Computation and material practice in architecture: intersecting intention and execution during design development

 It is generally believed that computation and computer numerical control (CNC) manufacturing technologies empower architects by enabling better integrated architectural design to production processes. While this is a tantalizing prospect, there is no clear strategy in place for achieving this goal. Furthermore, the extent to which design, engineering and construction might be integrated around digital technologies is currently limited as the computational processes architects use for design exploration are not typically informed by material logic and the logistics of materialisation. My research explores whether computation and CNC manufacturing can support more informed design methods and better integrated production processes in architecture. I identify the critical factors involved in pursuing this goal and elaborate on an integral computational methodology capable of enhancing the bond between designing and making in architecture. My hypothesis is that digitally mediated design and manufacturing can strengthen the relationship between intention and execution by enabling closer engagement with fabrication during early design exploration, and by supporting more informed decision making via dynamic design representations with embedded material intelligence. This hypothesis has been developed and tested through project led research. Although different in nature, the three investigations I have undertaken serve as complimentary vehicles of discovery and evidence for my claims. Each investigation was devised and carried out in response to practical observations, a critical review of literature focu¬sing on historical and contemporary relationships between design and construction, and a series of precedent studies related to materially informed design computing. As a group they contribute to understanding how digital technologies might be employed by architects to enhance and expand design to production processes, and shed light on some of the technical, cultural and philosophical implications of a deeper engagement with materials and processes of making within the discipline of architecture. My research concludes that new kinds of interactive simulation and evaluation tools, and access to digital fabrication technologies, enables an accelerated generation, evaluation and calibration process during early design exploration. This mutually informed digital-material feedback loop makes it possible to rapidly develop acute material intuition, and consequently to conceive new kinds of architectural systems and materialisation strategies which could lead to better use of available resources, more innovative design and a stronger bond between intent and outcome through more streamlined design to production processes. The digitally supported materially informed methodology that I outline encourages a shift in design process and attitude, away from a visually driven mode of architectural composition towards material practice - an approach in which the self-organising logic of materials and the logistics of materialisation are used to actively inform design exploration, refinement and construction processes. My project based outcomes, findings and observations prompt re-evaluation of the conventional distance between architects and processes of making by highlighting the importance of deep material engagement and broad practical knowledge when utilising computation and CNC manufacturing technologies for designing and producing architecture

Engineering handbook

1996 handbook for the faculty of Engineerin

Engineering handbook

2003 handbook for the faculty of Engineerin

Aerodynamic and cost modelling for aircraft in a multi-disciplinary design context.

A challenge for the scientific community is to adapt to and exploit the trend towards greater multidisciplinary focus in research and technology. This work is concerned with multi-disciplinary design for whole aircraft configuration, including aero performance and financial considerations jointly for an aircraft program. A Multi-Disciplinary (MD) approach is required to increase the robustness of the preliminary design data and to realise the overall aircraft performance objectives within the required timescales. A pre-requisite for such an approach is the existence of efficient and fully integrated processes. For this purpose an automatic aero high-speed analysis framework has been developed and integrated using a commercial integration/building environment. Starting from the geometry input, it automatically generates aero data for loads in a timescale consistent with level requirement, which can afterwards be integrated into the overall multi-disciplinary process. A 3D Aero-solution chain has been implemented as a high-speed aerodynamic evaluation capability, and although there is not yet a complementary fully automated Aerodynamic design process, two integrated systems to perform multi-objective optimisation have been developed using different optimisation approaches. In addition to achieving good aircraft performance, reducing cost may be essential for manufacturer survival in today's competitive market. There is thus a strong need to understand the cost associated with different competing concepts and this could be addressed by incorporating cost estimation in the design process along with other analyses to achieve economic and efficient aircraft. For this reason a pre-existing cost model has been examined, tested, improved, and new features added. Afterwards, the cost suite has been integrated using an integration framework and automatically linked with external domains, providing a capability to take input from other domain tool sets. In this way the cost model could be implemented in a multi-disciplinary process allowing a trade-off between weight, aero performance and cost. Additionally, studies have been performed that link aerodynamic characteristics with cost figures and reinforce the importance of considering aerodynamic, structural and cost disciplines simultaneously. The proposed work therefore offers a strong basis for further development. The modularity of the aero optimisation framework already allows the application of such techniques to real engineering test cases, and, in future, could be combined with the 3D aero solution chain developed. In order to further reduce design wall-clock time the present multi- level parallelisation could also be deployed within a more rapid multi-fidelity approach. Finally the 3D aero-solution chain could be improved by directly incorporating a module to generate aero data for performance, and linking this to the cost suite informed by the same geometrical variables.Engineering and Physical Sciences (EPSRC)PhD in Aerospac

