The inverse velocity (INV) method is widely used for predicting the slope failure time. When applying the INV method, the inverse velocity can be assumed to be a linear and non-linear function of time, respectively, which are called linear and non-linear INV methods in this paper, respectively. Very few guidance is available in the literatures on the use of the two types of INV methods. In this paper, the performances of the linear and non-linear INV methods are assessed using a landslide database with 55 case histories. It is found that, two types of pitfalls may be encountered when applying the non-linear INV method, i.e. the saddle point and the ill-conditioned Hessian matrix. For the landslides examined in this paper, the linear INV method is free from the two pitfalls. When these pitfalls are encountered, the failure time predicted based on the non-linear INV methods may be significantly different from the actual slope failure time. For the landslides examined in this paper, the linear INV method is not only more stable, but also more accurate than the non-linear INV method. It is suggested that the linear INV method should be preferred over the non-linear INV method in future applications.
机构:
Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
Univ Tokyo, Dept Civil Engn, Tokyo 1138656, JapanTsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
Chen, Yulong
Irfan, Muhammad
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Univ Engn & Technol Lahore, Dept Civil Engn, Lahore 54890, PakistanTsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
Irfan, Muhammad
Uchimura, Taro
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Univ Tokyo, Dept Civil Engn, Tokyo 1138656, JapanTsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
Uchimura, Taro
Zhang, Ke
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Kunming Univ Sci & Technol, Fac Elect Power Engn, Kunming 650500, Yunnan, Peoples R ChinaTsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
机构:
Survey & Design Inst Co Ltd, Hunan Prov Commun Planning, Changsha, Peoples R ChinaSurvey & Design Inst Co Ltd, Hunan Prov Commun Planning, Changsha, Peoples R China
Shao, Man
Liu, Fuming
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Hunan Water Planning & Design Inst Co Ltd, Changsha, Peoples R ChinaSurvey & Design Inst Co Ltd, Hunan Prov Commun Planning, Changsha, Peoples R China