【作者】 张斌；

【导师】 王建华； 陈锦剑；

【作者基本信息】 上海交通大学 ， 岩土工程， 2014， 硕士

【摘要】 深基坑工程具有工程规模大、施工难度高、社会影响大的特点，关于深基坑工程施工风险预警和控制，国内外许多学者做过相关研究，但很多成果目前仍停留在理论上，不能很好的运用到实际工程中。本文从工程实践的角度出发，分析深基坑工程中各实体之间的几何、物理和力学联系，提出参数融合数据模型，并开发深基坑风险预警与控制软件，方便工程现场使用。本文的研究内容主要有以下几点：1、在深基坑开挖过程中，考虑不同实体的几何参数、物理参数和力学参数之间的相关性，提出参数融合数据模型,并建立以不同基坑实体为分析对象的模型结构。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，为每个实体对象建立相应的实体类，并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。2、根据上海软土地区大量基坑工程的风险管理经验，分别从围护结构位移时间和空间分布、支撑轴力时间和空间分布、地表或建构筑物沉降时间和空间分布以及立柱隆沉时间和空间分布等几个方面对深基坑工程施工过程中的异常表现进行分类总结，并进一步分析异常原因。3、根据参数融合数据模型和数据结构，利用AutoCAD二次开发软件包ObjectARX和C++语言，开发深基坑风险预警与控制软件。软件实现了基坑三维建模、风险分析和数据管理的功能。基于参数融合数据模型，软件实现在建模过程中搭接各基坑实体之间的关联，为后处理进行参数融合风险分析提供依据。软件通过对监测数据的处理分析，发现工程施工过程中的潜在风险。最后,将深基坑风险预警与控制软件应用于上海市汉中路地铁车站深基坑工程,对工程进行三维建模和风险分析。预警结果显示，与传统单参数预警方法相比，软件指出了施工过程中常规方法所不能发现的险情，说明软件模拟的结果更加符合工程实际，同时说明了本文数据结构的优越性，为继续开展相关研究提供借鉴。更多还原

【Abstract】 Deep excavation engineering has the characteristics of large engineeringscale, big construction difficulties and high social influence. A lot of scholarsat home or abroad have done relevant researches on the risk pre-warning andcontrol of deep excavation, but many achievements are still stay in theory,and cannot be well used in engineering practice. From the viewpoints ofengineering practice using, and based on the study of the geometric, physicaland mechanical relations of different excavation entities, the data modelconsidering parameter fusion was presented, and the risk pre-warning andcontrol software of deep excavation was developed for the engineers on thespot. In this paper, the research contents mainly include the following points:1. A data model considering parameter fusion was presented by studyingthe relations between the geometric, physical and mechanical parameters ofdifferent entities during the excavation, and the model structures that basedon different entities were promoted. According to the object-orientedprogram development method, describe the entities of excavation with theC++language, and build a class for each entity. And based on the data modelconsidering parameter fusion, a data structure which can reflect the classhierarchy was presented.2. According to the risk management experience of a large number ofexcavation engineering of soft soil area of shanghai, classify and make aconclusion of the abnormal performance in the process of excavationengineering construction from the angle of the time and space distribution of the displacement of retaining structure, the force of supporting structure, thesettlement of pipes or buildings, and the settlement of columns respectively.And make a further analysis of the cause of the abnormal performance.3. Based on the data model and data structure considering parameterfusion, developed the risk pre-warning and control software of deepexcavation by using of the developing software package of AutoCAD andC++language. The software realized the function of3D modeling, riskanalysis, and data management. Based on the parameter fusion data model,the software built the connections which provide the foundation for riskanalysis in the post-processing between different entities during the modelingprocess. By the analysis of the measuring data, the software can notice thepotential risks in the process of engineering construction.Finally, the essay built the3D model and analyzed the risks of the deepexcavation of Hanzhong Road metro station of shanghai by using of thesoftware, and the results showed that the software is able to detect thepotential risk which cannot be warned by the traditional method and to reflectthe true state of excavation and the superiority of the data structure which canprovide reference for further research.更多还原