Search results for " Design optimization"

showing 8 items of 8 documents

Thermo-mechanical analysis of irradiation swelling and design optimization of the IFMIF target assembly with bayonet backplate

2017

Abstract The availability of a high flux neutron source for testing candidate materials under irradiation conditions, which will be typically encountered in future fusion power reactors (ITER, DEMO, FPR), is a fundamental step towards the development of fusion energy. To this purpose, the International Fusion Materials Irradiation Facility (IFMIF) represents the reference option to provide the fusion community with a DEMO-relevant neutron source capable of irradiating samples at a damage rate of up to 20 dpa/fpy (in steel) in a volume of 0.5 l. In the framework of the engineering design activities of IFMIF, ENEA is committed in the design of the lithium target assembly (TA) with removable (…

FusionMaterials scienceMechanical EngineeringReference designNuclear engineeringInternational Fusion Materials Irradiation FacilityIFMIF Target assembly Bayonet backplate Design optimization Swelling analysisFusion power01 natural sciences7. Clean energyFinite element method010305 fluids & plasmasPower (physics)Nuclear Energy and Engineering0103 physical sciencesNeutron sourceGeneral Materials Science010306 general physicsEngineering design processSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringFusion Engineering and Design
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Optimization under Uncertainty and Linear Semi-Infinite Programming: A Survey

2001

This paper deals with the relationship between semi-infinite linear programming and decision making under uncertainty in imprecise environments. Actually, we have reviewed several set-inclusive constrained models and some fuzzy programming problems in order to see if they can be solved by means of a linear semi-infinite program. Finally, we present some numerical examples obtained by using a primal semi-infinite programming method.

Mathematical optimizationLinear programmingComputer scienceProbabilistic-based design optimizationComputer Science::Programming LanguagesFuzzy numberRobust optimizationSensitivity analysisStochastic programmingSemi-infinite programmingMembership function
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Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms

1999

SUMMARY A multiobjective multidisciplinary design optimization (MDO) of two-dimensional airfoil is presented. In this paper, an approximation for the Pareto set of optimal solutions is obtained by using a genetic algorithm (GA). The first objective function is the drag coefficient. As a constraint it is required that the lift coefficient is above a given value. The CFD analysis solver is based on the finite volume discretization of the inviscid Euler equations. The second objective function is equivalent to the integral of the transverse magnetic radar cross section (RCS) over a given sector. The computational electromagnetics (CEM) wave field analysis requires the solution of a two-dimensi…

Mathematical optimizationElectromagneticsHelmholtz equationFictitious domain methodApplied MathematicsMechanical EngineeringMultidisciplinary design optimizationComputational MechanicsSolverComputer Science ApplicationsEuler equationssymbols.namesakeMechanics of MaterialssymbolsComputational electromagneticsShape optimizationMathematicsInternational Journal for Numerical Methods in Fluids
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Simultaneous and multi-criteria optimization of TS requirements and maintenance at NPPs

2002

Abstract One of the main concerns of the nuclear industry is to improve the availability of safety-related systems at nuclear power plants (NPPs) to achieve high safety levels. The development of efficient testing and maintenance has been traditionally one of the different ways to guarantee high levels of systems availability, which are implemented at NPP through technical specification and maintenance requirements (TS&M). On the other hand, there is a widely recognized interest in using the probabilistic risk analysis (PRA) for risk-informed applications aimed to emphasize both effective risk control and effective resource expenditures at NPPs. TS&M-related parameters in a plant are associ…

Mathematical optimizationMeta-optimizationOptimization problemNuclear Energy and EngineeringComputer scienceProbabilistic-based design optimizationMulti-swarm optimizationMulti-objective optimizationBilevel optimizationMetaheuristicEngineering optimizationAnnals of Nuclear Energy
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Innovative, Translucent and Multi-functional Components for the Building Envelope: technological and performance optimization

2017

The paper describes the actions aimed at the technology and performance optimization of an innovative, multi-functional building component made of precast and pre-stressed glass blocks useful for the construction of sustainable building envelopes able to reduce the energy consumption and to produce clean energy from the sun. The design optimization of different sub-components and the choice of the right materials for guaranteeing their good response in terms of mechanical resistance, thermal and acoustic insulation, light transmission, electricity production, integration with other components, dimensional coordination, are particularly described.

lcsh:Architectural engineering. Structural engineering of buildingsComplementary and alternative medicinelcsh:TH845-895Settore ICAR/10 - Architettura TecnicaPharmaceutical ScienceArchitectural Engineering Building Integrated Phovovoltaics (BIPV) Building Envelope Glass Block Design Optimization Dry Assembly System Multifunctional Building Components Third generation PV technologyPharmacology (medical)Tema
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Parallel Genetic Solution for Multiobjective MDO

1997

Publisher Summary This chapter reviews a multiobjective, multidisciplinary design optimization of two-dimensional airfoil designs. The control points on leading and trailing edges remain fixed, and the y-coordinates of the other control points are allowed to change during the optimization process. The grid for the Euler solver depends continuously and smoothly on the design parameters. The number of nodes and elements in the mesh might vary according to design because the meshes for the Helmholtz solver are done using the local fitting. The computations are made on an IBM SP2 parallel computer using high-performance switch and the MPICH message-passing library. As gradients are not required…

symbols.namesakeMathematical optimizationMPICHMultidisciplinary design optimizationHelmholtz free energyConvergence (routing)symbolsPolygon meshShape optimizationSolverGridMathematics
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An Adaptive Metamodel-Based Optimization Approach for Vehicle Suspension System Design

2014

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/965157 The performance index of a suspension system is a function of the maximum and minimum values over the parameter interval. Thus metamodel-based techniques can be used for designing suspension system hardpoints locations. In this study, an adaptive metamodel-based optimization approach is used to find the proper locations of the hardpoints, with the objectives considering the kinematic performance of the suspension. The adaptive optimization method helps to find the optimum locations of the hardpoints efficiently as it may be unachie…

Continuous optimizationMathematical optimizationEngineeringArticle SubjectAdaptive optimizationbusiness.industryGeneral MathematicsProbabilistic-based design optimizationlcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570General EngineeringInterval (mathematics)Kinematicslcsh:QA1-939Multi-objective optimizationEngineering (all)lcsh:TA1-2040Mathematics (all)Multi-swarm optimizationbusinessSuspension (vehicle)lcsh:Engineering (General). Civil engineering (General)Mathematics (all); Engineering (all)Mathematical Problems in Engineering
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A knowledge-based master-model approach with application to rotating machinery design

2011

Novel rotating machinery design concepts and architectures are being explored to reduce mass, energy consumption, manufacturing costs, and environmental impact while increasing performance. As component manufacturers supply parts to original equipment manufacturers, it is desirable to design the components using a systems approach so that they are optimized for system-level performance. To accomplish that, suppliers must be able to model and predict the behavior of the whole machinery. Traditional computer-aided design/computer-aided engineering master-modeling approaches enable manual changes to be propagated to linked models. Novel knowledge-based master-modeling approaches enable automa…

Engineeringbusiness.industryKnowledge-based engineeringrotating machinerymultidisciplinary analysis and design optimizationGeneral EngineeringAerospace Engineeringmaster-modelsEnergy consumptionManufacturing engineeringComputer Science ApplicationsRymd- och flygteknikModeling and SimulationSolid mechanicsEnvironmental impact assessmentbusinessknowledge-based engineering
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