本文選題：分層土 + 靜力觸探數(shù)據(jù)��； 參考：《山東建筑大學(xué)》2017年碩士論文

【摘要】：眾所周知,巖土材料具有空間結(jié)構(gòu)性和隨機(jī)性雙重特征,是結(jié)構(gòu)性與隨機(jī)性的統(tǒng)一。因此在考慮巖土相關(guān)分析時(shí),需要考慮隨機(jī)性以及土體參數(shù)的空間相關(guān)性。最初將巖土設(shè)計(jì)參數(shù)假設(shè)為隨機(jī)變量來(lái)處理,忽略土體參數(shù)的空間相關(guān)特性。本文重點(diǎn)分析土體參數(shù)的空間相關(guān)性。以收集的山東省黃泛區(qū)6個(gè)不同場(chǎng)地的靜力觸探試驗(yàn)(CPT)數(shù)據(jù)為基礎(chǔ),對(duì)數(shù)據(jù)進(jìn)行整理、分析,計(jì)算得到了其常用隨機(jī)參數(shù),如均值、方差以及相關(guān)距離。同時(shí)研究發(fā)現(xiàn),不同土層之間沒(méi)有明顯的沿深度方向增加的規(guī)律,將場(chǎng)地根據(jù)土層情況進(jìn)行分層研究。將6個(gè)場(chǎng)地中常見(jiàn)的土層分為粉質(zhì)粘土、粘土、粉土以及砂土,研究了各種土層的參數(shù)均值、方差,對(duì)四種土類進(jìn)行了平穩(wěn)性和各態(tài)歷經(jīng)性檢驗(yàn)。從研究結(jié)果來(lái)看,在進(jìn)行去趨勢(shì)項(xiàng)處理后,數(shù)據(jù)的平穩(wěn)性要更好,可以視為平穩(wěn)隨機(jī)場(chǎng)。在此基礎(chǔ)上,采用相關(guān)函數(shù)的矩計(jì)算方法,得到了粉質(zhì)粘土、粉土、粘土和砂土這四種土層的空間分布相關(guān)函數(shù)。對(duì)相關(guān)函數(shù)隨距離增加,尾部出現(xiàn)波動(dòng)明顯的情況,采用了三種處理方法:(1)對(duì)離散度大的無(wú)效點(diǎn)進(jìn)行弱化或刪除,(2)對(duì)所選取的擬合相關(guān)函數(shù)加權(quán),(3)有效數(shù)據(jù)點(diǎn)法。處理后擬合函數(shù)相關(guān)性有顯著提高。對(duì)相關(guān)函數(shù)進(jìn)行模型化分析,在分析土體參數(shù)時(shí)在超過(guò)一定距離后,存在負(fù)相關(guān)的情況,在現(xiàn)有相關(guān)函數(shù)模型基礎(chǔ)上,提出了可以考慮土體相關(guān)函數(shù)負(fù)值的修正相關(guān)函數(shù)模型,從而分別利用四種不同的相關(guān)函數(shù)模型對(duì)四種土類數(shù)據(jù)進(jìn)行了擬合,得到了相關(guān)函數(shù)參數(shù),并推導(dǎo)了相關(guān)距離的求解方法,從而得到山東黃泛區(qū)四種典型土類的相關(guān)函數(shù)、相關(guān)距離及相關(guān)函數(shù)模型,為典型土層的工程應(yīng)用提供參考,同時(shí)為后續(xù)隨機(jī)場(chǎng)分析提供基礎(chǔ)。
[Abstract]:It is well known that geotechnical materials have the dual characteristics of spatial structure and randomness, which are the unity of structure and randomness. Therefore, when considering geotechnical correlation analysis, the randomness and spatial correlation of soil parameters should be considered. At first, the geotechnical design parameters are assumed to be random variables, and the spatial correlation characteristics of soil parameters are ignored. This paper focuses on the spatial correlation of soil parameters. Based on the CPT data collected from six different sites in the Yellow River flood area of Shandong Province, the data are arranged and analyzed, and the common random parameters, such as mean value, variance and correlation distance, are calculated. At the same time, it is found that there is no obvious law of increasing along the depth between different soil layers, and the site is stratified according to the soil conditions. The common soil layers in 6 sites were divided into silty clay silt and sandy soil. The mean and variance of the parameters of each soil layer were studied and the stability and ergodic tests of four kinds of soils were carried out. The results show that the data is more stable and can be regarded as a stationary random field. On this basis, the spatial distribution correlation functions of silty clay, silty soil, clay and sandy soil are obtained by using the moment calculation method of correlation function. For the case that the correlation function increases with the distance and the tail fluctuates obviously, three processing methods: 1) are used to weaken or delete the invalid points with large dispersion degree) the selected fitting correlation function is weighted / 3) the effective data point method is used. The correlation of fitting function was improved significantly after treatment. The correlation function is modeled and analyzed. When the soil parameter is analyzed beyond a certain distance, there is a negative correlation. On the basis of the existing correlation function model, a modified correlation function model considering the negative value of the soil correlation function is proposed. Four kinds of soil data were fitted with four different correlation function models, and the correlation function parameters were obtained, and the solution method of the correlation distance was deduced, thus the correlation functions of four typical soil types in the Yellow River flooding area in Shandong Province were obtained. The correlation distance and the correlation function model provide reference for the engineering application of typical soil layer and provide the basis for the subsequent random field analysis.
【學(xué)位授予單位】：山東建筑大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TU43

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