本文選題：滑坡　切入點(diǎn)：BP神經(jīng)網(wǎng)絡(luò)　出處：《湖南科技大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：麻陽(yáng)地區(qū)位于沅麻盆地中南部,處于雪峰山與武陵山脈之間,是湖南省滑坡地質(zhì)災(zāi)害易發(fā)區(qū)之一。為了查明麻陽(yáng)地區(qū)潛在滑坡地質(zhì)災(zāi)害,科學(xué)、合理地采取防災(zāi)、減災(zāi)措施,保護(hù)人們生命財(cái)產(chǎn)安全,依托《湖南省麻陽(yáng)苗族自治縣1:5萬(wàn)地質(zhì)災(zāi)害詳細(xì)調(diào)查》項(xiàng)目,開(kāi)展基于BP神經(jīng)網(wǎng)絡(luò)麻陽(yáng)地區(qū)滑坡穩(wěn)定性分析與預(yù)測(cè)的一系列研究工作,取得了如下研究成果:(1)針對(duì)麻陽(yáng)地區(qū)滑坡地質(zhì)災(zāi)害的發(fā)育特點(diǎn),以“地質(zhì)過(guò)程機(jī)制分析 量化評(píng)價(jià)”的學(xué)術(shù)思想為核心,結(jié)合野外地質(zhì)災(zāi)害詳細(xì)調(diào)查,建立了一套滑坡穩(wěn)定性分析與預(yù)測(cè)的方法,形成了較為完整的研究滑坡穩(wěn)定性分析的技術(shù)路線。研究成果直接指導(dǎo)區(qū)域性地質(zhì)災(zāi)害防治,取得了較好的應(yīng)用效果。這套技術(shù)路線和方法的建立,豐富了滑坡穩(wěn)定性分析與預(yù)測(cè)的研究?jī)?nèi)容,對(duì)類似地質(zhì)條件下滑坡的穩(wěn)定性分析具有一定的指導(dǎo)意義。(2)在系統(tǒng)分析研究麻陽(yáng)地區(qū)滑坡資料的基礎(chǔ)上,通過(guò)運(yùn)用數(shù)理統(tǒng)計(jì)與數(shù)值分析方法,詳細(xì)地研究了該地區(qū)滑坡災(zāi)害類型與分布特征。研究結(jié)果表明,區(qū)內(nèi)滑坡地質(zhì)災(zāi)害主要發(fā)生海拔高度為175m-275m的丘陵區(qū),紅層中滑坡占總數(shù)的88.37%,順向滑坡占總數(shù)的44.96%�；掳l(fā)育概率與坡度間關(guān)系近似服從參數(shù)為μ=33.1,σ2=10.22的正態(tài)分布,且當(dāng)坡度為23°~43°時(shí),發(fā)生滑坡的概率最高。(3)在對(duì)區(qū)內(nèi)滑坡災(zāi)害類型及分布特征研究的基礎(chǔ)上,篩選出平均坡度、降雨強(qiáng)度等八大滑坡致災(zāi)因子,建立了適用于天然和暴雨兩種不同工況下的麻陽(yáng)地區(qū)BP神經(jīng)網(wǎng)絡(luò)滑坡穩(wěn)定性分析與預(yù)測(cè)模型,并驗(yàn)證了七處邊坡穩(wěn)定性,其準(zhǔn)確率較高,證明所建立的預(yù)測(cè)模型具有參考意義。(4)通過(guò)運(yùn)用Geo Studio軟件,對(duì)麻陽(yáng)地區(qū)典型土質(zhì)邊坡的穩(wěn)定性進(jìn)行了數(shù)值模擬研究,證明了應(yīng)用Geo Studio軟件中的Slope/W模塊對(duì)麻陽(yáng)地區(qū)土質(zhì)邊坡穩(wěn)定性分析是可行。(5)分析探討了赤平投影穩(wěn)定性分析方法的優(yōu)缺點(diǎn)。推導(dǎo)論證后,發(fā)現(xiàn)公式適用于僅受重力作用的巖質(zhì)邊坡平面與楔形兩種不同變形破壞模式。通過(guò)系統(tǒng)的對(duì)麻陽(yáng)地區(qū)滑坡地質(zhì)災(zāi)害類型及分布特征研究,以及基于Matlab的BP神經(jīng)網(wǎng)絡(luò)在麻陽(yáng)地區(qū)滑坡穩(wěn)定性分析與預(yù)測(cè)中的研究,構(gòu)建了適用于麻陽(yáng)地區(qū)的滑坡穩(wěn)定性分析與預(yù)測(cè)模型,其將對(duì)該地區(qū)滑坡地質(zhì)災(zāi)害的防治具有指導(dǎo)作用。同時(shí),也為其它從事地質(zhì)災(zāi)害研究工作者提供新的研究基礎(chǔ)和理論依據(jù)。
[Abstract]:The Mayang area is located in the central and southern part of the Yuanma Basin, between Xuefeng Mountain and Wuling Mountains, and is one of the prone areas for landslide geological disasters in Hunan Province. In order to find out the potential landslide geological hazards in Mayang area, scientific and reasonable measures for disaster prevention and mitigation should be taken. To protect the safety of people's lives and property, and to carry out a series of research work on the analysis and prediction of landslide stability in Mayang area based on BP neural network, relying on the project of "1: 50,000 geological hazard detailed investigation" in Mayang Miao Autonomous County, Hunan Province. The following research results have been obtained: (1) according to the developmental characteristics of landslide geological hazards in Mayang area, the academic thought of "quantitative evaluation of geological process mechanism" is taken as the core, and combined with the detailed