基于BIM-GA的综合交通枢纽超大深基坑施工费用动态优化

Dynamic optimization of construction cost of super large and deep foundation pit for comprehensive transportation hub project based on BIM-GA

以洛阳龙门站综合交通枢纽中心北广场工程为依托,将BIM技术和GA相结合,研究了超大深基坑施工费用动态优化问题。考虑资金时间价值和工期奖惩的前提下,采用二次曲线表达直接费与工期的关系,构建了费用动态优化模型。应用软件REVIT和广联达BIM建立了基坑施工三维场布模型,绘制了双代号时标网络图,计算出了工程直接费和间接费;通过BIM-5D平台,进行可视化施工模拟并统计了资金需求量,从定性和定量两个方面分析了方案的可行性并获取项目参数信息。合理确定遗传参数,利用Matlab编程进行了GA费用优化,并对其静态、动态优化结果进行了比较。结果表明:依托项目动态优化方案总工期减少10 d,总费用减少109559元;静态优化方案总工期减少12 d,总费用减少19984元,考虑资金时间价值的动态费用优化更符合工程实际,优化结果更可靠、准确。将BIM技术和GA相结合进行费用动态优化,可以充分发挥二者的优势,准确快速地获取项目参数和资源信息,解决了超大深基坑工序复杂、工程数据统计量庞大等难题,可高效、准确地在全局域范围内搜索最优解。

Based on the North Square project of the comprehensive transportation hub center of Luoyang Longmen Station,this paper studies the dynamic optimization of the construction cost of super deep foundation pit by combining BIM technologywith GA.Considering the time value of capital and the reward and punishment of construction period,a quadratic curve is used to express the relationship between direct cost and construction period,and a dynamic cost optimization model is constructed.Using Revit and Glodon BIM software,the 3D site layout model of foundation pit construction was established,the double code time scale network diagram was drawn,and the direct and indirect costs of the project were calculated.Through the BIM-5D platform,the visual construction simulation was carried out and the capital demand was counted,the feasibility of the scheme was analyzed qualitatively and quantitatively,and the project parameter information was obtained.Then the genetic parameters are reasonably determined,and the GA cost optimization is carried out by using Matlab programming,and the static and dynamic optimization results are compared.The results show that the total construction period is reduced by 10 days,and the total cost is reduced by 109559 yuan relying on the dynamic optimization scheme of the project.The total construction period of the static optimization plan is reduced by 12 days,and the total cost is reduced by 19984 yuan.The dynamic cost optimization considering the time value of capital is more in line with the project reality,and the optimization results are more reliable and accurate.In this paper,BIM technology and GA are combined for dynamic cost optimization,which can give full play to their advantages,and obtain project parameters and resource information accurately and quickly,so as to solve problems such as complex procedures for super deep foundation pits and huge amount of engineering data statistics,which can efficiently and accurately search the optimal solution in the global domain.