今后类似工程的高质量建造具有借鉴意义。
The optimization design method of deep foundation pit supporting structure in reclamation areas was studied,which provided references for solving the safety and economy of deep foundation pit design under complicated geological conditions.Firstly,taking Shenzhen Mawan Cross-sea Passage as the background project and combining the concept of intelligent construction,the BIM model was constructed by the means of parametric modeling.Secondly,the mathematical model of foundation pit supporting structure optimization was established,and the optimization variables,objective functions and constraints of the model were determined according to the sensitivity analysis and the actual conditions of the project.Finally,the optimization model was solved by programming with the help of genetic algorithm.The optimized design parameters not only reduce the project cost from 43.45 million to 41.62 million,saving about 4%;but also reduce the maximum bending moment of the pile from 880.42 kN·m to 756.97 kN·m,reducing about 14%,the optimization benefits are remarkable.In reclamation areas,BIM technology and genetic algorithm theory are used to optimize the design of support structure,which has reference significance for the high-quality construction of similar projects in the future.
作者
姜早龙
张杰
张志军
陈大川
JIANG Zaolong;ZHANG Jie;ZHANG Zhijun;CHEN Dachuan(College of Civil Engineering,Hu′nan University,Changsha,China,410082;Hu′nan Huda Construction Supervision Co.Ltd.,Changsha,China,410082;The Third Engineering Co.Ltd.,of China Railway Seven Bureau Group,Xi′an,China,710032)
出处
《沈阳建筑大学学报(自然科学版)》
CAS
CSCD
北大核心
2021年第2期210-217,共8页
Journal of Shenyang Jianzhu University:Natural Science
基金
国家重点研发计划项目(2016YFC0701308)。
关键词
填海地区
深基坑支护
参数化建模
遗传算法
结构优化
reclamation areas
deep foundation pit supporting
parametric modeling
genetic algorithm
structure optimization