ROCK ENINGEERING SYSTEM BASED NTIFICATION MODEL FOR POTENTIAL LANDSLIDE

CHEN Jun; GUO Guo

doi:10.13544/j.cnki.jeg.2014.03.015

Volume 22 Issue 3

Jun. 2014

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CHEN Jun, GUO Guo. 2014: ROCK ENINGEERING SYSTEM BASED NTIFICATION MODEL FOR POTENTIAL LANDSLIDE. JOURNAL OF ENGINEERING GEOLOGY, 22(3): 456-463. doi: 10.13544/j.cnki.jeg.2014.03.015

Citation:

CHEN Jun, GUO Guo. 2014: ROCK ENINGEERING SYSTEM BASED NTIFICATION MODEL FOR POTENTIAL LANDSLIDE. JOURNAL OF ENGINEERING GEOLOGY, 22(3): 456-463. doi: 10.13544/j.cnki.jeg.2014.03.015

CHEN Jun, GUO Guo. 2014: ROCK ENINGEERING SYSTEM BASED NTIFICATION MODEL FOR POTENTIAL LANDSLIDE. JOURNAL OF ENGINEERING GEOLOGY, 22(3): 456-463. doi: 10.13544/j.cnki.jeg.2014.03.015

Citation:

CHEN Jun, GUO Guo. 2014: ROCK ENINGEERING SYSTEM BASED NTIFICATION MODEL FOR POTENTIAL LANDSLIDE. JOURNAL OF ENGINEERING GEOLOGY, 22(3): 456-463. doi: 10.13544/j.cnki.jeg.2014.03.015

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ROCK ENINGEERING SYSTEM BASED NTIFICATION MODEL FOR POTENTIAL LANDSLIDE

doi: 10.13544/j.cnki.jeg.2014.03.015

CHEN Jun¹,
GUO Guo^{2
,
,}

1.
Resources and Environment Engineering College, Guizhou University, Guiyang 550025;
2.
Hydrochina Guiyang Engineering Corporation, Guiyang 550081

Funds:

Received Date: 2014-02-15
Rev Recd Date: 2014-05-16
Publish Date: 2014-06-25

Abstract

Abstract

The stability of a potential landslide involves the interaction and inter-coupling of multi-factors. So it is very difficult to evaluate the interaction relationship among the influencing factors quantitatively and determine weight considering multi-factors. Therefore according to other scholars' achievement and the principle of rock engineering system theory's matrix construction and decoding,a new potential landslide identification model is suggested based on improved BP network. Then,the arithmetic flow of coding interaction matrix and considering multi-factors determine weight are deduced. At last,the model is applied to identify potential soil landslides. The research results show that the parameters analysis of artificial neural network can be used not only to potential landslide identification but also to determine weight considering multi-factors.
- Rock engineering system(RES),
- Potential landslides,
- Identification model,
- BP network

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References(1)

References

[1] 李秀珍, 王成华,邓宏艳.DDA法和Fisher判别法在潜在滑坡判识中的应用比较.[J]岩土力学, 2011, 32 (1): 186～192.Li Xiuzhen, Wang Chenghua, Deng Hongyan.A comparison of distance and Fisher discrimination methods applied to identifying potential landslides.Rock and Soil Mechanics, 2011, 32 (1): 186～192.

[2] 徐邦栋.滑坡分析与防治[M].北京:中国铁道出版社, 2001.Xu Bangdong.Landslide Analysis and Prevention.Beijing: China Railway Publishing House, 2001.

[3] 邵铁全, 彭建兵,刘云焕,等.滑坡灾害超前预判技术研究[J].工程地质学报, 2007, 15 (4): 564～568.Shao Tiequan, Peng Jianbing, Liu Yunhuan, et al.The technique for pre-estimation geological hazard of landslide.Journal of Engineering Geology, 2007, 15 (4): 564～568.

[4] Chigira M,Duan F J,Yagi H,et al.Using an airborne laser scanner for the identification of shallow landslides and susceptibility assessment in an area of ignimbrite overlain by permeable pyroclastics[J].Landslides, 2004, 1 (3): 203～209.

[5] 牛宝茹.滑坡灾害遥感调查与分析[J].工程地质学报, 2002, 10 (増): 15～17.Niu Baoru.Investigation and analysis of remote sensing on landslide hazard.Journal of Engineering Geology, 2002, 10 (S): 15～17.

[6] 李秀珍, 王成华,邓宏艳.灰色关联度法和距离判别分析法在溪洛渡库区潜在滑坡判识中的应用.中国地质灾害与防治学报, 2010, 21 (4): 77～81.Li Xiuzhen, Wang Chenghua, Deng Hongyan.Application of grey relation analysis and distance discrimination analysis methods in discriminating potential landslides of Xiluodu Reservoir area.The Chinese Journal of Geological Hazard and Control, 2010, 21 (4): 77～81.

