【摘要】：云南省海拔平均在2000米以上,由于整體地勢較高,受限于較為不利的地形和地貌條件,很多變電站要在山地上建設(shè),進(jìn)行大量的填方挖方構(gòu)成變電站的邊坡。山地變電站邊坡失穩(wěn)會給云南電力系統(tǒng)帶來巨大影響,因此有必要對變電站邊坡的穩(wěn)定性進(jìn)行分析與監(jiān)測。目前,在土木工程中運(yùn)用了很多技術(shù)和方法來完成邊坡結(jié)構(gòu)的安全性監(jiān)測,并且在不斷地改進(jìn)和優(yōu)化,以前的大部分監(jiān)測實例都是采用人工觀測或是使用單點(diǎn)的監(jiān)測儀器來完成,而目前隨著科學(xué)技術(shù)的進(jìn)步,運(yùn)用更加精確、更加合理的模型分析和自動化監(jiān)測來實現(xiàn)。基于以上需求本文開展了山地變電站的邊坡狀態(tài)檢測與穩(wěn)定性分析研究。研究內(nèi)容主要包含以下幾個方面:(1)進(jìn)行山地變電站邊坡的地質(zhì)結(jié)構(gòu)分析及尺寸測量,運(yùn)用GeoStudio的Slope/w模塊建立仿真分析模型,對邊坡的滑面進(jìn)行針對性搜索得出臨界滑裂面,并對臨界滑裂面上點(diǎn)進(jìn)行受力計算,分析最大受力區(qū)域,根據(jù)仿真結(jié)論確定邊坡危險滑面位置在二級臺階下方2至6m處。(2)針對山地變電站邊坡結(jié)構(gòu),分析極限平衡條分法的適用性,根據(jù)受力的假設(shè)條件差異,分別運(yùn)用Fellenius法、Bishop法、Janbu法進(jìn)行邊坡結(jié)構(gòu)的狀態(tài)分析,安全系數(shù)最小值為1.304,結(jié)論得出布設(shè)傳感器進(jìn)行監(jiān)測時主要針對回填土質(zhì)下級邊坡位置,并完成山地變電站邊坡監(jiān)測模型的建立。(3)根據(jù)山地變電站邊坡的實際應(yīng)變監(jiān)測數(shù)據(jù),進(jìn)行邊坡的穩(wěn)定性分析,其最大實際應(yīng)變值為110με,此應(yīng)變值處于安全范圍以內(nèi),判定該邊坡為穩(wěn)定狀態(tài)�；赗BF神經(jīng)網(wǎng)絡(luò)算法設(shè)計了具有預(yù)測能力的分析模型,將邊坡壓力預(yù)測值與監(jiān)測值相互結(jié)合做出對比分析,分析結(jié)果得出壓力變化曲線擬合度較高且壓力相對誤差值小于0.1,變化值較為穩(wěn)定,從而判定此邊坡處于穩(wěn)定狀態(tài)。
[Abstract]:The average elevation of Yunnan Province is more than 2000 meters. Due to the relatively high overall topography and limited by the more unfavorable terrain and geomorphological conditions, many substations have to be constructed on the mountain ground, and a large number of fill excavations are carried out to make up the slope of the substation. The slope instability of mountain substation will bring great influence to Yunnan electric power system, so it is necessary to analyze and monitor the slope stability of substation. At present, many techniques and methods have been used in civil engineering to monitor the safety of slope structure, and have been continuously improved and optimized. Most of the previous monitoring examples were accomplished by artificial observation or single point monitoring instrument, but now with the progress of science and technology, more accurate and reasonable model analysis and automatic monitoring are used. Based on the above requirements, this paper carried out the slope state detection and stability analysis of mountain substation. The research contents mainly include the following aspects: (1) the geological structure analysis and size measurement of mountain substation slope are carried out, and the simulation analysis model is established by using the Slope/w module of GeoStudio. The critical slip surface is obtained by searching the slip surface of the slope, and the stress on the critical slip surface is calculated, and the maximum force area is analyzed. According to the simulation conclusion, the dangerous slide surface position of the slope is determined at 2 to 6 m below the secondary step. (2) according to the slope structure of the mountain substation, the applicability of the limit equilibrium strip method is analyzed, and the Fellenius method is used respectively according to the difference of the stress assumption condition. Bishop method and Janbu method are used to analyze the state of slope structure. The minimum safety factor is 1.304. Conclusion: when installing sensors for monitoring, it is mainly aimed at the lower slope position of backfill soil. The monitoring model of mountain substation slope is established. (3) according to the actual strain monitoring data of mountain substation slope, the slope stability is analyzed. The maximum actual strain value is 110 渭 蔚, and the strain value is within the safe range. The slope is determined to be stable. Based on the RBF neural network algorithm, a predictive analysis model is designed, and the slope pressure prediction value is combined with the monitoring value to make a comparative analysis. The analysis results show that the curve of pressure variation has higher fitting degree and the relative error of pressure is less than 0.1, and the variation value is relatively stable, which determines that the slope is in a stable state.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM63;TP274

