Automatic Support for Traceability in a Generic Model Management Framework

2005 ◽  
pp. 316-330 ◽  
Author(s):  
Artur Boronat ◽  
José Á. Carsí ◽  
Isidro Ramos
Keyword(s):  
Model Management ◽  
Generic Model ◽  
Management Framework

scholarly journals Generic Model Management

2005 ◽  
pp. 258-265 ◽  
Author(s):  
Zinovy Diskin ◽  
Boris Kadish
Keyword(s):  
Present Article ◽  
Model Management ◽  
Generic Model ◽  
Metadata Management ◽  
Management Problems ◽  
Pros And Cons ◽  
And Mathematics ◽  
P 351

Generic model management (gMMt) is a novel view on classical and modern metadata management problems. The present article surveys the goals, components, pros and cons of gMMt, and major problems cited in the literature. It argues that some methodology developed in abstract mathematics can be extremely helpful for the field and is capable of providing it with a convenient notation, semantic foundations and truly generic specification patterns. The two other articles, titled Mathematics of Generic Specifications for Model Management, I (further referred to as Math-I , see p. 351), and Mathematics of Generic Specifications for Model Management, II (further referred to as Math-II, see p. 359), give some evidence to these claims by demonstrating how the machinery works in a series of examples.

A Variable Fidelity Model Management Framework for Multiscale Computational Design of Continuous Fiber SiC-Si3N4 Ceramic Composites

2007 ◽  
Author(s):  
Gilberto Meji´a Rodri´guez ◽  
John E. Renaud ◽  
Vikas Tomar
Keyword(s):  
Material Design ◽  
Ceramic Composites ◽  
Design Tool ◽  
Material Behavior ◽  
Model Management ◽  
High Fidelity ◽  
Management Framework ◽  
Design Cycle ◽  
Variable Fidelity ◽  
Fidelity Model

Research applications involving design tool development for multiple phase material design are at an early stage of development. The computational requirements of advanced numerical tools for simulating material behavior such as the finite element method (FEM) and the molecular dynamics method (MD) can prohibit direct integration of these tools in a design optimization procedure where multiple iterations are required. The complexity of multiphase material behavior at multiple scales restricts the development of a comprehensive meta-model that can be used to replace the multiscale analysis. One, therefore, requires a design approach that can incorporate multiple simulations (multi-physics) of varying fidelity such as FEM and MD in an iterative model management framework that can significantly reduce design cycle times. In this research a material design tool based on a variable fidelity model management framework is presented. In the variable fidelity material design tool, complex “high fidelity” FEM analyses are performed only to guide the analytic “low-fidelity” model toward the optimal material design. The tool is applied to obtain the optimal distribution of a second phase, consisting of silicon carbide (SiC) fibers, in a silicon-nitride (Si3N4) matrix to obtain continuous fiber SiC-Si3N4 ceramic composites (CFCCs) with optimal fracture toughness. Using the variable fidelity material design tool in application to one test problem, a reduction in design cycle time around 80 percent is achieved as compared to using a conventional design optimization approach that exclusively calls the high fidelity FEM.

A Variable Fidelity Model Management Framework for Designing Multiphase Materials

2008 ◽  
Vol 130 (9) ◽  
Author(s):  
Gilberto Mejía-Rodríguez ◽  
John E. Renaud ◽  
Vikas Tomar
Keyword(s):  
Material Design ◽  
Design Tool ◽  
Model Management ◽  
High Fidelity ◽  
Management Framework ◽  
Cycle Times ◽  
Design Cycle ◽  
Numerical Tools ◽  
Variable Fidelity ◽  
Fidelity Model

Research applications involving design tool development for multi phase material design are at an early stage of development. The computational requirements of advanced numerical tools for simulating material behavior such as the finite element method (FEM) and the molecular dynamics (MD) method can prohibit direct integration of these tools in a design optimization procedure where multiple iterations are required. One, therefore, requires a design approach that can incorporate multiple simulations (multiphysics) of varying fidelity such as FEM and MD in an iterative model management framework that can significantly reduce design cycle times. In this research a material design tool based on a variable fidelity model management framework is presented. In the variable fidelity material design tool, complex “high-fidelity” FEM analyses are performed only to guide the analytic “low-fidelity” model toward the optimal material design. The tool is applied to obtain the optimal distribution of a second phase, consisting of silicon carbide (SiC) fibers, in a silicon-nitride (Si3N4) matrix to obtain continuous fiber SiC–Si3N4 ceramic composites with optimal fracture toughness. Using the variable fidelity material design tool in application to two test problems, a reduction in design cycle times of between 40% and 80% is achieved as compared to using a conventional design optimization approach that exclusively calls the high-fidelity FEM. The optimal design obtained using the variable fidelity approach is the same as that obtained using the conventional procedure. The variable fidelity material design tool is extensible to multiscale multiphase material design by using MD based material performance analyses as the high-fidelity analyses in order to guide low-fidelity continuum level numerical tools such as the FEM or finite-difference method with significant savings in the computational time.

scholarly journals A Relative Adequacy Framework for Multi-Model Management in Design Optimization

2019 ◽  
Vol 142 (2) ◽  
Author(s):  
Ahmed H. Bayoumy ◽  
Michael Kokkolaras
Keyword(s):  
Design Optimization ◽  
Computational Models ◽  
Computational Cost ◽  
Trust Region ◽  
Model Management ◽  
Flexible Beam ◽  
Flow Conditions ◽  
Management Framework ◽  
Derivative Free Optimization ◽  
Derivative Free

Abstract We consider the problem of selecting among different physics-based computational models of varying, and oftentimes not assessed, fidelity for evaluating the objective and constraint functions in numerical design optimization. Typically, higher-fidelity models are associated with higher computational cost. Therefore, it is desirable to employ them only when necessary. We introduce a relative adequacy framework that aims at determining whether lower-fidelity models (that are typically associated with lower computational cost) can be used in certain areas of the design space as the latter is being explored during the optimization process. We implement our approach by means of a trust-region management framework that utilizes the mesh adaptive direct search derivative-free optimization algorithm. We demonstrate the link between feasibility and fidelity and the key features of the proposed approach using two design optimization examples: a cantilever flexible beam subject to high accelerations and an airfoil in transonic flow conditions.

Mathematics of Generic Specifications for Model Management, II

2005 ◽  
pp. 359-366 ◽  
Author(s):  
Zinovy Diskin
Keyword(s):  
Model Management ◽  
Generic Model ◽  
P 351

This article (further referred to as Math-II), and the previous one (further referred to as Math-I, see p. 351), form a mathematical companion to Generic Model Management (further referred to as GenMMt, see p. 258). While Math-I is dealing with homogeneous MMt, the goal of Math-II is to develop machinery for heterogenous MMt, where models are not assumed to be similar.

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