深基坑参数融合数据模型与数据结构

基于深基坑开挖过程中,不同实体的几何参数、物理参数和力学参数之间的关联性,提出深基坑参数融合数据模型,实现将深基坑的几何模型和力学模型统一在一个框架之下.根据面向对象的编程思想,采用C++语言对各基坑实体进行描述,为模型设计一个能够体现各基坑实体类之间层次关系的数据结构,并开发了深基坑三维建模与风险预警软件.将开发的软件应用于上海市汉中路地铁车站深基坑项目,结果表明,该数据模型很好地实现了不同基坑实体之间的关联,可以有效地预测深基坑施工过程中的潜在风险.

Data Model and Data Structure of Deep Excavation Considering Parameter Fusion

Abstract： A data model considering parameter fusion was presented by studying the relation among the geometric, physical and mechanical parameters of different entities during excavation. Based on C++ and the object oriented program development method, a data structure reflecting the entity class hierarchy was introduced to develop a 3D modeling and risk pre warning software for deep excavation. By using the 3D modeling software, the geometric and mechanical model of deep excavation was unified. The software was applied to the deep excavation of the metro station at Hanzhong Road in Shanghai, and the results show that the presented data model reflects the relation among different entities well and is effective in detecting potential risks during excavation.