基于BIM技术的地铁边深基坑工程施工信息集成方法  被引量:5

Construction Information Integration Method for Deep Foundation Pit Engineering Beside Subway Based on BIM Technology

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作  者:陈卫林[1] CHEN Weilin(Zhejiang Architectural Design and Research Institute,Hangzhou 310000,China)

机构地区:[1]浙江省建筑设计研究院,杭州310000

出  处:《河南科学》2023年第3期321-328,共8页Henan Science

摘  要:为了解决地铁边深基坑工程施工信息集成运行效率低、极差高、信息匹配准确率低和性能差的问题,提出了一种基于BIM技术的地铁边深基坑工程信息集成方法.首先基于BIM信息集成平台,采集与分析地铁边深基坑工程施工信息;然后综合正交函数和支持向量机算法,对施工信息样本进行投影映射;之后根据DE算法规则迭代循环计算核函数,获得支持向量机参数最优解,以保证各个样本间的拟合度,优化信息集成极差;接着结合DE算法和支持向量机算法,采用参数反分析方法构建DE-SVM参数反分析模型,以优化地铁边深基坑工程中岩体位移与岩体力学参数,提升地铁边深基坑工程施工信息的匹配准确率;最后通过滚动预测方法更新施工信息,以提高地铁边深基坑工程施工信息的运行效率.同时,通过实例验证了所提方法的可行性和有效性,结果表明,所提方法的运行效率高、极差小、信息匹配准确率高,可保证地铁边深基坑工程施工信息集成的性能.In order to solve the problems of low operation efficiency,high range,low accuracy of information matching and poor performance in the construction information integration of deep foundation pit engineering beside subway,a method for information integration of deep foundation pit engineering beside subway based on BIM technology is proposed.Firstly,based on the BIM information integration platform,the construction information of deep foundation pit project beside subway is collected and analyzed.Then,the orthogonal function and support vector machine algorithm are integrated to project and map the construction information samples.After that,the kernel function is iteratively calculated according to DE algorithm rules to obtain the optimal solution of support vector machine parameters,so as to ensure the fit degree between each sample and optimize the information integration range.Next,combined with DE algorithm and support vector machine algorithm,the DE-SVM parameter back analysis model is constructed by using the parameter back analysis method,so as to optimize the rock mass displacement parameters and rock mass mechanical parameters in deep foundation pit project beside subway,and improve the matching accuracy of the construction information of deep foundation pit project beside subway.Finally,the rolling prediction method is used to update the construction information to improve the operation efficiency of the construction information of deep foundation pit project beside subway.At the same time,the feasibility and effectiveness of the proposed method are verified by an example.The results show that the proposed method has high operation efficiency,small range and high accuracy of information matching,which can ensure the performance of the construction information integration of deep foundation pit project beside subway.

关 键 词:BIM技术 地铁边深基坑 施工信息 信息集成 支持向量机算法 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

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