【作者】 陈晓鹏；

【导师】 张强勇；

【作者基本信息】 山东大学 ， 岩土工程， 2008， 硕士

【摘要】 为保证复杂岩体高边坡的安全与稳定,边坡工程必须在施工和运行过程中进行安全监测,以保证能将边坡变形、渗流渗压、支护应力等一系列监测信息及时反馈给设计人员,达到调整和优化设计方案、保证边坡稳定与安全运行的目的。针对目前边坡安全监测数据管理分析的落后现状,本文在深入研究边坡监测相关理论的基础上,采用基于Microsoft Visual C++的网络编程技术和SQLServer 2000数据库系统开发技术开发了岩体边坡监测信息管理与监测数据分析网络系统,提高了监测资料整理分析的效率和正确性,对确保边坡工程安全,充分发挥工程作用,具有巨大的经济效益与显著的社会效益。本文主要进行了以下几个方面的工作:(1)边坡安全监测原始观测资料在进行整编分析前必须经过预处理,本文首先分析叙述了岩体边坡安全监测信息管理与数据分析网络系统中使用的原始观测资料处理方法,包括监测数据的可靠性检验、误差识别和分析、监测数据的补插及修匀等,为岩体边坡安全监测数据管理分析系统的开发做了数据处理方法上的理论准备。(2)变形预测是进行边坡监测资料分析的常用手段,本文在分析岩体边坡变形影响因素的基础上,以时效、温度、降雨为影响因子,建立了岩体边坡变形统计回归分析模型,并采用逐步回归算法,在岩体边坡监测信息管理与监测数据分析网络系统中加入了变形预测模块。实际工程的计算分析表明:回归复相关系数较大,剩余标准差较小,本模型取得了较理想的效果。(3)以关系型数据库SQL Server 2000数据库为后台服务器,以Visual C++编写的程序为客户端系统,开发了采用C/S结构的岩体边坡监测信息管理与监测数据分析网络系统。该系统具有先进性、可靠性、通用性和可扩充性等特点。本文详细叙述了该系统开发的过程:系统的总体设计思路、数据库的设计和开发、前端软件的设计和开发等。(4)将开发的岩体边坡监测信息管理与监测数据分析网络系统应用于龙滩水电站左右岸边坡工程和锦屏一级水电站左右岸边坡工程安全监测资料管理与分析,大大提高了监测资料整编、分析、生成报表成果的工作效率,减少了人为因素引起错误的几率,使监测分析成果能够及时、准确地反馈给设计人员,对规避设计和施工风险,保证边坡施工和运行安全,起到了重要的作用。更多还原

【Abstract】 For the safety and stabilization of slope engineering in complex rock masses, safety monitoring should be implemented at construction and operation periods in order to ensure the immediate feedback of slope deformation, supporting stress, seepage pressure and attaining the expected purpose of optimaling design scheme and guaranteeing stability of slope.In order to change the backward situation of management and analysis of safety monitoring data of the slope, we develop the monitoring data management and analysis system for rock mass slope by using VC++ and SQL Server 2000. This system can improve efficiency and correctness of monitoring information arrangement analysis and has enormous economic benefits in guaranteeing stability of slope and fully developping their actions.The main aspects of the dissertation are as follows:(1) The original observation data of slope safety monitoring should be preprocessed before reorganizing and analyzing. Firstly, studying on the processing method of original observation data, including reliability inspection of monitoring data, error identification and analysis, interpolating and smoothing of monitoring data, etc.(2) The deformation forecasting is a common means of the analysis of stability of slopes. On the Basis of analyzing influence factors of rock mass slope deformation, we establish a statistical regression analysis model for rock mass slope deformation taking into account the influence of aging, temperature and rainfall. Then, this model was added to the monitoring data management and analysis system with stepwise regression algorithm. Computed results of project example show that the model has a ideal result that the interrelational coefficient of regression is high and residual standard deviation is low.(3) Taking the relating database, SQL Server 2000, as the background server database and the programe developed by Visual C++ as the client system, we develop the monitoring data management and analysis system for rock mass slope with C/S architecture. The system has the advantages of advancement, reliability, generality and extension. This paper go into particulars of developing process of the system, including general design idea of the system, database and front-head software design and development.(4) The system is applied to Longtan and jingping stage- I Hydroelectric slope project. The remote real-time sharing and network management and analysis for monitoring information and monitoring data of the slope have been realized. Monitoring analysis results feedback to designers timely, which plays an important role in evading design and construction risk and ensuring the construction and operation safety of the slope.更多还原