[an error occurred while processing this directive] ������� 2018, 37(3) 945-951 DOI:   10.3969/j.issn.1004-5589.2018.03.027  ISSN: 1004-5589 CN: 22-1111/P

����Ŀ¼ | ����Ŀ¼ | ������� | �߼�����                                                            [��ӡ��ҳ]   [�ر�]
���̵���
��չ����
������Ϣ
Supporting info
PDF(551KB)
[HTMLȫ��]
�����[PDF]
�����
�����뷴��
�ѱ����Ƽ�������
�����ҵ����
�������ù�����
����
Email Alert
���·���
���������Ϣ
���Ĺؼ����������
���¸���
�߼��ع�ģ��
ȷ����ϵ��
���������������
������
����־
����
���
PubMed
Article by Wang Y
Article by Du L
Article by He S
Article by Cai W
�߼��ع�ģ���ڱ����ȶ��Է����е�Ӧ��
������, ����־, ����, ��ΰ��
���ִ�ѧ ���蹤��ѧԺ, ���� 130026
ժҪ�� �����߼��ع�ģ�ͺ�ȷ����ϵ��CF��������ģ�ͣ�ʹ���ռ�����22������ʵ�������ضȡ��ھ������½ǡ��¸ߡ���Ħ���ǺͿ�϶ѹ��������Ӱ��������Ϊ�Ա���������״̬��Ϊ�������Ӧ��SPSSȡ��ͬ�Ļ��¸���P�벻���¸���1-P�ı�ֵ����Ȼ����Z���лع����������õĻ��¸������ģ�ͷ��������������ϣ��Ա�����ѡȡZ=±10ʱ�ĺ���ģ�Ͷ�����8����½�����֤��֤��Ԥ��ģ�͵ĺ����ԡ�
�ؼ����� ���¸���   �߼��ع�ģ��   ȷ����ϵ��  
Application of logistic regression model in slope stability analysis
WANG Yan-long, DU Li-zhi, HE Sai, CAI Wei-jia
College of Construction Engineering, Jilin University, Changchun 130026, China
Abstract: The logistic regression model and the deterministic coefficient CF are used to establish the probability model. There are 22 cases of slopes. The unit weight, cohesion, slope angle, slope height, internal friction angle and pore-pressure ratio are taken as independent variables and the slope state is taken as dependent variable. Natural logarithm Z of the ratio of landslide probability P to 1-P is used for regression analysis by SPSS. The fitting models of landslide probability are fed back to the sample parameters and the errors are compared. Finally the function model of Z=±10 is selected to verify the other 8 groups of slopes, which proves the rationality of the model.
Keywords: probability of landslide   logistic regression model   deterministic coefficient  
�ո����� 2017-12-12 �޻����� 2018-03-31 ����淢������  
DOI: 10.3969/j.issn.1004-5589.2018.03.027
������Ŀ:

������Ȼ��ѧ����41402246��.

ͨѶ����: ����־(1979),��,������,˶ʿ����ʦ,��Ҫ���¹�����̽�����������о�.E-mail:dulizhi98@jlu.edu.cn
���߼��:
����Email: dulizhi98@jlu.edu.cn

�ο����ף�
[1] ������,������,������,��.��ʯ�����ӻ��»����������ȶ��Է���[J].�������, 2016,35(3):894-901. WANG Qi-guo,JING Zeng-hu,CHEN Lian-jun,et al.Analysis on the basic characteristics and stability of Qingshiliang near dam landslide[J].Global Geology,2016,35(3):894-901.
[2] ����,٦��,���,��.FLAC 3Dǿ���ۼ������ڱ����ȶ������е�Ӧ��[J].�������,2013,32(1):158-164 JI Cong,NIE Lei,MA Hong,et al.Application of FLAC 3D strength reduction theory in slope stability analysis[J].Global Geology,2013, 32(1):158-164.
[3] ������,��ѧ��,��ѩ��,��.���¸����ڱ����ȶ��Է����е�Ӧ��[J].�ֺ�ѧ,2016,31(1):7-10,16. RAO Yun-zhang,ZHANG Xue-yan,LI Xue-zhen,et al.Probability of landslide in the application of slope stability analysis[J].Journal of Catastrophology,2016,31(1):7-10,16.
[4] ����,����,������,��.���ʻ��·����������¶ȼ��ϵ�о�[J].���̵���ѧ��,2013,21(4):607-612. GUO Guo,CHEN Yun,LI Ming-hui,et al.Study on the relationship between probability and slope of soil landslide[J].Journal of Engineering Geology,2013,21(4):607-612.
[5] �½�,��־��,������.���µ��׻��ȷ����������Ԥ��ģʽ[J].��ʯ��ѧ�빤��ѧ��,2005,24(13):2392-2396. CHEN Jian, YANG Zhi-fa, LIU Heng-qiu.Elasticity partition of landslide and its probability forecasting model[J].Chinese Journal of Rock Mechanics and Engineering,2005,24(13):2392-2396.
[6] �½�,��־��,����.��Ͽ�������·��������뽵ˮ�����Ĺ�ϵ[J].��ʯ��ѧ�빤��ѧ��,2005(17):3052-3056. CHEN Jian,YANG Zhi-fa,LI Xiao.Relationship between landslide probability and rainfall in Three Gorges Reservoir Area[J].Chinese Journal of Rock Mechanics and Engineering,2005(17):3052-3056.
[7] Maria L, Monica, Elena R,et al.A stochastic approach to slope stability analysis in bimrocks[J].International Journal of Rock Mechanics and Mining Sciences,2018(101):41-49.
[8] Budimir M E A, Atkinson P M, Lewis H G.A systematic review of landslide probability mapping using logistic regression[J].Landslides,2015,12(3):419-436.
[9] ���ô�,��־��.Logistic�ع�ģ�ͷ�����Ӧ��[M].����:�ߵȽ���������,2001:6-11. WANG Ji-chuan,GUO Zhi-gang.Methods and application of logistic regressionModel[M].Beijing:Higher Education Press,2001:6-11.
[10] Heckerman D.Probabilistic interpretations for MY-CIN's certainty factors[C]//Proceedings of the First Conference on Uncertainty in Artificial Intelligence(UAI1985).New York:Elsevier,1986:298-311.
[11] ���,����,������.����������ģ���ڱ����ȶ��Է����е�Ӧ��[J].���񳤽�,2007(6):80-82. XU Jun,LI Liang,DAI Chun-yang.Application of two kinds of neural network models in slope stability analysis[J].Yangtze River,2007(6):80-82.
[12] ������,����,��ѧ��,��.���¸����밲ȫϵ��Ӧ�ñȽϷ���[J].������ɽ,2016(3):163-167. RAO Yun-zhang,PENG Hua-dong,ZHANG Xue-yan,et al.Comparison of landslide probability and safety factor application[J].Metal Mine,2016(3):163-167.
[13] ����,������,������,��.����Rosenblueth�Ľ������������ȶ��ɿ���[J].���ִ�ѧѧ��(�����ѧ��),2011,41(1):195-200. MA Dong-he,WANG Chang-ming,YANG Shu-cai,et al.Two Rosenblueth improved method in reliability analysis of slope stability[J].Journalof Jilin University(Earth Science Edition),2011,41(1):195-200.
�������������

Copyright by �������