investigation of field geological hazards, A set of methods for landslide stability analysis and prediction are established, and a relatively complete technical route for landslide stability analysis is formed. The research results directly guide the prevention and treatment of regional geological hazards. The establishment of this set of technical routes and methods enriches the research contents of landslide stability analysis and prediction. On the basis of systematic analysis and study of landslide data in Mayang area, the method of mathematical statistics and numerical analysis is used to analyze the stability of landslide under similar geological conditions. The types and distribution characteristics of landslide disasters in this area are studied in detail. The results show that the landslide geological hazards mainly occur in hilly areas with an altitude of 175m-275m. In the red bed, the landslide accounts for 88.37% of the total, and the direct landslide accounts for 44.96% of the total. The relationship between the development probability of the landslide and the slope is approximately applied to the normal distribution with parameters 渭 33.1, 蟽 2 and 10.22, and when the slope is 23 擄or 43 擄, The probability of landslide occurrence is the highest. (3) based on the study of the types and distribution characteristics of landslide disasters in the region, eight major landslide disaster factors, such as average slope, rainfall intensity, etc., are screened out. The stability analysis and prediction model of BP neural network landslide in Mayang area is established, which is suitable for natural and rainstorm conditions. The stability of seven slopes is verified, and the accuracy of the model is high. It is proved that the prediction model has reference significance. (4) by using Geo Studio software, the stability of typical soil slope in Mayang area is numerically simulated. It is proved that it is feasible to use the Slope/W module of Geo Studio software to analyze the stability of soil slope in Mayang area. It is found that the formula is suitable for two different deformation and failure modes of rock slope which are only affected by gravity. The types and distribution characteristics of landslide geological hazards in Mayang area are systematically studied. And the research of BP neural network based on Matlab in the stability analysis and prediction of landslide in Mayang area is carried out, and a landslide stability analysis and prediction model suitable for Mayang area is constructed. It will play a guiding role in the prevention and treatment of landslide geological hazards in this area. At the same time, it will also provide new research basis and theoretical basis for other researchers engaged in geological hazard research.
【學(xué)位授予單位】：湖南科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：P642.22

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