Investigation of Structural Modelling Methods for Aeroelastic Calculations

2004 ◽  
Author(s):  
Neil Taylor ◽  
Christian Allen ◽  
Dorian Jones ◽  
Ann Gaitonde ◽  
Graham Hill
Keyword(s):  
Structural Modelling ◽  
Modelling Methods

STRUCTURAL MODELLING OF REVERSIBLE PHOTODARKENING IN a-AsxSe

1981 ◽  
Vol 42 (C4) ◽  
pp. C4-391-C4-394 ◽  
Author(s):  
R. Grigorovici ◽  
A. Vancu
Keyword(s):  
Structural Modelling

scholarly journals Time-to-event analysis in economic evaluations: a comparison of modelling methods to assess the cost-effectiveness of transplanting a marginal quality kidney

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sameera Senanayake ◽  
Nicholas Graves ◽  
Helen Healy ◽  
Keshwar Baboolal ◽  
Adrian Barnett ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Time Horizon ◽  
Transition Probabilities ◽  
Discrete Event ◽  
Economic Evaluations ◽  
Event Analysis ◽  
Time To Event ◽  
Modelling Method ◽  
Cycle Lengths ◽  
Modelling Methods

Abstract Background Economic-evaluations using decision analytic models such as Markov-models (MM), and discrete-event-simulations (DES) are high value adds in allocating resources. The choice of modelling method is critical because an inappropriate model yields results that could lead to flawed decision making. The aim of this study was to compare cost-effectiveness when MM and DES were used to model results of transplanting a lower-quality kidney versus remaining waitlisted for a kidney. Methods Cost-effectiveness was assessed using MM and DES. We used parametric survival models to estimate the time-dependent transition probabilities of MM and distribution of time-to-event in DES. MMs were simulated in 12 and 6 monthly cycles, out to five and 20-year time horizon. Results DES model output had a close fit to the actual data. Irrespective of the modelling method, the cycle length of MM or the time horizon, transplanting a low-quality kidney as compared to remaining waitlisted was the dominant strategy. However, there were discrepancies in costs, effectiveness and net monetary benefit (NMB) among different modelling methods. The incremental NMB of the MM in the 6-months cycle lengths was a closer fit to the incremental NMB of the DES. The gap in the fit of the two cycle lengths to DES output reduced as the time horizon increased. Conclusion Different modelling methods were unlikely to influence the decision to accept a lower quality kidney transplant or remain waitlisted on dialysis. Both models produced similar results when time-dependant transition probabilities are used, most notable with shorter cycle lengths and longer time-horizons.

scholarly journals Recent Developments in the Modelling of Transformer Windings

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2798
Author(s):  
Konstanty M. Gawrylczyk ◽  
Szymon Banaszak
Keyword(s):  
Literature Review ◽  
Research And Development ◽  
Frequency Response ◽  
Input Data ◽  
Recent Developments ◽  
Modelling Techniques ◽  
Lumped Parameters ◽  
Wave Phenomena ◽  
Modelling Methods ◽  
Direct Calculations

The paper provides a review of the modelling techniques used to simulate the frequency response of transformer windings. The aim of the research and development of modelling methods was to analyze the influence of deformations and faults in the windings on the changes in the frequency response. All described methods are given with examples of the modelling results performed by the authors of this paper and from literature sources. The research is prefaced with a thorough literature review. There are described models based on lumped parameters with input data coming from direct calculations based on the winding geometry and obtained from FEM modelling software and models considering the wave phenomena in the windings. The analysis was also performed for practical problems in winding modelling: the influence of windings other than the modelled one and the influence of parallel wires in a winding.

scholarly journals Consumer Ethicality Perception and Legitimacy: Competitive Advantages in COVID-19 Crisis

2021 ◽  
pp. 000276422110165
Author(s):  
Gregory Payne ◽  
Alicia Blanco-González ◽  
Giorgia Miotto ◽  
Cristina del-Castillo
Keyword(s):  
New York ◽  
Data Collection ◽  
Purchase Intention ◽  
Brand Management ◽  
Mediation Effect ◽  
Competitive Advantages ◽  
Structural Modelling ◽  
Multigroup Analysis ◽  
Ethical Behaviors ◽  
Brand Meaning

The article aims to analyze the cause–effect relationship between Brand Ethicality Perception (CPE), legitimacy and purchase intention during the COVID-19 first wave, taking into consideration the mediation effect of the country of residence. Data collection was based on a survey launched during the COVID-19 lockdown in Madrid and New York. To analyze the established hypotheses and to test the multigroup analysis, we applied a structural modelling with SmartPLS. The research contributes to the field of brand management, and specifically of ethical branding, since it will analyze how stakeholders’ expectations fulfillment is key to build a consistent and valued brand meaning in crisis’ situations, demonstrating that ethical behaviors are key for gaining corporate legitimacy and, therefore, for improving business performances.

Sign in / Sign up

Export Citation Format

Share Document