The study contrasts the architecture of the Art Nouveau period  1880-1915 with contemporary curvilinear computational designs created 1980-2015. This is done by examining similarities and differences in design context, methods, philosophy and forms. The study includes an analysis of the curved lines used in Art Nouveau architecture as well as comparative study of  the two periods’ building compositions, façades and ornamentation. The thesis tries to answer the following questions: Is it possible to identify significant forms or geometric markers in  the Art Nouveau architecture of the period 1890 to 1920? How do such markers differ from post 1980 computational curvilinear architecture? Is it possible to reinterpret Art Nouveau architecture today in a relevant way? / Denna studien kontrasterar Art Nouveau/ Jugendstil perioden 1880-1920 med dagens datorstödda design diskurs med fokus på den böjda linjen. Studien undersöker skillnader och likheter i kontext, metod, filosofi och form mellan de båda perioderna. Studien inkluderar en analys av den kurvatur som används inom Art Nouveau / Jugendstil och undersöker vidare byggnadskomposition,  fasader och ornament i de båda tidsperioderna. Studien försöker besvara följande frågor: Fins det några signifikanta former eller geometrier i  Art Nouveau / Jugendstil arkitekturen och hur skiljer dessa sig från dagens datorstödda arkitektur, Går det att på ett relevant sätt använda delar av  Art Nouveau / Jugendstil arkitekturen och dess diskurrs på ett idag relevant sätt.

[pt] As novas tecnologias trazem novos paradigmas para o design de adornos pessoais. Apesar da sua adoção, essas tecnologias são comumente empregadas para executar as mesmas formas de adornos produzidas em banca de ourives, portanto a inovação pode ficar limitada aos processos de fabricação. A tendência à virtualização do mundo físico também impõe novos desafios ao design de adornos. Esta pesquisa tem como objetivo trazer reflexões para o design de adornos sobre como as novas tecnologias podem contribuir para dar sentidos inovadores aos produtos. Para isso, apresenta e discute características específicas do design de adornos, assim mostrando o paradigma do emprego dessas tecnologias. Posto isso, delimita o escopo das novas tecnologias pertinentes à pesquisa, expondo seus efeitos e impactos no design de adornos. Com base em uma pesquisa documental, mostra o potencial expressivo dessas tecnologias através da seleção de casos. A seguir, através de uma revisão bibliográfica, analisa a mediação que o design pode fazer entre adornos pessoais e novas tecnologias. Em conjunto à contextualização, foram realizadas atividades de experimentação em realidade virtual, digitalização tridimensional e design computacional, que buscaram explorar o potencial dessas tecnologias de forma inovadora através do design. Os experimentos desenvolvidos demonstraram aspectos específicos das novas tecnologias abordadas e, em conjunto, esses procedimentos expuseram a relação entre elas e o processo de inovação de significados no design de adornos. / [en] New technologies bring new paradigms for jewelry design. Despite their adoption, these technologies are commonly used to create the same styles of jewelry produced by hand by goldsmiths, so innovation may be limited to manufacturing processes. The shift towards virtualization of the physical world also poses new challenges to jewelry design. This research aims to reflect on how new technologies in jewelry design can give innovative meanings to products. For this, it presents and discusses specific characteristics of jewelry design, thus showing the paradigm of the use of these technologies. That said, it delimits the scope of new technologies relevant to this research, exposing their effects and impacts on jewelry design. Based on documentary research, a selection of cases is made to show the expressive potential of these technologies. Then, through a literature review, it analyzes the mediation that design can make between jewelry and new technologies. Along with the contextualization, experimentation activities in virtual reality, 3D scanning and computational design were carried out, seeking to explore the potential of these technologies through design in an innovative way. The experiments demonstrated specific aspects of the new technologies addressed in this research and also exposed the relationship between them and the process of innovation of meanings in jewelry design.

No description available.

