Nonlinear Modelling of MGSPMs based on Hybrid Subdomain and Magnetic Equivalent Circuitry

2021 ◽  
pp. 1-1
Author(s):  
Babak Dianati ◽  
Ingo Hahn
Keyword(s):  
Author(s):  
Antonio Maria D’Altri ◽  
Francesco Cannizzaro ◽  
Massimo Petracca ◽  
Diego Alejandro Talledo

AbstractIn this paper, a simple and practitioners-friendly calibration strategy to consistently link target panel-scale mechanical properties (that can be found in national standards) to model material-scale mechanical properties is presented. Simple masonry panel geometries, with various boundary conditions, are utilized to test numerical models and calibrate their mechanical properties. The calibration is successfully conducted through five different numerical models (most of them available in commercial software packages) suitable for nonlinear modelling of masonry structures, using nonlinear static analyses. Firstly, the panel stiffness calibration is performed, focusing the attention to the shear stiffness. Secondly, the panel strength calibration is conducted for several axial load ratios by attempts using as reference the target panel strength deduced by well-known analytical strength criteria. The results in terms of panel strength for the five different models show that this calibration strategy appears effective in obtaining model properties coherent with Italian National Standard and Eurocode. Open issues remain for the calibration of the post-peak response of masonry panels, which still appears highly conventional in the standards.


2021 ◽  
Vol 209 ◽  
pp. 104491
Author(s):  
Henrik Skyvulstad ◽  
Tommaso Argentini ◽  
Alberto Zasso ◽  
Ole Øiseth

Author(s):  
Neophytos Chiras ◽  
Ceri Evans ◽  
David Rees

This paper examines the estimation of a global nonlinear gas turbine model using NARMAX techniques. Linear models estimated on small-signal data are first examined and the need for a global nonlinear model is established. A nonparametric analysis of the engine nonlinearity is then performed in the time and frequency domains. The information obtained from the linear modelling and nonlinear analysis is used to restrict the search space for nonlinear modelling. The nonlinear model is then validated using large-signal data and its superior performance illustrated by comparison with a linear model. This paper illustrates how periodic test signals, frequency domain analysis and identification techniques, and time-domain NARMAX modelling can be effectively combined to enhance the modelling of an aircraft gas turbine.


2008 ◽  
Author(s):  
I. Kourakis ◽  
U. M. Abdelsalam ◽  
W. M. Moslem ◽  
P. K. Shukla ◽  
José Tito Mendonça ◽  
...  

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