Synthesis of aesthetics for ship design

In the search for consensus on a definition of beauty, fitting the task of appreciating a ship’s design, this research revealed that other components of visual appraisal and 3d pattern analysis are required for a systemic approach. The model process presented is built around local adaptation and Gestalt psychology and uses retrospective case studies to categorise and calculate proportions, and recognisable patterns. The number of results from each type of vessel were found to be different, due to each ship or boats various geometries and anatomy, which illuminated the importance of standardising a procedure of categorisation in the appreciative approach.The categorisation of functions around the philosophy of functional beauty and the maths of summation series, it is suggested here, will allow a library of algebraic patterns and parameters to penetrate further into the impending or emulated integrated systems of ship design. The process to derive physical parameters via the culturally focussed narrative of functional beauty, is deemed as a manageable and novel addition to the naval architect's role. However, for the results to have a decisive impact on commercial design or education, variance and validation through further case studies is required

Aeronautical engineering: A continuing bibliography with indexes (supplement 219)

This bibliography lists 586 reports, articles, and other documents introduced into the NASA scientific and technical information system in October, 1987

Ingénierie systèmes basée sur les modèles appliquée à la gestion et l'intégration des données de conception et de simulation : application aux métiers d'intégration et de simulation de systèmes aéronautiques complexes