[pt] O Design Computacional Generativo é uma forma de Design que consegue gerar uma quantidade virtualmente infinita de possíveis soluções e filtrá-las através de análises computacionais. Cada análise, experimenta e gradua uma demanda, que pode ser relacionada a diversos entes e como estes afetam e são afetados por um design. Dessa maneira, essas análises podem ser entendidas como uma forma de incluir de maneira integrada diversos fatores na síntese da forma do Design. Mesmo com todo esse potencial, as abordagens baseadas no Design Computacional Generativo ainda enfrentam dificuldades na análise e na inclusão de algumas demandas, principalmente naquelas de natureza subjetiva. Isso vem mudando devido a recente introdução de técnicas de Aprendizado Profundo no Design. Essas ferramentas conseguem captar conhecimentos implícitos através da sua aptidão para encontrar padrões em grandes quantidades de dados e replicá-los. Assim, elas podem replicar a avaliação de um designer humano. Essa pesquisa foca especificamente nas análises de critérios processados pelas capacidades humanas não simbólicas. Essas capacidades são aquelas que os humanos partilham com os animais vertebrados e permitem a compreensão de significados e o acionamento de ações sem a necessidade de linguagem. Essas capacidades possuem ao mesmo tempo um caráter objetivo, porque possuem uma base biológica comum a todos os humanos; e subjetivo, porque são influenciadas pelo estado psíquico, pelas motivações e pela experiência de um sujeito. Nesse contexto, o problema identificado é que sem um embasamento teórico essas técnicas acabam se limitando a um exercício fantasioso e ingênuo de automação de Design. Portanto, esta pesquisa parte da hipótese de que um embasamento teórico de conhecimentos da Teoria Pós- humana, da neurociência Conexionista e das Teorias de Fundamentos do Design possibilita que estímulos humanos não simbólicos possam ser incluídos de maneira efetiva na síntese da forma de processos de Design Computacional Generativo através de técnicas de Aprendizado Profundo. O objetivo do trabalho é compreender como a inserção dessas novas técnicas associadas a uma fundamentação teórica específica, vão propiciar a inclusão de fatores não- simbólicas na síntese da forma em processos de Design Computacional Generativo. Para atingir esse objetivo, a pesquisa propõe a elaboração de um conjunto de diretrizes, de uma estrutura metodológica conceitual e de um experimento prático que verifique o funcionamento da avaliação através de máquinas de Aprendizado Profundo. Esses três itens partem do estado da arte da interseção entre o Design Computacional Generativo e as técnicas de Aprendizado Profundo e se baseiam nos conhecimentos Pós-humanos, da neurociência Conexionista e das teorias de Fundamentos do Design. A pesquisa entrelaça dois temas atuais e significativos para o Campo do Design. De um lado, ela busca conhecimentos que preparem os designers para as transformações que a incorporação das técnicas recentes de inteligência artificial vem causando; e de outro, ela se insere nos esforços para que o Design seja um instrumento de transformação da sociedade através de uma reaproximação com as capacidades não simbólicas. / [en] Generative Computational Design is a form of Design that manages to generate a virtually infinite amount of possible solutions and filter them through computational analysis. Each analysis experiences and grades a demand, which can be related to different entities and how they affect and are affected by a design. In this way, these analyzes can be understood as a way of including in an integrated way several factors in the synthesis of the form of Design. Even with all this potential, approaches based on Generative Computational Design still face difficulties in analyzing and including some demands, especially those of a subjective nature. This has been changing due to the recent introduction of Deep Learning techniques in Design. These tools are able to capture implicit knowledge through their ability to find patterns in large amounts of data and replicate them. Thus, they can replicate the assessment of a human designer. This research specifically focuses on the analysis of criteria processed by non-symbolic human capacities. These capabilities are those that humans share with vertebrate animals and allow them the understanding of meanings and the triggering of actions without the need for language. These capacities have at the same time an objective character, because they have a biological basis common to all humans; and subjective, because they are influenced by a subject s psychic state, motivations and experience. In this context, the problem identified is that without a theoretical basis these techniques end up being limited to a fanciful and naive exercise in Design automation and simplistic approaches to style transfer. Thus, this research starts from the hypothesis that a theoretical foundation of knowledge from the Post- Human Theory, from the connectionist neuroscience and from the Fundamental Theories of Design can enable non-symbolic human factors to be effectively included in the synthesis of the form of processes of Generative Computational Design through Deep Learning techniques. The objective of this work is to understand how the insertion of these new techniques associated with a specific theoretical foundation will enable the inclusion of non-symbolic factors in the synthesis of form in Generative Computational Design processes. To achieve this objective, the research proposes the elaboration of a conceptual methodological framework based on the state of the art of the intersection between Generative Computational Design and Deep Learning techniques associated with Post-human knowledge, connectionist neuroscience and Design Foundations theories; as well as the verification of the operation of the technique through the execution of a practical experimental procedure. The research intertwines two current and significant themes for the Field of Design. On the one hand, it seeks knowledge that prepares designers for the transformations that the incorporation of recent artificial intelligence techniques has caused; and on the other hand, it is part of efforts to make Design an instrument for transforming society through a rapprochement with non-symbolic capacities.

No description available.

