High-dimensional Design Space Visualization for Conceptual Structural Design
High-dimensional Design Space Visualization for Conceptual Structural Design

Author: Caitlin T. Mueller

Publisher:

Published: 2014

Total Pages: 66

ISBN-13:

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This thesis focuses on visualizing high-dimensional design spaces for early-stage design problems in structural engineering and related disciplines. The design space, which is defined as the n + 1-dimensional surface that relates n design variables to a performance metric, contains all possible solutions to a formulated design problem. Graphical views of the design space are highly useful for designers because they organize a wide range of design possibilities in a compact, intuitive, and logical manner, illuminating global patterns, variable behaviors and relationships, and the nature of paths taken during iterative design processes. Design problems with two or fewer variables can easily be visualized in Euclidian space, through a curve or surface, but high-dimensional problems are difficult to display graphically. This is the key challenge addressed in this thesis. The thesis includes a critical review of existing methods for high-dimensional design space visualization, highlighting the unmet needs across a range of approaches. In response to these needs, the thesis makes a key contribution in the form of a new design space visualization method, called isoperforming parallel coordinate clusters (IPC clusters), that overcomes the issues of previous techniques. The IPC cluster approach is demonstrated on several conceptual structural design problems, and its application in optimization, directed exploration, and related design strategies is illustrated. Finally, the thesis concludes with a discussion of applications, impact, and future research directions. Key words: design space visualization, conceptual design, structural design, structural optimization

Conceptual Design of Structures
Conceptual Design of Structures

Author: Pierluigi D'Acunto

Publisher: Birkhäuser

Published: 2024-04-22

Total Pages: 224

ISBN-13: 3035628890

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Most of the embodied energy can be saved in the load-bearing structure! Conceptual Design of Structures is working at the interface between structural engineering, architecture, and art. The book seeks to answer the complex question of what needs to be considered when conceiving a building structure. What influences the process of conceptual thinking? How do space and structure interact? In what ways do architects and engineers work together? The book thus sheds light on the topic of multidisciplinary interrelationships in design, showing numerous different perspectives. Renowned practitioners and researchers from architecture and engineering share their insights, as do artists and historians who cross the disciplinary boundaries. Furthermore, this book also provides an outlook on possible future developments and aspects of sustainable design and construction. Bridging practice, academic, and research Holistic perspectives through contributors from different disciplines Numerous essays, interviews and project reviews provide direct insights Selected works from engineering, architecture, and art

Autonomous Assembly
Autonomous Assembly

Author: Skylar Tibbits

Publisher: John Wiley & Sons

Published: 2018-02-05

Total Pages: 142

ISBN-13: 1119102367

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We are now on the brink of a new era in construction – that of autonomous assembly. For some time, the widespread adoption of robotic and digital fabrication technologies has made it possible for architects and academic researchers to design non-standard, highly customised structures. These technologies have largely been limited by scalability, focusing mainly on top-down, bespoke fabrication projects, such as experimental pavilions and structures. Autonomous assembly and bottom-up construction techniques hold the promise of greater scalability, adaptability and potentially evolved design possibilities. By capitalising on the advances made in swarm robotics, the collective construction of the animal/insect kingdom, and advances in physical computational, programmable materials or self-assembly, architects and designers are now able to build from the bottom up. This issue presents future scenarios of autonomous assembly by highlighting the viability of decentralised, collective assembly systems, demonstrating the potential to deliver reconfigurable and adaptive solutions. Contributors include: Marcelo Coelho, Andong Liu, Robin Meier, Kieran Murphy and Heinrich Jaeger, Radhika Nagpal and Kirstin Petersen, and Zorana Zeravcic. Featured architects: Aranda\Lasch, Arup, Philippe Block, Gramazio Kohler Architects, Ibañez Kim, Achim Menges, Caitlin Mueller, Jose Sanchez, Athina Papadopoulou and Jared Laucks, and Skylar Tibbits.

Visualizing Variable Sensitivity in Structural Design
Visualizing Variable Sensitivity in Structural Design

Author: Anthony Benjamin McHugh

Publisher:

Published: 2017

Total Pages: 62

ISBN-13:

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Computational tools allow designers to consider vast amounts of information when designing structures; however, without intuitive ways to visualize and model this data it is of little use in the creative process. In this thesis, the context for the use of computational design tools is established through a brief review of methods of incorporating structural optimization into conceptual design. Then, a novel method of visualizing variable sensitivity is presented in a way that complements established methods of interactive optimization. The technique depends upon local sampling of the design space, which reveals the behavior of quantitative structural and architectural objectives to variations in geometric parameters. Two case studies are given to demonstrate the different forms the visualizations may take and how a designer might choose to interpret those forms. The visualization technique and design approach contribute to modern practices in high-performance structural design by revealing significant behaviors of structures during the conceptual design stage.

