【作者】 杨斌；

【导师】 钟登华；

【作者基本信息】 天津大学 ， 水利工程， 2012， 硕士

【摘要】 南水北调中线干线工程全线长度为1432km，其中填筑高度超过6m的高填方渠道段为139.5km。高填方渠道工程属于典型的线性工程，沿线分布范围广，土石方工程量巨大，工期紧，管理方式复杂，因此，整个工程的施工质量管理和控制面临着严峻的挑战。渠道填筑碾压质量控制是高填方渠道施工质量控制的关键环节之一，如何对高填方渠道填筑碾压过程进行精细化、全天候的实时监控与分析，同时，如何对渠道压实质量进行实时在线的预测，是工程建设过程中所要考虑的重要问题。本文针对高填方渠道填筑碾压质量实时监控与压实度预测模型进行了研究，取得如下成果：（1）针对高填方渠道填筑碾压质量控制的关键科学问题，建立了高填方渠道填筑碾压质量实时监控的指标体系及相应的控制准则，提出了实时监控的数学模型，并实现了高填方渠道填筑碾压过程的可视化表达。以此为理论基础，研制开发了高填方渠道填筑碾压质量实时监控系统并将该系统成功应用于南水北调中线干线工程高填方渠道工程建设中，实现了对高填方渠道填筑碾压过程精细化、全天候的实时在线监控与分析，提高了高填方渠道填筑碾压过程的质量控制水平和效率。（2）依托高填方渠道填筑碾压质量实时监控技术，实现了对施工过程中各碾压参数（碾压遍数、碾压速度、压实厚度、振动状态）的实时采集和监控，结合由现场试验获得的含水率和压实度，分析了各碾压参数、含水率与土料压实度之间的相关性，并以此为基础利用多元线性回归分析方法建立了压实度的预测模型。实测数据的验证结果表明该模型具有较高的精度。（3）鉴于人工神经网络方法具有很强的自学习性和自适应性、高度的鲁棒性和容错能力、泛化能力强、能处理复杂的非线性问题等优点，本研究中还利用该方法建立了压实度的预测模型，并对该网络的性能进行了评价，进而综合比较了该模型与多元线性回归的预测模型的预测精度。压实度预测模型的建立，为进一步实时获取压实度值提供了可能性。针对传统施工质量控制手段受人为因素影响大的难题，采用全天候、精细化、实时在线的施工质量监控技术，对渠道压实质量进行实时在线的预测，克服了利用现场试验检测压实度只能对有限个点进行压实质量评估的局限性，为高填方渠道填筑碾压施工质量控制提供了决策依据，并积累了大量宝贵的技术数据，是高填方渠道填筑碾压施工质量控制手段的创新。更多还原

【Abstract】 South-to-North Water Diversion Middle Route Project has a length of1432km,and the length of high fill channel segment, with a filling height larger than6m, is139.5km. As a typical linear engineering, high fill channel project is characterized bywide distribution, huge earthwork volume, tight schedule and complex managementmode, which have brought a severe challenge to management and control of theconstruction quality. Filling and rolling quality control is one of the key links ofconstruction quality control for high fill channel. How to realize meticulous andall-weather real-time monitoring and analysis of filling and rolling construction of thechannel, meanwhile, how to realize real-time and on-line prediction of the compactionquality, are important issues to be considered during engineering construction. Aimingat the study on real-time monitoring of filling and rolling quality and prediction modelof compactness for high fill channel, this paper has obtained some achievements asfollows.(1) Aiming at the key scientific problems of filling and rolling quality control forhigh fill channel, index system and control criterion of real-time monitoring for fillingand rolling quality control is established, mathematical model of real-time monitoringis proposed and visual expression of filling and rolling construction is realized. Basedon the theoretical research, real-time monitoring system of filling and rolling qualitycontrol for high fill channel is researched and developed. Then the system issuccessfully applied to the high fill channel of South-to-North Water DiversionMiddle Route Project, which realizes meticulous, all weather and real-timemonitoring and analysis for filling and rolling process of high fill channel andimproves the quality control level and efficiency during construction of the high fillchannel.(2) Based on the real-time monitoring technology of filling and rolling qualitycontrol for high fill channel, rolling parameters during construction process, includingcompaction passes, compaction thickness, rolling speed and vibration status, arereal-timely acquired and monitored. Combined with moisture content andcompactness obtained by field test, correlation between compactness and its maininfluencing factors, namely rolling parameters and moisture content, is analyzed.Then based on the correlation analysis, prediction model of compactness isestablished applying multiple linear regression analysis method. Verified by measured data, the model is of high precision.(3) Characterized by high self-learning ability and self-adaptive, high robustnessand fault-tolerant ability, strong ability of generalization and treatment of complexnonlinear issues, artificial neural network method is applied in establishing predictionmodel of compactness as well. After evaluating performance of the network,prediction precision of the model is compared with that of the model established bymultiple linear regression method. Establishment of the prediction models ofcompactness make it possible to obtain compactness real-timely.Aiming at the problem that traditional control methods of construction qualitymay be greatly affected by human factors, all-weather, meticulous and real-timeconstruction quality monitoring technology is applied to carry out real-time andonline prediction of compactness, overcoming the considerable limitations thatcompactness obtained by field test can only evaluate compaction quality of somerandom positions. The study has provided decision basis for filling and rollingconstruction quality control for high fill channel, and accumulated many precioustechnical data. This successful case provides an innovative method for filling androlling construction quality control for high fill channel.更多还原