本文關(guān)鍵詞： 邊坡穩(wěn)定 可靠度 響應(yīng)面法 最優(yōu)化算法　出處：《貴州大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：邊坡巖土體的性質(zhì)參數(shù)具有不確定性和相關(guān)性,傳統(tǒng)的定值分析方法已經(jīng)不能全面的評(píng)價(jià)邊坡的穩(wěn)定性,探討更為有效的評(píng)價(jià)邊坡穩(wěn)定性的方法已成為當(dāng)前重要的研究方向。為了更全面的評(píng)價(jià)邊坡的穩(wěn)定性,在傳統(tǒng)確定性分析的基礎(chǔ)上,研究人員提出了對(duì)邊坡的穩(wěn)定性進(jìn)行可靠度評(píng)價(jià)的思想。鑒于此,論文結(jié)合土性參數(shù)對(duì)邊坡穩(wěn)定的敏感性,對(duì)邊坡可靠度分析方法——響應(yīng)面法做了研究。首先,結(jié)合邊坡土體破壞機(jī)理,建立了適合邊坡工程的二次多項(xiàng)式響應(yīng)面表達(dá)式,探討了二次多項(xiàng)式響應(yīng)面法的MATLAB編程實(shí)現(xiàn)過程。選取土質(zhì)邊坡采用此方法進(jìn)行可靠度分析,以蒙特卡洛法的分析結(jié)果作為對(duì)比,兩者誤差小于5%。說明此方法應(yīng)用于邊坡穩(wěn)定可靠度分析是可行的。其次,分析了土性參數(shù)對(duì)邊坡穩(wěn)定性影響的敏感性,分析結(jié)果對(duì)于簡(jiǎn)化邊坡的可靠度分析具有重要意義。分析表明:土的粘聚力c是影響邊坡可靠度的最敏感的因素,容重γ是最不敏感的因素,而內(nèi)摩擦角φ的敏感性介于兩者之間;土的粘聚力和內(nèi)摩擦角之間的負(fù)相關(guān)性對(duì)邊坡的可靠度有利,在邊坡可靠度分析時(shí)可以適當(dāng)考慮其有利影響。最后,針對(duì)二次多項(xiàng)式響應(yīng)面法的不足,探討了將BP神經(jīng)網(wǎng)絡(luò)響應(yīng)面法應(yīng)用于邊坡的可靠度分析。運(yùn)用BP神經(jīng)網(wǎng)絡(luò)擬合邊坡穩(wěn)定狀態(tài)響應(yīng)面,結(jié)合最優(yōu)化算法分析計(jì)算邊坡的可靠指標(biāo)和失效概率,通過均質(zhì)土和非均質(zhì)土的算例分析表明,該方法應(yīng)用于邊坡的可靠度分析中是可行的,并且簡(jiǎn)單高效。
[Abstract]:The property parameters of slope rock and soil are uncertain and relevant, so the traditional method of fixed value analysis can not evaluate the stability of slope comprehensively. It has become an important research direction to explore more effective methods to evaluate slope stability. In order to evaluate slope stability more comprehensively, based on the traditional deterministic analysis, The researchers put forward the idea of reliability evaluation of slope stability. In view of this, considering the sensitivity of soil parameters to slope stability, the reliability analysis method-response surface method (RSM) is studied in this paper. According to the failure mechanism of slope soil, the quadratic polynomial response surface expression suitable for slope engineering is established, and the MATLAB programming process of quadratic polynomial response surface method is discussed. Compared with the results of Monte Carlo method, the errors of the two methods are less than 5. It is proved that the method is feasible for the reliability analysis of slope stability. Secondly, the sensitivity of the influence of soil parameters on slope stability is analyzed. The analysis results are of great significance to simplify the reliability analysis of slope. The analysis shows that the cohesion of soil c is the most sensitive factor affecting the reliability of slope, and the bulk density 緯 is the least sensitive factor. The sensitivity of internal friction angle 蠁 is between them, and the negative correlation between cohesive force and internal friction angle of soil is favorable to the reliability of slope. In view of the shortcomings of quadratic polynomial response surface method, the reliability analysis of slope using BP neural network response surface method is discussed. The BP neural network is used to fit the slope stable state response surface. The reliability index and failure probability of slope are analyzed and calculated by the optimization algorithm. The example of homogeneous soil and heterogeneous soil shows that this method is feasible and simple and efficient in the reliability analysis of slope.
【學(xué)位授予單位】：貴州大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TU43

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本文編號(hào)：1552427