[7] 李秀珍, 王成华,宋刚.基于 Fisher 判别分析法的潜在滑坡判识模型及其应用[J].中国地质灾害与防治学报, 2009, 20 (4): 23～26, 40.Li Xiuzhen, Wang Chenghua, Song Gang.Potential landslide identification model based on Fisher discrimination analysis method and its application.The Chinese Journal of Geological Hazard and Control, 2009, 20 (4): 23～26, 40.

[8] 宫清华,黄光庆.基于人工神经元网络的滑坡稳定性预测评价[J].灾害学, 2009, 24 (3): 61～65, 74.Gong Qinghua, Huang Guangqing.Prediction and evaluation of landslide stability based on artificial neural network.Journal of Catastrophology, 2009, 24 (3): 61～65, 74.

[9] 贺可强,雷建和.边坡稳定性的神经网络预测研究[J].地质与勘探, 2001, 37 (6): 72～75.He Keqiang, Lei Janhe.A predication of the slope stability based on neural network.Geology and Prospecting, 2001, 37 (6): 72～75.

[10] 向俊红.概论滑坡稳定性影响因素[J].铁道勘察, 2009, (4): 27～28.Xiang Junhong.A Summary for influencing factors on stability of slides.Railway Investigation and Surveying, 2009, (4): 27～28.

[11] 丁继新, 周圣华,陈梦熊等,基于多因素相互作用关系矩阵的边坡稳定性定量评价[J].工程勘察, 2006, (7): 5～8.Ding Jixin, Zhou Shenghua, Chen Mengxiong, et al.Quantitative evaluation of slope stability based on the multi-factor interaction related matrix.Journal of Geotechnical Investigation & Surveying, 2006, (7): 5～8.

[12] Hudson J A.Rock Engineering systems: Theory and Practice[D].Horwood, Chichester, 1992.

[13] 杜广印, 尚彦军.从影响因素相互作用关系分析岩石边坡的稳定性[J].江苏地质, 2000, 24 (1): 54.Du Guangyin, Shang Yanjun.Interaction of the factors affecting rock slope stability.Jiangsu Geology, 2000, 24 (1): 54.

[14] 张晓晖, 王辉,戴福初,等.基于关系矩阵和模糊集合的斜坡稳定性综合评价[J].岩石力学与工程学报, 2000, 19 (3): 346～351.Zhang Xiaohui, Wang Hui, Dai Fuchu, el at.Comprehensive evaluation of slope stability using interaction matrix and fuzzy sets.Chinese Journal of Rock Mechanics and Engineering, 2000, 19 (3): 346～351.

[15] 赵建军.公路边坡稳定性快速评价方法及应用研究[D].成都:成都理工大学, 2007.Zhao Jianjun.Study and Application on Rapid Slope Stability Evaluation Method for High Way.Chengdu: Chengdu Technology University, 2007.

[16] Yang Y,Zhang Q.The application of neural networks to rock engineering systems(RES)[J].International Journal of Rock Mechanics and Mining Sciences, 1998, 35 (6): 727～745.

[17] 杨英杰, 张清.岩石工程相互作用矩阵的神经网络编码方法[J].土木工程学报, 1998, 31 (2): 21～29.Yang Yingjie, Zhang Qing.Artificial neural network coding method for rock engineering interaction matrix.China Civil Engineering Journal, 1998, 31 (2): 21～29.

[18] Jiao Y, Hudson J A.The fully-coupled model for rock engineering systems[J].International Journal of Rock Mechanics and Mining Sciences and Geomechanics, 1995, 32 (5): 491～512.

[19] 郭立.深部硬岩岩爆倾向性动态预测模型及其应用[D].长沙:中南大学, 2004.Guo Li.The Model to Dynamically Predict Rock Bursts Proneness of Hard Rock at Depth and Its Application.Changsha: Central South University, 2004.

[20] 马东霞, 郭立,杨殿.考虑多因素交互作用影响的权重确定[J].辽宁工程技术大学学报, 2006, 25 (4): 521～523.Ma Dong-xia, Guo Li, Yang Dian.Approach to determine weight considering multi-factors interaction influence.Journal of Liaoning Technical University, 2006, 25 (4): 521～523.

[21] 贵州省地质环境监测院.贵州省重点地区重大地质灾害隐患点空间数据库[DB].2012.Institute of geological environmental monitoring in Guizhou Province.Major geological disaster point spatial database of key areas in Guizhou Province.2012.

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