Sensivitity Analysis Method for Membrane Wrinkling Based on Projection Operator

2006 ◽  
Author(s):  
Takeshi Akita ◽  
M.C. Natori
Keyword(s):  
Projection Operator ◽  
Analysis Method ◽  
Membrane Wrinkling

Adjoint Design Sensitivity Analysis of Fracture Mechanics Using Molecular-Continuum Multiscale Approach

2011 ◽  
Author(s):  
Hyun-Seok Kim ◽  
Hong-Lae Jang ◽  
Min-Geun Kim ◽  
Seonho Cho
Keyword(s):  
Sensitivity Analysis ◽  
Projection Operator ◽  
Design Sensitivity ◽  
Design Sensitivity Analysis ◽  
Generalized Langevin Equation ◽  
Multiscale Approach ◽  
Scale Analysis ◽  
Analysis Method ◽  
Sensitivity Analysis Method ◽  
Bridging Scale Method

We have developed a multiscale design sensitivity analysis method for transient dynamics using a bridging scale method by a projection operator for scale decomposition. Employing a mass-weighted projection operator, we can fully decouple the equations of motion into fine and coarse scales using the orthogonal property of complimentary projector to the mass matrix. Thus, independent solvers in response analyses can be utilized for the fine scale analysis of molecular dynamic (MD) and the coarse scale analysis of finite element analysis. To reduce the size of problems and to improve the computational efficiency, a generalized Langevin equation is used for a localized MD analysis. Through demonstrative numerical examples, it turns out that the derived sensitivity analysis method is accurate and efficient compared with finite difference sensitivity.

scholarly journals Kernel-phase analysis: Aperture modeling prescriptions that minimize calibration errors

2020 ◽  
Vol 636 ◽  
pp. A72
Author(s):  
Frantz Martinache ◽  
Alban Ceau ◽  
Romain Laugier ◽  
Jens Kammerer ◽  
Mamadou N’Diaye ◽  
...  
Keyword(s):  
Data Analysis ◽  
Projection Operator ◽  
Detection Limits ◽  
Systematic Errors ◽  
Transmission Model ◽  
Data Sets ◽  
High Contrast ◽  
Analysis Method ◽  
Contrast Detection ◽  
The Impact

Context. Kernel phase is a data analysis method based on a generalization of the notion of closure phase, which was invented in the context of interferometry, but it applies to well corrected diffraction dominated images produced by an arbitrary aperture. The linear model upon which it relies theoretically leads to the formation of observable quantities robust against residual aberrations. Aims. In practice, the detection limits that have been reported thus far seem to be dominated by systematic errors induced by calibration biases that were not sufficiently filtered out by the kernel projection operator. This paper focuses on the impact the initial modeling of the aperture has on these errors and introduces a strategy to mitigate them, using a more accurate aperture transmission model. Methods. The paper first uses idealized monochromatic simulations of a nontrivial aperture to illustrate the impact modeling choices have on calibration errors. It then applies the outlined prescription to two distinct data sets of images whose analysis has previously been published. Results. The use of a transmission model to describe the aperture results is a significant improvement over the previous type of analysis. The thus reprocessed data sets generally lead to more accurate results, which are less affected by systematic errors. Conclusions. As kernel-phase observing programs are becoming more ambitious, accuracy in the aperture description is becoming paramount to avoid situations where contrast detection limits are dominated by systematic errors. The prescriptions outlined in this paper will benefit from any attempt at exploiting kernel phase for high-contrast detection.

Impact of analysis method on anthocyanin content of elderberry products

Planta Medica ◽  
2007 ◽  
Vol 73 (09) ◽  
Author(s):  
C Chrubasik ◽  
T Maier ◽  
M Luond ◽  
A Schieber
Keyword(s):  
Anthocyanin Content ◽  
Analysis Method

An Analysis Method of Rollover Stability for Heavy Trucks

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Hao Zhang ◽  
Yue Li ◽  
Cheng-Qiang Zong ◽  
Chuan-Jin Ou ◽  
Bing-Tao Li
Keyword(s):  
Analysis Method ◽  
Heavy Trucks ◽  
Rollover Stability

Pengaruh Faktor Demografi Dan Iklim Organisasi Terhadap Niat Whistleblowing Internal

2017 ◽  
Vol 4 (1) ◽  
pp. 12-22
Author(s):  
Priyastiwi Priyastiwi
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Organizational Climate ◽  
Demographic Factors ◽  
Financial Statement ◽  
Research Use ◽  
Analysis Method ◽  
Financial Statement Fraud ◽  
Internal Whistleblowing ◽  
Collection Methods

This study aimed to examine the effect of demographic factors and organizational climate on the intention of internal whistleblowing. The sample was an accountant who had worked as an auditor. Data collection methods using questionnaires with financial statement fraud case scenarios. This research use ANOVA data analysis method to examine demographic factors include age, gender, and experience, as well as organizational climate on the intention of internal whistleblowing. The results showed only the experience of demographic factors that influence internal whistleblowing. Besides internal whistlelowing also influenced by organizational climate in the company.Keyword: Demographics, Organizational Climate, Whistleblowing

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