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 楊庚字;土坡穩(wěn)定分析中條分法的解析計算[J];力學(xué)與實踐;1995年02期

2 周策,陳文俊,湯國起;滑坡崩塌巖體推力監(jiān)測系統(tǒng)的研究[J];探礦工程(巖土鉆掘工程);2004年01期

3 萬華琳,蔡德所,何薪基,李俊美;高陡邊坡深部變形的光纖傳感監(jiān)測試驗研究[J];三峽大學(xué)學(xué)報(自然科學(xué)版);2001年01期

4 柴敬,魏世明,常心坦,李毅;巖梁變形監(jiān)測的分布式光纖傳感技術(shù)[J];巖石力學(xué)與工程學(xué)報;2004年23期

5 文海家,張永興,柳源;滑坡預(yù)報國內(nèi)外研究動態(tài)及發(fā)展趨勢[J];中國地質(zhì)災(zāi)害與防治學(xué)報;2004年01期

6 羅伶;某變電站主變壓器地基不均勻沉降分析與處理[J];電力勘測設(shè)計;2004年04期

7 代志勇,袁勇,劉永智;基于光纖應(yīng)力傳感的山體滑坡監(jiān)測系統(tǒng)研究[J];光學(xué)與光電技術(shù);2004年03期

8 李玉岐,謝康和;深基開挖引起的基坑變形預(yù)測與研究分析[J];工業(yè)建筑;2004年09期

9 李川,張以謨,劉鐵根,周楓,李英娜;光纖雙向應(yīng)變-位移點(diǎn)式傳感器[J];光子學(xué)報;2003年04期

10 劉利民;基坑工程事故的原因與對策[J];建筑安全;2001年08期

相關(guān)會議論文 前1條

1 李川;張以謨;孫宇;趙永貴;高黎明;;檢測隧道二次襯砌的貼片式光纖Bragg光柵應(yīng)變傳感器[A];光電技術(shù)與系統(tǒng)文選——中國光學(xué)學(xué)會光電技術(shù)專業(yè)委員會成立二十周年暨第十一屆全國光電技術(shù)與系統(tǒng)學(xué)術(shù)會議論文集[C];2005年

相關(guān)碩士學(xué)位論文 前6條

1 彭李;基于光纖光柵應(yīng)變樁的邊坡結(jié)構(gòu)監(jiān)測與穩(wěn)定性灰色模型研究[D];昆明理工大學(xué);2015年

2 胡明耀;輸電鐵塔的光纖光柵結(jié)構(gòu)監(jiān)測與時序融合研究[D];昆明理工大學(xué);2015年

3 王寬;宏彎損耗的分布式光纖監(jiān)測系統(tǒng)與邊坡應(yīng)用研究[D];昆明理工大學(xué);2015年

4 張豐偉;山火的無線傳感與RBF識別研究[D];昆明理工大學(xué);2015年

5 羅元斌;邊坡工程穩(wěn)定性分析及處治技術(shù)研究[D];中南大學(xué);2006年

6 張冬曉;建筑基坑監(jiān)測及預(yù)測預(yù)報系統(tǒng)研究[D];中南大學(xué);2005年

，

本文編號：2406790