基于实时监控的面板堆石坝碾压质量综合评价研究

发布时间：2018-01-25 07:24

本文关键词： 面板堆石坝填筑碾压质量施工质量实时监控干密度预测模型干密度—可靠度二元耦合评价　出处：《天津大学》2014年硕士论文　论文类型：学位论文

【摘要】：水库工程在防洪、供水、灌溉、发电、改善河道基流等方面发挥着重要作用，然而在其建设过程中，由于受繁杂的工程施工工艺、紧张的工期、巨大的坝体填筑工程量等因素的制约，水库坝体填筑质量的安全性面临巨大挑战。传统面板堆石坝建设施工采用随机取样的干密度实验来检测坝体填筑质量，其实验结果不能全面反映坝体实际的碾压质量，影响坝体质量评价的可靠性。本文以面板堆石坝的填筑碾压质量为研究对象，依托本实验室研究开发的“面板堆石坝填筑碾压过程实时监控系统”，进行了基于实时监控的面板堆石坝压实质量控制评价研究，取得成果如下：（1）针对面板堆石坝坝体填筑碾压的质量控制问题，介绍了面板堆石坝坝体填筑的质量控制要求，阐述了本课题组研制开发的“面板堆石坝填筑碾压过程实时监控系统”的工作原理及在水库面板堆石坝工程中的应用进展，分析了料源属性和碾压参数等对坝体填筑质量的影响，确定了碾压干密度的影响参数。（2）在分析面板堆石坝质量控制参数（干密度）与其影响因素（碾压遍数、压实厚度、振动状态、坝料含水率和料源级配等）内在关系的条件下，建立基于遗传神经网络的坝体干密度预测模型，实现了坝体全仓面的碾压干密度分布值获取，并对该模型的精度进行验证。（3）考虑坝体填料参数的不均匀性和干密度参数对碾压质量的影响，，本文将可靠性理论引入坝体料源参数的变异性研究中，分析了坝料参数变异性因子对碾压干密度的影响，提出了耦合坝体干密度和可靠度的面板堆石坝坝体压实质量的评价方法，最后建立了面板堆石坝坝体干密度—可靠度二元耦合压实质量评价模型，其结果更客观地反映了坝体仓面的碾压质量，进一步提高了坝体填筑质量评价的可靠性，为面板堆石坝坝体碾压质量的控制管理和评价分析工作提供决策依据。
[Abstract]:Reservoir engineering plays an important role in flood control, water supply, irrigation, power generation and improvement of river basic flow. However, due to the complicated construction technology, the construction period is tight in the construction process. The security of dam filling quality is facing a great challenge due to the constraints of huge dam fill volume and other factors. The traditional construction of face rockfill dam uses random sampling dry density test to detect dam filling quality. The experimental results can not fully reflect the actual compaction quality of the dam body and affect the reliability of the dam quality evaluation. This paper takes the fill roller compaction quality of the face rockfill dam as the research object. Based on the research and development of the "real-time monitoring system for the filling process of the rockfill dam with concrete face face", the research on the quality control evaluation of the compaction quality of the rockfill dam based on the real-time monitoring is carried out. The results are as follows: 1) aiming at the quality control of filling and compaction of face rockfill dam, the paper introduces the quality control requirements of dam body filling in face rockfill dam. This paper describes the working principle of the "real-time monitoring system for the filling and rolling process of the face rockfill dam" developed by our research group and its application progress in the reservoir face rockfill dam project. The effects of material source properties and roller compaction parameters on dam filling quality are analyzed and the influence parameters of roller compaction density are determined. (2) under the condition of analyzing the quality control parameters (dry density) of face rockfill dam and its influencing factors (compaction times, compaction thickness, vibration state, water content of dam material and material source gradation, etc.). The prediction model of dry density of dam body based on genetic neural network is established. The distribution value of roller dry density on the whole silo surface of dam body is obtained, and the accuracy of the model is verified. 3) considering the inhomogeneity of filling parameters and the influence of dry density parameters on roller compaction quality, the reliability theory is introduced into the study of variability of dam material source parameters. The influence of variable factor of dam material parameters on the dry density of roller compaction is analyzed, and the evaluation method of compaction quality of face rockfill dam coupled with dry density and reliability of dam body is put forward. Finally, a binary coupling compaction quality evaluation model of concrete face rockfill dam with dry density and reliability is established, and the results reflect the rolling quality of dam silo surface more objectively. The reliability of dam fill quality evaluation is further improved, and the decision basis is provided for the control, management, evaluation and analysis of rolling quality of face rockfill dam.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TV641.43

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