Produktutvecklingen speglar samhällets teknologiska framfart och utveckling, med ständigt ökande krav på kortare ledtider, mer högteknologiska och avancerade produkter samt en högre grad av pålitlighet hos produkten. Det innebär att de processer och verktyg som styr och ligger till grund för den moderna produktutvecklingen konstant måste förnyas och förbättras för att kunna möta de ökande kraven från såväl konsumenter som företag. Det finns många olika digitala verktyg som används inom produktutveckling idag och det som tidigare endast varit ett valbart komplement är idag en nödvändighet för att kunna utveckla och tillverka de komplexa produkter och komponenter som efterfrågas. Generativ design är ett av dessa verktyg som innefattar en rad olika datorstödda verktyg som CAD, CAE, FEM och CFD. Syftet med studien är att undersöka möjligheter och utmaningar med generativ design samt hur det påverkar produktutvecklingsarbeten och ingenjörens roll i designprocessen. De aspekter som har tagits hänsyn till är projekttid, effektivitet och slutresultat. Studien har utförts genom en inledande litteraturstudie följt av fyra semistrukturerade intervjuer genomförda med två svenska företag med internationell anknytning. Studien visar att företagen går mot att implementera fler digitala verktyg och förändra sina produktutvecklingsprocesser med avseende på detta. Även då många möjligheter och fördelar förekommer vid implementering av avancerade program som kan bidra till framtagningen och utvecklingen av mer komplexa produkter så finns det utmaningar som måste tas hänsyn till. Kommunikationen mellan de olika grupperna inom utvecklingsprocessen och inte minst kompatibiliteten hos de program som används är avgörande. Slutligen visar studien på en indikation att ingenjörens roll kommer att genomgå en förändring de närmsta åren, i takt med att datorstödda verktyg blir mer avancerade och kan ta över stora delar av arbetsprocesserna. / Product development reflects society's technological progress and development, with ever-increasing demands for shorter lead times, more high-tech and advanced products and a higher degree of reliability of the product. This means that the processes and tools that are controlled and form the basis for modern product development must be constantly renewed and improved in order to meet the increased demands from both consumers and companies. There are many different digital tools used in product development and what was previously an optional complement is today a necessity for developing and manufacturing the complex products and components that are in demand. Generative design is one of these tools that includes a variety of computer-aided tools such as CAD, CAE, FEM and CFD. The purpose of this study is to investigate opportunities and challenges with generative design and how it affects product development and the role of the engineer in the design process. The aspects that have been considered are project time, project efficiency and end results. The study was conducted through an initial literature study followed by four semi-structured interviews conducted with two Swedish companies with international connections. The study shows that the companies are moving towards implementing more digital tools and changing their product development processes with regard to this. Even though there are many advantages and opportunities in implementing advanced programs that can contribute to the production and development of more complex products, there are challenges that must be considered. The communication between the different groups in the development process and not least the compatibility of the programs used is crucial. Finally, the study shows an indication that the role of the engineer will undergo a change in the next few years, as computer-aided tools become more advanced and can take over large parts of the work processes.

La conception assistée par ordinateur (CAO), les effets visuels, la robotique et de nombreux autres domaines tels que la biologie computationnelle, le génie aérospatial, etc. reposent sur la résolution de problèmes mathématiques. Dans la plupart des cas, des méthodes de calcul sont utilisées pour résoudre ces problèmes. Le choix et la construction de la méthode de calcul ont un impact important sur les résultats et l'efficacité du calcul. La structure du problème peut être utilisée pour créer des méthodes, qui sont plus rapides et produisent des résultats qualitativement meilleurs que les méthodes qui n'utilisent pas la structure. Cette thèse présente trois articles avec trois nouvelles méthodes de calcul s'attaquant à des problèmes de simulation et d'optimisation contraints par des équations aux dérivées partielles (EDP). Dans le premier article, nous abordons le problème de la dissipation d'énergie des solveurs fluides courants dans les effets visuels. Les solveurs de fluides sont omniprésents dans la création d'effets dans les courts et longs métrages d'animation. Nous présentons un schéma d'intégration temporelle pour la dynamique des fluides incompressibles qui préserve mieux l'énergie comparé aux nombreuses méthodes précédentes. La méthode présentée présente une faible surcharge et peut être intégrée à un large éventail de méthodes existantes. L'amélioration de la conservation de l'énergie permet la création d'animations nettement plus dynamiques. Nous abordons ensuite la conception computationelle dont le but est d'exploiter l'outils computationnel dans le but d'améliorer le processus de conception. Plus précisément, nous examinons l'analyse de sensibilité, qui calcule les sensibilités du résultat de la simulation par rapport aux paramètres de conception afin d'optimiser automatiquement la conception. Dans ce contexte, nous présentons une méthode efficace de calcul de la