本文選題：三灰穩(wěn)定碎石　切入點(diǎn)：正交試驗(yàn)　出處：《東北林業(yè)大學(xué)》2015年碩士論文

【摘要】：本文以三灰穩(wěn)定碎石為研究對(duì)象,首先對(duì)石灰、粉煤灰、水泥以及級(jí)配碎石的工程性質(zhì)進(jìn)行了分析；然后以石灰、粉煤灰、水泥為影響因素,7d無(wú)側(cè)限抗壓強(qiáng)度為考核指標(biāo),對(duì)三灰穩(wěn)定碎石的配合比進(jìn)行了正交試驗(yàn)設(shè)計(jì),根據(jù)正交試驗(yàn)結(jié)果,分別采用極差分析法和方差分析法進(jìn)行了三因素的顯著性影響分析；同時(shí)根據(jù)正交試驗(yàn)的試驗(yàn)數(shù)據(jù),采用MATLAB軟件的BP人工神經(jīng)網(wǎng)絡(luò)建立三灰穩(wěn)定碎石的7d無(wú)側(cè)限抗壓強(qiáng)度預(yù)測(cè)模型,通過(guò)已有的正交試驗(yàn)數(shù)據(jù)對(duì)人工神經(jīng)網(wǎng)絡(luò)模型進(jìn)行訓(xùn)練,然后利用已經(jīng)訓(xùn)練完畢的網(wǎng)絡(luò)函數(shù)模型對(duì)三灰穩(wěn)定碎石的所有配合比的7d無(wú)側(cè)限抗壓強(qiáng)度進(jìn)行預(yù)測(cè),通過(guò)對(duì)預(yù)測(cè)結(jié)果的分析,同時(shí)結(jié)合正交試驗(yàn)的配合比結(jié)果,并考慮經(jīng)濟(jì)指標(biāo)等因素,選定三灰穩(wěn)定碎石的最優(yōu)配合比；在最優(yōu)配合比的基礎(chǔ)上,對(duì)三灰穩(wěn)定碎石進(jìn)行無(wú)側(cè)限抗壓強(qiáng)度試驗(yàn)、劈裂試驗(yàn)、抗壓回彈模量試驗(yàn)、凍融穩(wěn)定性試驗(yàn)及水穩(wěn)性試驗(yàn)等室內(nèi)試驗(yàn),對(duì)影響試驗(yàn)結(jié)果的各個(gè)因素進(jìn)行了分析,并做出相應(yīng)的評(píng)價(jià)；通過(guò)掃描電子顯微鏡對(duì)各個(gè)齡期最優(yōu)配合比的三灰穩(wěn)定碎石材料進(jìn)行微觀結(jié)構(gòu)分析,從微觀層面分析研究三灰穩(wěn)定碎石的強(qiáng)度增長(zhǎng)規(guī)律,有助于更加全面的了解其結(jié)構(gòu)特性。通過(guò)以上分析,三灰穩(wěn)定碎石具有良好的路用性能,最優(yōu)配合比的7d無(wú)側(cè)限抗壓強(qiáng)度為2.48MPa,通過(guò)正交試驗(yàn)和BP人工神經(jīng)網(wǎng)絡(luò)算法相結(jié)合,預(yù)測(cè)三灰穩(wěn)定碎石強(qiáng)度,誤差均小于5%,預(yù)測(cè)結(jié)果準(zhǔn)確。本文的結(jié)論可以為今后三灰穩(wěn)定碎石在季凍區(qū)道路基層中的應(yīng)用提供一定的參考和借鑒。
[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.
【學(xué)位授予單位】：東北林業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U414

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