季冻区三灰碎石强度及稳定性的试验研究

发布时间：2018-03-27 09:45

本文选题：三灰稳定碎石　切入点：正交试验　出处：《东北林业大学》2015年硕士论文

【摘要】：本文以三灰稳定碎石为研究对象,首先对石灰、粉煤灰、水泥以及级配碎石的工程性质进行了分析；然后以石灰、粉煤灰、水泥为影响因素,7d无侧限抗压强度为考核指标,对三灰稳定碎石的配合比进行了正交试验设计,根据正交试验结果,分别采用极差分析法和方差分析法进行了三因素的显著性影响分析；同时根据正交试验的试验数据,采用MATLAB软件的BP人工神经网络建立三灰稳定碎石的7d无侧限抗压强度预测模型,通过已有的正交试验数据对人工神经网络模型进行训练,然后利用已经训练完毕的网络函数模型对三灰稳定碎石的所有配合比的7d无侧限抗压强度进行预测,通过对预测结果的分析,同时结合正交试验的配合比结果,并考虑经济指标等因素,选定三灰稳定碎石的最优配合比；在最优配合比的基础上,对三灰稳定碎石进行无侧限抗压强度试验、劈裂试验、抗压回弹模量试验、冻融稳定性试验及水稳性试验等室内试验,对影响试验结果的各个因素进行了分析,并做出相应的评价；通过扫描电子显微镜对各个龄期最优配合比的三灰稳定碎石材料进行微观结构分析,从微观层面分析研究三灰稳定碎石的强度增长规律,有助于更加全面的了解其结构特性。通过以上分析,三灰稳定碎石具有良好的路用性能,最优配合比的7d无侧限抗压强度为2.48MPa,通过正交试验和BP人工神经网络算法相结合,预测三灰稳定碎石强度,误差均小于5%,预测结果准确。本文的结论可以为今后三灰稳定碎石在季冻区道路基层中的应用提供一定的参考和借鉴。
[Abstract]:In this paper, the engineering properties of lime, fly ash, cement and graded macadam are analyzed, and the unconfined compressive strength of lime, fly ash and cement for 7 days is taken as the evaluation index. According to the results of orthogonal test, the significant effects of three factors were analyzed by means of range analysis method and variance analysis method, meanwhile, according to the experimental data of orthogonal test, the mixture ratio of tri-ash stabilized crushed stone was designed. BP artificial neural network based on MATLAB software was used to establish the prediction model of unconfined compressive strength of tri-ash stabilized gravel for 7 days. The artificial neural network model was trained by orthogonal test data. Then, using the trained network function model to predict the unconfined compressive strength of all the mixture ratios of tri-ash stabilized crushed stones in 7 days, through the analysis of the prediction results, and combining with the results of orthogonal test, On the basis of the optimum mix ratio, the unconfined compressive strength test, split test and compressive resilience modulus test are carried out for tri-ash stabilized crushed stone. In the laboratory tests such as freeze-thaw stability test and water stability test, the factors influencing the test results are analyzed, and the corresponding evaluation is made. By scanning electron microscope, the microstructure of tri-ash stabilized macadam with optimum mix ratio of each age was analyzed, and the strength growth law of tri-ash stabilized crushed stone was studied from microcosmic level. Through the above analysis, the tri-ash stabilized macadam has good road performance, the unconfined compressive strength of the optimum mix ratio is 2.48 MPa, and the combination of orthogonal test and BP artificial neural network algorithm. The prediction of the strength of tri-ash stabilized crushed stone is less than 5, and the prediction result is accurate. The conclusion of this paper can provide some reference for the application of tri-ash stabilized crushed stone in the road base course of seasonal frozen area in the future.
【学位授予单位】：东北林业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U414

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