基于BP神经网络的竹溪鲁滩坝滑坡稳定性分析
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摘要
鲁滩坝滑坡位于竹溪县新州镇鲁滩坝村。自2016年以来,鲁滩坝滑坡一直处于持续变形阶段,直接导致其下方部分居民房屋被破坏。本文在掌握滑坡区地质资料的基础上,结合现场调查访问,对鲁滩坝村滑坡的地质与变形特征进行了详细的描述;并通过BP神经网络对滑坡进行敏感性分析得出结论,在降雨工况下该类滑坡可能发生局部圆弧形滑移破坏,发生整体或大规模滑移变形破坏的可能性较小。本研究对类似工程稳定性分析具有借鉴与指导意义。
Lutanba landslide is located in Lutanba village, XinZhou town, ZhuXi county. Since 2016, the Lutanba landslide has been in a continuous deformation stage, directly causing the destruction of some residents' houses below it. Based on the geological data of the landslide area and the field investigation, the geological and deformation characteristics of Lutanba landslide are described in detail.Through the sensitivity analysis of the landslide by BP neural network, the conclusion is drawn that under the working condition of rainfall,this kind of landslide may occur partial circular arc slip failure, and it is less likely to occur overall or large-scale slip deformation failure.This study has reference and guiding significance for the stability analysis of similar projects.
Lutanba landslide is located in Lutanba village, XinZhou town, ZhuXi county. Since 2016, the Lutanba landslide has been in a continuous deformation stage, directly causing the destruction of some residents' houses below it. Based on the geological data of the landslide area and the field investigation, the geological and deformation characteristics of Lutanba landslide are described in detail.Through the sensitivity analysis of the landslide by BP neural network, the conclusion is drawn that under the working condition of rainfall,this kind of landslide may occur partial circular arc slip failure, and it is less likely to occur overall or large-scale slip deformation failure.This study has reference and guiding significance for the stability analysis of similar projects.
引文
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[2]许波.蠕动型滑坡变形失稳特征及滑动模型研究[D].北京科技大学,2017.
[3]魏瑞.页岩地层水力裂缝剪切滑移机理研究[D].西南石油大学,2015.
[4]汤连生,桑海涛,罗珍贵,孙银磊.土体抗拉张力学特性研究进展[J].地球科学进展,2015,30(03):297-309.
[5]夏开宗,陈从新,刘秀敏,周意超,程关文,宋娅芬.水力作用下缓倾顺层复合介质边坡滑移破坏机制分析[J].岩石力学与工程学报,2014,33(S2):3766-3775.
[6]邓茂林.视倾向滑移型滑坡形成条件与失稳机理研究[D].成都理工大学,2014.
[7]王力.库水联合降雨作用下三峡库区树坪滑坡复活机理研究及预测评价[D].三峡大学,2014.
[8]陈迎宾,郑冰,袁东山,胡烨,王彦青.大邑构造须家河组气藏裂缝发育特征及主控因素[J].石油实验地质,2013,35(01):29-35.
[9]朱大鹏.三峡库区典型堆积层滑坡复活机理及变形预测研究[D].中国地质大学,2010.
[10]于永贵.三峡库区万州、开县段堆积层滑坡发育规律及破坏模式[D].中国地质大学(北京),2008.
[11]龚颖,刘铁军,张建同.基于瑞典条分法的滑坡稳定性反演分析及评价[J].建筑施工,2019,41(01):168-172.
[12]李小娟,马红彬.基于神经网络的铁路路基沉降因素敏感度分析[J].铁道标准设计,2018,62(11):39-43.