Sökning: "multidisciplinary optimization"

Visar resultat 11 - 15 av 47 avhandlingar innehållade orden multidisciplinary optimization.

  1. 11. Multidisciplinary Design Optimization of Automotive Structures

    Författare :Rebecka Domeij Bäckryd; Larsgunnar Nilsson; Per-Olof Marklund; Linköpings universitet; []
    Nyckelord :Multidisciplinary design optimization MDO ; single-level optimization methods; multi-level optimization methods; metamodel-based design optimization MBDO ; automotive structures;

    Sammanfattning : Multidisciplinary design optimization (MDO) can be used as an effective tool to improve the design of automotive structures. Large-scale MDO problems typically involve several groups who must work concurrently and autonomously for reasons of efficiency. When performing MDO, a large number of designs need to be rated. LÄS MER

  2. 12. An Analysis of Consequences of Land Evaluation and Path Optimization

    Författare :Rachel Mundeli Murekatete; Takeshi Shirabe; Gerhard Navratil; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Least-cost paths; Most-suitable paths; Raster cost surfaces; Raster suitability surfaces; Shortest path problem; Minimax path problem; Scales of measurement; Minsta-kostnad rutter; Mest-lämpliga rutter; Raster kostnadsytor; Raster lämplighets ytor; kortaste vägen problem; Minimax väg problem; Mätskalor; Geodesy and Geoinformatics; Geodesi och geoinformatik;

    Sammanfattning : Planners who are involved in locational decision making often use raster-based geographic information systems (GIS) to quantify the value of land in terms of suitability or cost for a certain use. From a computational point of view, this process can be seen as a transformation of one or more sets of values associated with a grid of cells into another set of such values through a function reflecting one or more criteria. LÄS MER

  3. 13. Urban Growth Modeling Based on Land-use Changes and Road Network Expansion

    Författare :Yikang Rui; Yifang Ban; Henning Sten Hansen; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; urban growth sprawl; land-use simulation; multi-agent system; road network pattern; space syntax; complex networks; evolving weighted networks; nonlinear growth; local world; hierarchy; self-organized; local optimization; morphological changes; street centrality; adaptive kernel density estimation; dual representation;

    Sammanfattning : A city is considered as a complex system. It consists of numerous interactivesub-systems and is affected by diverse factors including governmental landpolicies, population growth, transportation infrastructure, and market behavior. LÄS MER

  4. 14. Multidisciplinary Design of Transonic Fans for Civil Aeroengines

    Författare :Oliver Sjögren; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Design of experiment; Turbofan performance; Stochastic sensitivity analysis; Jet propulsion; Performance optimization; Multidisciplinary design; Transonic fan stage design;

    Sammanfattning : For current state-of-the-art turbofan engines the bypass section of the fan stage alone provides the majority of the total thrust in cruise and the size of the fan has a considerable effect on overall engine weight and nacelle drag. Thrust requirements in different parts of the flight envelope must also be satisfied together with sufficient margins towards stall. LÄS MER

  5. 15. Enhancing Aircraft Conceptual Design using Multidisciplinary Optimization

    Författare :Daniel Raymer; KTH; []
    Nyckelord :aircraft design MDO optimization fighter UAV transport;

    Sammanfattning : Research into the improvement of the Aircraft ConceptualDesign process by the application of MultidisciplinaryOptimization (MDO) is presented. Aircraft conceptual designanalysis codes were incorporated into a variety of optimizationmethods including Orthogonal Steepest Descent (full-factorialstepping search), Monte Carlo, a mutation-based EvolutionaryAlgorithm, and three variants of the Genetic Algorithm withnumerous options. LÄS MER