The aim of this doctoral thesis is to contribute to the facilitation of design, integration and simulation activities in the aeronautics industry, but more generally in the context of collaborative complex product development. This objective is expected to be achieved through the use and improvement of digital engineering capabilities. During the last decade, the Digital Mock-Up (DMU) – supported by Product Data Management (PDM) systems – became a key federating environment to exchange/share a common 3D CAD model-based product definition between co-designers. It enables designers and downstream users(analysts) to access the geometry of the product assembly. While enhancing 3D and 2D simulations in a collaborative and distributed design process, the DMU offers new perspectives for analysts to retrieve the appropriate CAD data inputs used for Finite Element Analysis (FEA), permitting hence to speed-up the simulation preparation process. However, current industrial DMUs suffer from several limitations, such as the lack of flexibility in terms of content and structure, the lack of digital interface objects describing the relationships between its components and a lack of integration with simulation activities and data.This PhD underlines the DMU transformations required to provide adapted DMUs that can be used as direct input for large assembly FEA. These transformations must be consistent with the simulation context and objectives and lead to the concept of “Product View” applied to DMUs andto the concept of “Behavioural Mock-Up” (BMU). A product view defines the link between a product representation and the activity or process (performed by at least one stakeholder) that use or generate this representation as input or output respectively. The BMU is the equivalent of the DMU for simulation data and processes. Beyond the geometry, which is represented in the DMU,the so-called BMU should logically link all data and models that are required to simulate the physical behaviour and properties of a single component or an assembly of components. The key enabler for achieving the target of extending the concept of the established CAD-based DMU to the behavioural CAE-based BMU is to find a bi-directional interfacing concept between the BMU and its associated DMU. This the aim of the Design-Analysis System Integration Framework (DASIF) proposed in this PhD. This framework might be implemented within PLM/SLM environments and interoperate with both CAD-DMU and CAE-BMU environments. DASIF combines configuration data management capabilities of PDM systems with MBSE system modelling concepts and Simulation Data Management capabilities.This PhD has been carried out within a European research project: the CRESCENDO project, which aims at delivering the Behavioural Digital Aircraft (BDA). The BDA concept might consist in a collaborative data exchange/sharing platform for design-simulation processes and models throughout the development life cycle of aeronautics products. Within this project, the Product Integration Scenario and related methodology have been defined to handle digital integration chains and to provide a test case scenario for testing DASIF concepts. These latter have been used to specify and develop a prototype of an “Integrator Dedicated Environment” implemented in commercial PLM/SLM applications. Finally the DASIF conceptual data model has also served as input for contributing to the definition of the Behavioural Digital Aircraft Business Object Model: the standardized data model of the BDA platform enabling interoperability between heterogeneous PLM/SLM applications and to which existing local design environments and new services to be developed could plug.L’objectif de cette thèse est de contribuer au développement d’approches méthodologiques et d’outils informatiques pour développer les chaînes d’intégration numériques en entreprise étendue. Il s’agit notamment de mieux intégrer et d’optimiser les activités de conception, d’intégration et de simulation dans le contexte du développement collaboratif des produits/systèmes complexes.La maquette numérique (DMU) – supportée par un système de gestion de données techniques (SGDT ou PDM) – est devenue ces dernières années un environnement fédérateur clé pour échanger et partager une définition technique et une représentation 3D commune du produit entre concepteurs et partenaires. Cela permet aux concepteurs ainsi qu’aux utilisateurs en aval (ceux qui sont en charge des simulations numériques notamment) d’avoir un accès à la géométrie du produit virtuel assemblé. Alors que les simulations numériques 3D et 2D prennent une place de plus en plus importante dans le cycle de développement du produit, la DMU offre de nouvelles perspectives à ces utilisateurs pour récupérer et exploiter les données CAO appropriées et adaptées pour les analyses par éléments finis. Cela peut ainsi permettre d’accélérer le processus de préparation du modèle de simulation. Cependant, les environnements industriels de maquettes numériques sont actuellement limités dans leur exploitation par : - un manque de flexibilité en termes de contenu et de structure, - l’absence d’artefact numérique 3D permettant de décrire les interfaces des composants de l’assemblage, - un manque d’intégration avec les données et activités de simulation.Cette thèse met notamment l’accent sur les transformations à apporter aux DMU afin qu’elles puissent être utilisées comme données d’entrée directes pour les analyses par éléments finis d’assemblages volumineux (plusieurs milliers de pièces). Ces transformations doivent être en cohérence avec le contexte et les objectifs de simulation et cela nous a amené au concept de « vue produit » appliquée aux DMUs, ainsi qu’au concept de « maquette comportementale » (BMU). Une « vue produit » définit le lien entre une représentation du produit et l’activité ou le processus utilisant ou générant cette représentation. La BMU est l’équivalent de la DMU pour les données et les processus de simulation. Au delà des géométries discrétisées, la dénommée BMU devrait, en principe, lier toutes les données et les modèles qui seront nécessaires pour simuler le comportement d’un ou plusieurs composants. L’élément clé pour atteindre l’objectif d’élargir le concept établi de la DMU (basée sur des modèles CAO) à celui de la BMU (basée sur des modèles CAE), est de trouver un concept d’interface bidirectionnel entre la BMU et sa DMU associée. C’est l’objectif du « Design-Analysis System Integration Framework » (DASIF) proposé dans cette thèse de doctorat. Ce cadre a vise à être implémenté au sein d’environnements PLM/SLM et doit pouvoir inter-opérer à la fois avec les environnements CAD-DMU et CAE-BMU. DASIF allie les fonctionnalités de gestion de données et de configuration des systèmes PDM avec les concepts et formalismes d’ingénierie système basée sur les modèles (MBSE) et des fonctionnalités de gestion des données de simulation (SDM). Cette thèse a été menée dans le cadre d’un projet de recherche européen : le projet CRESCENDO qui vise à développer le « Behavioural Digital Aircraft » (BDA) qui a pour vocation d’être la« colonne vertébrale » des activités de conception et simulation avancées en entreprise étendue. Le concept du BDA doit s’articuler autour d’une plateforme collaborative d’échange et de partage des données de conception et de simulation tout au long du cycle de développement et de vie des produits aéronautiques. [...

Does Form follow Function? Connecting Function Modelling and Geometry Modelling for Design Space Exploration

The aerospace industry, representative of industries developing complex products, faces challenges from changes in user behaviour, legislation, environmental policy. Meeting these challenges will require the development of radically new products. Radically new technologies and solutions need to be explored, investigated, and integrated into existing aerospace component architectures. The currently available design space exploration (DSE) methods, mainly based around computer-aided design (CAD) modelling, do not provide sufficient support for this exploration. These methods often lack a representation of the product’s architecture in relation to its design rationale (DR)—they do not illustrate how form follows function. Hence, relations between different functions and solutions, as well as how novel ideas relate to the legacy design, are not captured. In particular, the connection between a product’s function and the embodiment of its solution is not captured in the applied product modelling approaches, and can therefore not be used in the product development process.To alleviate this situation, this thesis presents a combined function and geometry-modelling approach with automated generation of CAD models for variant concepts. The approach builds on enhanced function means (EF-M) modelling for representation of the design space and the legacy design’s position in it. EF-M is also used to capture novel design solutions and reference them to the legacy design’s architecture. A design automation (DA) approach based on modularisation of the CAD model, which in turn is based on the functional decomposition of the product concepts, is used to capture geometric product information. A combined function-geometry object model captures the relations between functions, solutions, and geometry. This allows for CAD models of concepts based on alternative solutions to be generated.The function- and geometry-exploration (FGE) approach has been developed and tested in collaboration with an aerospace manufacturing company. A proof-of-concept tool implementing the approach has been realised. The approach has been validated for decomposition, innovation, and embodiment of new concepts in multiple studies involving three different aerospace suppliers. Application of FGE provides knowledge capture and representation, connecting the teleological and geometric aspects of the product. Furthermore, it supports the exploration of increasingly novel solutions, enabling the coverage of a wider area of the design space.The connection between the modelling domains addresses a research gap for the “integration of function architectures with CAD models”.While the FGE approach has been tested in laboratory environments as well as in applied product development projects, further development is needed to refine CAD integration and user experience and integrate additional modelling domains