direction de recherche de Gauss-Newton, en tirant parti des solveurs linéaires directs épars modernes. Notre méthode réduit considérablement le coût de calcul du processus d'optimisation pour une certaine classe de problèmes de conception inverse. Enfin, nous examinons l'optimisation de la topologie à l'aide de techniques d'apprentissage automatique. Nous posons deux questions : Pouvons-nous faire de l'optimisation topologique sans maillage et pouvons-nous apprendre un espace de solutions d'optimisation topologique. Nous appliquons des représentations neuronales implicites et obtenons des résultats structurellement sensibles pour l'optimisation topologique sans maillage en guidant le réseau neuronal pendant le processus d'optimisation et en adaptant les méthodes d'optimisation topologique par éléments finis. Notre méthode produit une représentation continue du champ de densité. De plus, nous présentons des espaces de solution appris en utilisant la représentation neuronale implicite. / Computer-aided design (CAD), visual effects, robotics and many other fields such as computational biology, aerospace engineering etc. rely on the solution of mathematical problems. In most cases, computational methods are used to solve these problems. The choice and construction of the computational method has large impact on the results and the computational efficiency. The structure of the problem can be used to create methods, that are faster and produce qualitatively better results than methods that do not use the structure. This thesis presents three articles with three new computational methods tackling partial differential equation (PDE) constrained simulation and optimization problems. In the first article, we tackle the problem of energy dissipation of common fluid solvers in visual effects. Fluid solvers are ubiquitously used to create effects in animated shorts and feature films. We present a time integration scheme for incompressible fluid dynamics which preserves energy better than many previous methods. The presented method has low overhead and can be integrated into a wide range of existing methods. The improved energy conservation leads to noticeably more dynamic animations. We then move on to computational design whose goal is to harnesses computational techniques for the design process. Specifically, we look at sensitivity analysis, which computes the sensitivities of the simulation result with respect to the design parameters to automatically optimize the design. In this context, we present an efficient way to compute the Gauss-Newton search direction, leveraging modern sparse direct linear solvers. Our method reduces the computational cost of the optimization process greatly for a certain class of inverse design problems. Finally, we look at topology optimization using machine learning techniques. We ask two questions: Can we do mesh-free topology optimization and can we learn a space of topology optimization solutions. We apply implicit neural representations and obtain structurally sensible results for mesh-free topology optimization by guiding the neural network during optimization process and adapting methods from finite element based topology optimization. Our method produces a continuous representation of the density field. Additionally, we present learned solution spaces using the implicit neural representation.

I byggbranschen har nya metoder för projektering utvecklats genom införandet av moderna och mer kraftfulla BIM-verktyg. Flera av dagens konstruktioner modelleras enligt tredimensionella principer.Tekla Structures är ett kraftfullt BIM-verktyg som klarar av att hantera både huskonstruktioner och anläggningskonstruktioner. Trots detta kan programmet inte hantera broar med dubbelkrökning på ett effektivt sätt. Projektörer behöver därför utgå från flera program för att kunna hantera komplexa brokonstruktioner.För att kunna utnyttja fördelar med Tekla Structures, behöver programmet att utvecklas eller kompletteras med andra tredjepartsprogram. Detta projekt syftar till att integrera nya arbetssätt och införa en metodik, i form av parametriserade modellering i Tekla Structures. En sådan form av modellering tillåter användaren att modifiera parametrar för en önskad modell.Ett skript är skapad genom ett visuellt programmeringstillägg, som genererar parametriskbaserade bromodeller. Brokonstruktionstyp som modellerades i detta projekt är en plattrambro.Resultatet av projektet pekar mot att parametriserad modellering är ett effektivt sätt att modellera och en lösning för att bland annat hantera broar med dubbelkrökningar. / New methods for project designing in the building construction industry have been developed by introducing modern and powerful BIM tools. Several of today’s constructions are designed according to three-dimensional principles.Tekla Structures is a powerful BIM tool that is capable of managing both house and infrastructure constructions. Despite this, the program cannot handle bridges with a horizontal and vertical curvature efficiently. The designers must instead rely on several other applications to manage complex bridge constructions.In order to use the advantages of Tekla Structures, the software needs to be evolved or complimented by other third party softwares. This project aims to integrate new working technics and introduce a method based on parametric design in Tekla Structures. Such form of modeling enables the modification of parameters to a desired model for the user.A script is created through a visual programming extension that generates a parametric based bridge models. The bridge type in this project was designed, is an integral bridge.The project has proved that parametric based design is more effectively and a solution to manage bridges with horizontal and vertical curvature.

