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Dissertations / Theses on the topic 'Evolutionary structural optimisation'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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1

Proos, Kaarel. "Evolutionary structural optimisation as a robust and reliable design tool." Connect to full text, 2002. http://hdl.handle.net/2123/519.

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Thesis (Ph. D.)--University of Sydney, 2002.<br>Title from title screen (viewed Apr. 28, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Aeronautical, Mechatronic and Mechanical Engineering. Includes bibliographical references. Also available in print form.

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Proos, Kaarel Andres. "Evolutionary structural optimisation as a robust and reliable design tool." Thesis, The University of Sydney, 2002. http://hdl.handle.net/2123/519.

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Evolutionary Structural Optimisation (ESO) is a relatively new design tool used to improve and optimise the design of structures. It is a heuristic method where a few elements of an initial design domain of finite elements are iteratively removed. Such a process is carried out repeatedly until an optimum design is achieved, or until a desired given area or volume is reached. There have been many contributions to the ESO procedure since its conception back in 1992. For example, a provision known as Bi-Directional ESO (BESO) has now been incorporated where elements may not only be removed,

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3

Proos, Kaarel Andres. "Evolutionary structural optimisation as a robust and reliable design tool." University of Sydney. Aerospace, 2002. http://hdl.handle.net/2123/519.

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Evolutionary Structural Optimisation (ESO) is a relatively new design tool used to improve and optimise the design of structures. It is a heuristic method where a few elements of an initial design domain of finite elements are iteratively removed. Such a process is carried out repeatedly until an optimum design is achieved, or until a desired given area or volume is reached. There have been many contributions to the ESO procedure since its conception back in 1992. For example, a provision known as Bi-Directional ESO (BESO) has now been incorporated where elements may not only be removed,

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4

Wong, Kin Ming. "Evolutionary structural form optimisation for lateral stiffness design of tall buildings /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202007%20WONGK.

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5

Cervera, Eva. "Evolutionary structural optimisation based on boundary element representation of B-spline geometry." Thesis, Durham University, 2003. http://etheses.dur.ac.uk/2004/.

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Evolutionary Structural Optimisation (ESO) has become a well-established technique for determining the optimum shape and topology of a structure given a set of loads and constraints. The basic ESO concept that the optimum topology design evolves by slow removal and addition of material has matured over the last ten years. Nevertheless, the development of the method has almost exclusively considered finite elements (FE) as the approach for providing stress solutions. This thesis presents an ESO approach based on the boundary element method. Non-uniform rational B-splines (NURBS) are used to def

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Kelly, Liam. "Reducing design time : the impact of evolutionary structural optimisation on structural trade studies during preliminary design." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/380508/.

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Aircraft design is an inherently multi-disciplinary decision making process. In many design processes, the vehicle configuration is selected based on aerodynamic considerations in the concept design stage, before the structural layout is considered during preliminary design. Selection of the best vehicle configuration relies on an estimate of weight to determine the required lift of the aircraft. Structural topology optimisation is an efficient method for automatically generating a structural design layout that fits within a given design space and meets a given set of design criteria. By compa

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Brodie, Robert Neil. "Development of controllability and robustness methodologies for Bi-directional Evolutionary Structural Optimisation (BESO)." Thesis, University of Leeds, 2007. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486156.

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Agyei, Eugene Osei. "Groundwater modeling and management using the finite element method and evolutionary optimisation techniques /." Title page, synopsis and contents only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09pha284.pdf.

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9

Ebenhöh, Oliver. "Structural analysis of metabolic networks." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2003. http://dx.doi.org/10.18452/14853.

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In der vorliegenden Arbeit werden zwei Modelle zur strukturellen Analyse von Stoffwechselsystemen vorgestellt. Die Untersuchung basiert auf der Hypothese, dass heutzutage vorzufindende Stoffwechselsysteme als Ergebnis einer evolutionären Entwicklung, bestimmt durch Mutationsmechanismen und natürlicher Selektion, angesehen werden können. Es kann daher angenommen werden, dass kinetische Parameter sowie strukturelle Eigenschaften im Laufe der Evolution solche Werte angenommen haben, die eine gewisse Optimalität bezüglich ihrer biologischen Funktion darstellen. Das erste Modell untersucht das str

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10

Damp, Lloyd Hollis. "Multi-Objective and Multidisciplinary Design Optimisation of Unmanned Aerial Vehicle Systems using Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithms." Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/1858.