Structures and Architecture
Structures and Architecture

Author: Paulo J. Cruz

Publisher: CRC Press

Published: 2016-10-14

Total Pages: 1553

ISBN-13: 1317549961

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Although the disciplines of architecture and structural engineering have both experienced their own historical development, their interaction has resulted in many fascinating and delightful structures. To take this interaction to a higher level, there is a need to stimulate the inventive and creative design of architectural structures and to persuade architects and structural engineers to further collaborate in this process, exploiting together new concepts, applications and challenges. This set of book of abstracts and full paper searchable CD-ROM presents selected papers presented at the 3rd International Conference on Structures and Architecture Conference (ICSA2016), organized by the School of Architecture of the University of Minho, Guimarães, Portugal (July 2016), to promote the synergy in the collaboration between the disciplines of architecture and structural engineering.

A Framework for Form-based Conceptual Design in Structural Engineering
A Framework for Form-based Conceptual Design in Structural Engineering

Author:

Publisher:

Published: 2004

Total Pages:

ISBN-13:

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Conceptual structural design is a process through which structural forms are created. The forms are shaped by a set of design requirements representing the expected function, and by constraints that reflect physical laws and practical limitations. There is no direct mathematical transformation from requirements to a form; the conceptual design process is nonlinear and iterative. Like all creative processes, it is most effective when ideas can be rapidly synthesized, dissolved, combined and evolved. In structural design, these ideas need to be evaluated in the context of performance, functionality, and cost. Conceptual design, compared to later design stages, is characterized by a high degree of uncertainty and a general lack of knowledge. A key objective in conceptual structural design is therefore to rapidly create, modify and evaluate vague or abstract structural forms. This work describes a computational framework to support conceptual structural design, emphasizing the importance of form. Techniques from image processing, pattern recognition and linguistics are used to describe, classify, and reason with forms at high levels of abstraction. Most other computer applications in conceptual structural design describe design concepts in terms of words or through simplified spatial relationships. This work highlights the central role that visual information plays in formulating ideas in conceptual design. The major contributions of this work are an efficient method for synthesizing conceptual designs of discrete structures, and the application of pattern recognition and visual case-based reasoning techniques to conceptual structural design. The framework is directed towards large-scale discrete structures characterized by interconnected linear elements. During synthesis, forms are initially created using topology optimization methods; these forms are processed to extract high level information that supports further structural optimization, including the assessment of.

Structural Visualization
Structural Visualization

Author: Johnson O'Connor

Publisher:

Published: 2009-07

Total Pages: 206

ISBN-13: 9781104845797

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This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.

Foundations of Data Visualization
Foundations of Data Visualization

Author: Min Chen

Publisher: Springer Nature

Published: 2020-08-11

Total Pages: 395

ISBN-13: 3030344444

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This is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms. It offers a collection of investigative discourses that probe these questions from different perspectives, including concepts that help frame these questions and their potential answers, mathematical methods that underpin the scientific reasoning of these questions, empirical methods that facilitate the validation and falsification of potential answers, and case studies that stimulate hypotheses about potential answers while providing practical evidence for such hypotheses. Readers are not instructed to follow a specific theory, but their attention is brought to a broad range of schools of thoughts and different ways of investigating fundamental questions. As such, the book represents the by now most significant collective effort for gathering a large collection of discourses on the foundation of data visualization. Data visualization is a relatively young scientific discipline. Over the last three decades, a large collection of computer-supported visualization techniques have been developed, and the merits and benefits of using these techniques have been evidenced by numerous applications in practice. These technical advancements have given rise to the scientific curiosity about some fundamental questions such as why and how visualization works, when it is useful or effective and when it is not, what are the primary factors affecting its usefulness and effectiveness, and so on. This book signifies timely and exciting opportunities to answer such fundamental questions by building on the wealth of knowledge and experience accumulated in developing and deploying visualization technology in practice.

Handbook of Computational Statistics
Handbook of Computational Statistics

Author: James E. Gentle

Publisher: Springer Science & Business Media

Published: 2012-07-06

Total Pages: 1180

ISBN-13: 3642215513

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The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.