Behavioral formation: multi-agent algorithmic design strategies

Emergence and the behavior of complex systems are increasingly defining the contemporary understanding of processes as diverse as natural phenomena, social structures and the existence of consciousness. An interest in this self-organising behavior is explored in my architectural work through the development of a computational, generative design approach. The focus of this thesis is the interaction of emergent processes of formation and architectural design intention: a conceptualisation that has emerged through a process of reflecting on my practice of architecture. This PhD reflects on the projects, processes, techniques and concepts that have come to shape and define my practice. The body of work examined here has been developed through Kokkugia (an experimental research collaboration with Robert Stuart-Smith) and my architecture practice, Studio Roland Snooks. Through this process of reflection, I have extracted, articulated and developed a series of strategies, ideas and sensibilities that have been redeployed in subsequent projects, and point to future directions in this work. This body of work is positioned within an emerging group of architects who are engaging with complex systems, generative design strategies and algorithmic techniques. The original contribution this design research makes within this milieu lies in my focus and experimentation with a process of embedding architectural design intention within generative algorithms. Design intention is recast as behaviors – discrete, micro-scale architectural decisions, relationships or procedures – that are encoded within multi-agent algorithms. It is the local interaction of these agents that self-organises architectural design intention at the macro-level. An iterative design process has been established that negotiates between this emergent process, subjective evaluation and direct design decisions. The multi-agent algorithms developed in this design research draw on the logic of swarm intelligence (a branch of complexity theory), which describes the emergent, collective behavior that can be found in phenomena such as schools of fish, flocks of birds, social insects and slime mould. The implications of working through these highly iterative, non-linear, computational design processes are manifest as a compression of tectonic hierarchies and a blurring of geometric types. This behavioral design process negotiates between various architectural design intentions through the geometry of architecture, creating a synthetic but differentiated assemblage, and uncoupling geometric elements from architectural roles. The architectural projects that we coax out of these processes exhibit emergent qualities – strange, intricate characteristics; complex order; and intensive capacities to affect

Unified modelling of aerospace systems: a bond graph approach

Systems Integration is widely accepted as the basis for improving the efficiency and performance of many engineering products. The aim is to build a unified optimised system not a collection of subsystems that are combined in some ad hoc manner. This moves traditional design boundaries and, in so doing, enables a structured evolution from an integrated system concept to an integrated system product. It is recognised that the inherent complexity cannot be handled effectively without mathematical modelling. The problem is not so much the large number of components but rather the very large number of functional interfaces that result. The costs involved are high and, if the claims of improved efficiency and performance are to be affordable (or even achievable), predictive modelling and analysis will play a major role in reducing risk. A modelling framework is required which can support integrated system development from concept through to certification. This means building a 'system' inside a computer and demonstrating the feasibility of an entire development cycle. The objective is to provide complete coverage of system functionality so as to gain confidence in the design before becoming locked into a full development programme with associated capital investment and contractual arrangements. With these points in mind the purpose of this thesis is threefold. First, to demonstrate the application of bond graphs as a unified modelling framework for aerospace systems. Second, to review the main principles involved with the modelling of engineering systems and to justify the selection of the bond graph notation as a suitable means of representing the power flow (i.e. the dynamics) of physical systems. Third, to present an exposition of the bond graph method and to evolve it into a versatile notation for integrated systems. The originality of the work is based on the recognition that systems integration is a relatively new field of interest without a mature body of academic literature or reported research. Apparently, there is no open literature on the modelling of complete air vehicles plus their embedded vehicle systems which deals with issues of integrated dynamics and control. To this end, bond graph concepts need to be developed and extended in new direction in order to facilitate an intuitive approach to the modelling of integrated systems