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The overall objective of this research was to realise the practical application of Hierarchical Asynchronous Parallel Evolutionary Algorithms for Multi-objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using high fidelity analysis tools. The research looked at the assumed aerodynamics and structures of two production UAV wings and attempted to optimise these wings in isolation to the rest of the vehicle. The project was sponsored by the Asian Office of the Air Force Office of Scientific Research under contract number AOARD-044078. The two vehicles wings which were optim

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Damp, Lloyd Hollis. "Multi-Objective and Multidisciplinary Design Optimisation of Unmanned Aerial Vehicle Systems using Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithms." University of Sydney, 2007. http://hdl.handle.net/2123/1858.

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Master of Engineering (Research)<br>The overall objective of this research was to realise the practical application of Hierarchical Asynchronous Parallel Evolutionary Algorithms for Multi-objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using high fidelity analysis tools. The research looked at the assumed aerodynamics and structures of two production UAV wings and attempted to optimise these wings in isolation to the rest of the vehicle. The project was sponsored by the Asian Office of the Air Force Office of Scientific Research under contract number AOARD-044078. The

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12

Tchvagha, Zeine Ahmed. "Contribution à l’optimisation multi-objectifs sous contraintes : applications à la mécanique des structures." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR13/document.

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L’objectif de cette thèse est le développement de méthodes d’optimisation multi-objectif pour la résolution de problèmes de conception des structures mécaniques. En effet, la plupart des problèmes réels dans le domaine de la mécanique des structures ont plusieurs objectifs qui sont souvent antagonistes. Il s’agit, par exemple, de concevoir des structures en optimisant leurs poids, leurs tailles, et leurs coûts de production. Le but des méthodes d’optimisation multi-objectif est la recherche des solutions de compromis entre les objectifs étant donné l’impossibilité de satisfaire tout simultaném

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Gao, Huanhuan. "Categorical structural optimization : methods and applications." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2471/document.

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La thèse se concentre sur une recherche méthodologique sur l'optimisation structurelle catégorielle au moyen d'un apprentissage multiple. Dans cette thèse, les variables catégorielles non ordinales sont traitées comme des variables discrètes multidimensionnelles. Afin de réduire la dimensionnalité, les nombreuses techniques d'apprentissage sont introduites pour trouver la dimensionnalité intrinsèque et mapper l'espace de conception d'origine sur un espace d'ordre réduit. Les mécanismes des techniques d'apprentissage à la fois linéaires et non linéaires sont d'abord étudiés. Ensuite, des exempl

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Filomeno, Coelho Rajan. "Multicriteria optimization with expert rules for mechanical design." Doctoral thesis, Universite Libre de Bruxelles, 2004. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211184.

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Though lots of numerical methods have been proposed in the literature to optimize me-chanical structures at the final stage of the design process, few designers use these tools since the first stage. However, a minor modification at the first step can bring significant change to the global performances of the structure. Usually, during the initial stage, models are based on theoretical and empirical equations, which are often characterized by mixed variables: continuous (e.g. geometrical dimensions), discrete (e.g. the cross section of a beam available in a catalogue) and/or integer (e.g. the

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15

Gladwin, Daniel Thomas. "Automated Control Structure Design and optimisation using Evolutionary Computing." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522000.

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16

Katzen, Jeffrey Marc. "Optimisation of a tree structured centralized data network using an evolutionary algorithm." Master's thesis, University of Cape Town, 1997. http://hdl.handle.net/11427/21169.

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This thesis attempts to solve the problem of optimising the design of tree structured centralized data network using an Evolutionary Algorithm. A centralized data network is also known as a client-server network. In this type of network, the client, which is usually a terminal connected to the network, would send a request for information to the server. The server would then download the reply back to the client. An example of such a network would be a bank's ATM network. Each ATM machine would be a client and the central server would store information relating to all the bank's customers. The

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17

Oaken, David R. "Optimisation of definition structures & parameter values in process algebra models using evolutionary computation." Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/21206.

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Process Algebras are a Formal Modelling methodology which are an effective tool for defining models of complex systems, particularly those involving multiple interacting processes. However, describing such a model using Process Algebras requires expertise from both the modeller and the domain expert. Finding the correct model to describe a system can be difficult. Further more, even with the correct model, parameter tuning to allow model outputs to match experimental data can also be both difficult and time consuming. Evolutionary Algorithms provide effective methods for finding solutions to o

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18

Lasseigne, Alexis. "Optimization of variable-thickness composite structures. Application to a CROR blade." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEM006/document.

