NDLI: Ill-conditioned problems of dam safety monitoring models and their processing methods

Content Provider	Springer Nature Link
Author	Gu, ChongShi Wang, YaChao Peng, Yan Xu, BaoSong
Copyright Year	2011
Abstract	The focus of this paper is the ill-conditioned problems in the dam safety monitoring model. The reasons to give rise to the ill-conditioned problems in statistical models, deterministic models and hybrid models are analyzed in detail, and the criterions for ill-conditioned models are investigated. It is shown that safety monitoring models are not easy to be ill-conditioned if the number of influence factors is less than seven. Moreover, the models have a high accuracy and can meet the engineering requirements. Another frequently encountered problem in establishing a safety monitoring model is the existence of inflection points, which are often present in the mathematical model for the hydraulic components in deterministic models and hybrid models. The conditions for inflection points are studied and their treatments are suggested. Numerical example indicates that the treatments proposed in this paper are effective in removing the ill-conditioned problems.
Starting Page	3275
Ending Page	3280
Page Count	6
File Format	PDF
ISSN	16747321
Journal	Science in China Series E: Technological Sciences
Volume Number	54
Issue Number	12
e-ISSN	1862281X
Language	English
Publisher	SP Science China Press
Publisher Date	2011-11-05
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	dam safety monitoring model ill-conditioned processing method Engineering
Content Type	Text
Resource Type	Article
Subject	Engineering Materials Science

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