Les systèmes et matériaux mécaniques non linéaires sont largement utilisés dans divers domaines. Cependant, leur modélisation et leur conception ne sont pas triviales car elles nécessitent une compréhension complète de leurs non-linéarités internes et d'autres phénomènes. Pour permettre une conception efficace, nous devons d'abord introduire des modèles de calcul afin de caractériser avec précision leur comportement complexe. En outre, de nouvelles techniques de conception inverse sont également nécessaires pour comprendre comment le comportement change lorsque nous modifions les paramètres de conception des systèmes mécaniques non linéaires et des matériaux. Par conséquent, dans cette thèse, nous présentons trois nouvelles méthodes pour la modélisation informatique et la conception de systèmes mécaniques non linéaires et de matériaux. Dans le premier article, nous abordons le problème de la conception de systèmes mécaniques non linéaires présentant des mouvements périodiques stables en réponse à une force périodique. Nous présentons une méthode de calcul qui utilise une approche du domaine fréquentiel pour la simulation dynamique et la puissante analyse de sensibilité pour l'optimisation de la conception afin de concevoir des systèmes mécaniques conformes avec des oscillations de grande amplitude. Notre méthode est polyvalente et peut être appliquée à divers types de systèmes mécaniques souples. Nous validons son efficacité en fabriquant et en évaluant plusieurs prototypes physiques. Ensuite, nous nous concentrons sur la modélisation informatique et la caractérisation mécanique des matériaux non linéaires dominés par le contact, en particulier les matériaux à emboîtement discret (DIM), qui sont des tissus de cotte de mailles généralisés constitués d'éléments d'emboîtement quasi-rigides. Contrairement aux matériaux élastiques conventionnels pour lesquels la déformation et la force de rappel sont directement couplées, la mécanique des DIM est régie par des contacts entre des éléments individuels qui donnent lieu à des contraintes de déformation cinématique anisotrope. Pour reproduire le comportement biphasique du DIM sans simuler des structures à micro-échelle coûteuses, nous introduisons une méthode efficace de limitation de la déformation anisotrope basée sur la programmation conique du second ordre (SOCP). En outre, pour caractériser de manière exhaustive la forte anisotropie, le couplage complexe et d'autres phénomènes non linéaires du DIM, nous introduisons une nouvelle approche d'homogénéisation pour distiller des limites de déformation à grande échelle à partir de simulations à micro-échelle et nous développons un modèle macromécanique basé sur des données pour simuler le DIM avec des contraintes de déformation homogénéisées. / Nonlinear mechanical systems and materials are broadly used in diverse fields. However, their modeling and design are nontrivial as they require a complete understanding of their internal nonlinearities and other phenomena. To enable their efficient design, we must first introduce computational models to accurately characterize their complex behavior. Furthermore, new inverse design techniques are also required to capture how the behavior changes when we change the design parameters of nonlinear mechanical systems and materials. Therefore, in this thesis, we introduce three novel methods for computational modeling and design of nonlinear mechanical systems and materials. In the first article, we address the design problem of nonlinear mechanical systems exhibiting stable periodic motions in response to a periodic force. We present a computational method that utilizes a frequency-domain approach for dynamical simulation and the powerful sensitivity analysis for design optimization to design compliant mechanical systems with large-amplitude oscillations. Our method is versatile and can be applied to various types of compliant mechanical systems. We validate its effectiveness by fabricating and evaluating several physical prototypes. Next, we focus on the computation modeling and mechanical characterization of contact-dominated nonlinear materials, particularly Discrete Interlocking Materials (DIM), which are generalized chainmail fabrics made of quasi-rigid interlocking elements. Unlike conventional elastic materials for which deformation and restoring forces are directly coupled, the mechanics of DIM are governed by contacts between individual elements that give rise to anisotropic kinematic deformation constraints. To replicate the biphasic behavior of DIM without simulating expensive microscale structures, we introduce an efficient anisotropic strain-limiting method based on second-order cone programming (SOCP). Additionally, to comprehensively characterize strong anisotropy, complex coupling, and other nonlinear phenomena of DIM, we introduce a novel homogenization approach for distilling macroscale deformation limits from microscale simulations and develop a data-driven macromechanical model for simulating DIM with homogenized deformation constraints.