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Cette thèse aborde la problématique de la conception optimale de structures composites stratifiées d’épaisseur variable. Les variables d’empilement définissent un problème d’optimisation combinatoire et des espaces de décisions de grande taille et potentiellement multimodaux. Les algorithmes d’optimisation stochastiques permettent de traiter ce type de problème et de tirer profit des performances et de l’anisotropie des plis composites pour l’allègement des structures composites stratifiées. Le but de cette étude est double : (i) développer un algorithme d’optimisation dédié aux composites str

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19

Frechard, Jonathan. "Systèmes d'entraînement de bandes flexibles : optimisation multicritère des performances dynamiques par approche évolutionnaire." Thesis, Strasbourg, 2013. http://www.theses.fr/2013STRAD015/document.

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La conception des systèmes d'entrainement de bande est étudiée depuis de nombreuses années. Ces systèmes sont très répandus dans l'industrie puisque le conditionnement sous forme de bobines simplifie le traitement de nombreux matériaux tels que le papier, le carton, les polymères, ... Ces systèmes regroupent un grand nombre de difficultés : ils sont de grande dimension, un fort couplage existe entre les grandeurs et de nombreux paramètres varient au cours du temps. La méthode d’optimisation classique consiste à considérer chaque partie du système sans tenir compte des autres. De plus, au sein

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20

Mereuta, Alina. "Smart web accessibility platform : dichromacy compensation and web page structure improvement." Thesis, Tours, 2014. http://www.theses.fr/2014TOUR4032/document.

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Dans ces travaux, nous nous concentrons sur l’amélioration de l’accessibilité web pourdes utilisateurs handicapés visuels à travers d’outils s’intègrant dans la plateforme SmartWeb Accessibility Platform (SWAP). Après une synthèse sur l’accessibilité, un panoramade SWAP est présenté. Notre première contribution concerne la compensation de la pertede contraste textuel dans les pages web pour les daltoniens tout en maintenant les intentionsde l’auteur retranscrites par les couleurs. Ce problème est modélisé sous la forme d’unproblème de minimisation d’une fonction numérique dépendante des couleu

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21

Mouelhi-Chibani, Wiem. "Apprentissage autonome de réseaux de neurones pour le pilotage en temps réel des systèmes de production basé sur l'optimisation via simulation." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2009. http://tel.archives-ouvertes.fr/tel-00725259.

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Le pilotage en temps réel des systèmes de production nécessite de prendre des décisions complexes sur l'affectation des ressources ou le choix des tâches à réaliser. Compte tenu de l'importance de la pertinence des décisions pour la performance d'un atelier, le pilotage fait l'objet de travaux de recherche dont l'objectif est d'aider les preneurs de décision. En particulier, on ne sait pas évaluer les conséquences sur la performance d'une décision en temps réel car les bonnes performances résultent d'une séquence de décisions et non d'une seule. De ce fait, il est difficile d'établir quelle es

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22

Manickarajah, Dhayanthi. "Optimum design of structures with stability constraints using the evolutionary optimisation method." Thesis, 1998. https://vuir.vu.edu.au/15258/.

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In the past most of the works on structural optimisation have been based on either mathematical programming or optimality criteria methods and have mainly concentrated on static responses of structures. These optimisation methods are mathematically complex and have limited applications. A novel approach to structural optimisation is being developed for practical applications based on the concept of slowly removing the inefficient material or gradually shifting the material from the strongest part of the structure to the weakest part until the structure evolves towards the desired optimum. Fro

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23

Yang, Xiaoying. "Evolutionary methods for topology optimisation of continuum structures: static and dynamic problems." Thesis, 2002. https://vuir.vu.edu.au/15736/.

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This thesis studies the topology optimisation of continuum structures. Two methods have been investigated, namely. Evolutionary Structural Optimisation (ESO) and Bidirectional ESO (BESO). The basic concept of ESO is that by systematically removing inefficient materials from the structure, the residual shape evolves toward an optimum. BESO is an extension of ESO by allowing for adding efficient materials.

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24

Yang, Xiaoying. "Bi-directional evolutionary method for stiffness and displacement optimisation." Thesis, 1999. https://vuir.vu.edu.au/18230/.

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This thesis presents a method for structural optimisation called bi-directional evolutionary structural optimisation (BESO). It is an extension of the systematic research on the evolutionary method. The basic concept of evolutionary structural optimisation (ESO) is that by slowly removing the inefficient material, the structure evolves towards an optimum. BESO extends the concept by allowing for the efficient material to be added while the inefficient material is removed. The formulation of BESO is motivated to improve the reliability and efficiency of the ESO method. The BESO method fo

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