Geometric Moment-Dependent Sensitivity Analysis for Shape Optimisation Without Simulation Data: Application to Ship Design

2021 ◽  
Author(s):  
Shahroz Khan ◽  
Panagiotis Kaklis ◽  
Andrea Serani ◽  
Matteo Diez
Keyword(s):  
Sensitivity Analysis ◽  
Ship Design ◽  
Shape Optimisation ◽  
Simulation Data ◽  
Geometric Moment ◽  
Data Application

scholarly journals Two-scale shape optimisation based on numerical homogenisation techniques and variational sensitivity analysis

2021 ◽  
Author(s):  
Wojciech Kijanski ◽  
Franz-Joseph Barthold
Keyword(s):  
Sensitivity Analysis ◽  
Shape Optimisation ◽  
Shape Sensitivity ◽  
Shape Sensitivity Analysis ◽  
Composite Matrix ◽  
Computational Framework ◽  
Static Loads ◽  
Nonlinear Elastic Structures ◽  
Nonlinear Elastic ◽  
Intrinsic Frame

AbstractThis contribution presents a theoretical and computational framework for two-scale shape optimisation of nonlinear elastic structures. Particularly, minimum compliance optimisation problems with composite (matrix-inclusion) microstructures subjected to static loads and volume-type design constraints are focused. A homogenisation-based FE$$^2$$ 2 scheme is extended by an enhanced formulation of variational (shape) sensitivity analysis based on Noll’s intrinsic, frame-free formulation of continuum mechanics. The obtained overall two-scale sensitivity information couples shape variations across micro- and macroscopic scales. A numerical example demonstrates the capabilities of the proposed variational sensitivity analysis and the (shape) optimisation framework. The investigations involve a mesh morphing scheme for the design parametrisation at both macro- and microscopic scales.

scholarly journals A Validation/Uncertainty Quantification Analysis for a 1.5 MW Oxy-Coal Fired Furnace: Sensitivity Analysis

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Oscar H. Díaz-Ibarra ◽  
Jennifer Spinti ◽  
Andrew Fry ◽  
Benjamin Isaac ◽  
Jeremy N. Thornock ◽  
...  
Keyword(s):  
Heat Flux ◽  
Sensitivity Analysis ◽  
Uncertainty Quantification ◽  
Complex Geometry ◽  
Heat Removal ◽  
Operating Conditions ◽  
Model Parameters ◽  
Reacting Flow ◽  
Simulation Data ◽  
The Impact

A validation/uncertainty quantification (VUQ) study was performed on the 1.5 MWth L1500 furnace, an oxy-coal fired facility located at the Industrial Combustion and Gasification Research Facility at the University of Utah. A six-step VUQ framework is used for studying the impact of model parameter uncertainty on heat flux, the quantity of interest (QOI) for the project. This paper focuses on the first two steps of the framework. The first step is the selection of model outputs in the experimental and simulation data that are related to the heat flux: incident heat flux, heat removal by cooling tubes, and wall temperatures. We describe the experimental facility, the operating conditions, and the data collection process. To obtain the simulation data, we utilized two tools, star-ccm+ and Arches. The star-ccm+ simulations captured flow through the complex geometry of the swirl burner while the Arches simulations captured multiphase reacting flow in the L1500. We employed a filtered handoff plane to couple the two simulations. In step two, we developed an input/uncertainty (I/U) map and assigned a priority to 11 model parameters based on prior knowledge. We included parameters from both a char oxidation model and an ash deposition model in this study. We reduced the active parameter space from 11 to 5 based on priority. To further reduce the number of parameters that must be considered in the remaining steps of the framework, we performed a sensitivity analysis on the five parameters and used the results to reduce the parameter set to two.

Short-Form Application of the Screening Test of Spanish Grammar and the Northwestern Syntax Screening Test to Latino Children

1978 ◽  
Vol 9 (4) ◽  
pp. 220-235
Author(s):  
David L. Ratusnik ◽  
Carol Melnick Ratusnik ◽  
Karen Sattinger
Keyword(s):  
New York ◽  
Case Studies ◽  
Metropolitan Area ◽  
Screening Test ◽  
Normative Data ◽  
Short Form ◽  
Latino Children ◽  
Data Application ◽  
York Metropolitan Area ◽  
Multiple Regression Technique

Short-form versions of the Screening Test of Spanish Grammar (Toronto, 1973) and the Northwestern Syntax Screening Test (Lee, 1971) were devised for use with bilingual Latino children while preserving the original normative data. Application of a multiple regression technique to data collected on 60 lower social status Latino children (four years and six months to seven years and one month) from Spanish Harlem and Yonkers, New York, yielded a small but powerful set of predictor items from the Spanish and English tests. Clinicians may make rapid and accurate predictions of STSG or NSST total screening scores from administration of substantially shortened versions of the instruments. Case studies of Latino children from Chicago and Miami serve to cross-validate the procedure outside the New York metropolitan area.

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