A form finding issue in parametric modeling

Author(s):  
Marcin Luczkowski ◽  
John Haddal Mork ◽  
Anders Rønnquist ◽  
Bendik Manum
Author(s):  
Ting Li ◽  
Bingqing Liu ◽  
Zhongyong Meng ◽  
Shen Zhang

Suspend-dome includes a single-layer latticed shell and the bottom tensegrity system. The overall stress state is closely related to the construction tension process. In order to provide guidance for safe construction of suspend-dome and trouble-free operation, an iterative method to determine initial strains of the bottom tensegrity system under zero state was proposed, and software for global-process tension analysis was developed based on ANSYS. A transform interface module was developed for rapid ANSYS parametric modeling. The optimization was conducted to achieve optimal prestress. A computational module was developed for the form-finding, force-finding, and construction tension analysis. The construction process of a suspend-dome with a span of 106 m was simulated by using the construction simulation method. It was shown that the iterative tension analysis method provided accurate and reliable simulations, which could be further used to determine the prestress and form of suspend-dome. The presuppositions and obtained computation sequences of the construction simulation method agree well with the practical construction process. This construction simulation method can be utilized for construction simulation.


Author(s):  
Na Tian ◽  
Huanyong Cui ◽  
Xiuhua Men ◽  
Ruichuan Li ◽  
Wenhui Yang ◽  
...  
Keyword(s):  

2004 ◽  
Vol 14 (06) ◽  
pp. 1975-1985
Author(s):  
RASTKO ŽIVANOVIĆ

The task of locating an arcing-fault on overhead line using sampled measurements obtained at a single line terminal could be classified as a practical nonlinear system identification problem. The practical reasons impose the requirement that the solution should be with maximum possible precision. Dynamic behavior of an arc in open air is influenced by the environmental conditions that are changing randomly, and therefore the useful practically application of parametric modeling is out of question. The requirement to identify only one parameter is yet another specific of this problem. The parameter we need is the one that linearly correlates the voltage samples with the current derivative samples (inductance). The correlation between the voltage samples and the current samples depends on the unpredictable arc dynamic behavior. Therefore this correlation is reconstructed using nonparametric regression. A partially linear model combines both, parametric and nonparametric parts in one model. The fit of this model is noniterative, and provides an efficient way to identify (pull out) a single linear correlation from the nonlinear time series.


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