Bioinspired Structures And Design

Human cortical bone as a structural material : Hierarchical design and biological degradation / Robert Ritchie and Elizabeth A. Zimmermann -- Bio-inspiration from nacre / Nima Rahbar and Sina Askarinejad -- Bio-inspiration from bamboo / Ting Tan and Wole Soboyejo.

This book comprises a first survey of the Collaborative Research Center SFB-TRR 141 ‘Biological Design and Integrative Structures – Analysis, Simulation and Implementation in Architecture’, funded by the Deutsche Forschungsgemeinschaft since October 2014. The SFB-TRR 141 provides a collaborative framework for architects and engineers from the University of Stuttgart, biologists and physicists from the University of Freiburg and geoscientists and evolutionary biologists from the University of Tübingen. The programm is conceptualized as a dialogue between the disciplines and is based on the belief that that biomimetic research has the potential to lead everyone involved to new findings far beyond his individual reach. During the last few decades, computational methods have been introduced into all fields of science and technology. In architecture, they enable the geometric differentiation of building components and allow the fabrication of porous or fibre-based materials with locally adjusted physical and chemical properties. Recent developments in simulation technologies focus on multi-scale models and the interplay of mechanical phenomena at various hierarchical levels. In the natural sciences, a multitude of quantitative methods covering diverse hierarchical levels have been introduced. These advances in computational methods have opened a new era in biomimetics: local differentiation at various scales, the main feature of natural constructions, can for the first time not only be analysed, but to a certain extent also be transferred to building construction. Computational methodologies enable the direct exchange of information between fields of science that, until now, have been widely separated. As a result they lead to a new approach to biomimetic research, which, hopefully, contributes to a more sustainable development in architecture and building construction.

Bio-inspired design (also called biomimetics or biomimicry) is a promising approach for the development of innovative technical products – not only in mechanical engineering, but also in areas such as material science and even computer engineering. Innovations such as humanoid robots or multifunctional materials have shown the potential of bio-inspired design. However, in industrial companies, bio-inspired design remains an “exotic” approach which is rarely used in innovation practice. One reason for this is a lack of knowledge on how to implement bio-inspired design in practice. Therefore, this guide book was written to explain the application of bio-inspired design methods and tools. The target groups are professional engineers and biologists, as well as students of both disciplines. The book presents a selection of methods for specific activities in bio-inspired design, namely: planning a bio-inspired design project, abstraction, search, analysis and comparison, and transfer of analogies. Factsheets give an overview of each method, its advantages and challenges, and its suitability for different bio-inspired design approaches and scenarios. To facilitate understanding, all methods are explained with the help of the same example. In addition, ten best practice examples show the practical applicability of bio-inspired design.

From simple cases such as hook and latch attachments found in Velcro to articulated-wing flying vehicles, biology often has been used to inspire many creative design ideas. The scientific challenge now is to transform the paradigm into a repeatable and scalable methodology. Biologically Inspired Design explores computational techniques and tools that can help integrate the method into design practice. With an inspiring foreword from Janine Benyus, Biologically Inspired Design contains a dozen chapters written by some of the leading scholars in the transdisciplinary field of bioinspired design, such as Frank Fish, Julian Vincent and Jeannette Yen from biology, and Amaresk Chakrabarti, Satyandra Gupta and Li Shu from engineering. Based in part on discussions at two workshops sponsored by the United States National Science Foundation, this volume introduces and develops several methods and tools for bioinspired design including: Information-processing theories, Natural language techniques, Knowledge-based tools, and Functional approaches and Pedagogical techniques. By exploring these fundamental theories, techniques and tools for supporting biologically inspired design, this volume provides a comprehensive resource for design practitioners wishing to explore the paradigm, an invaluable guide to design educators interested in teaching the method, and a preliminary reading for design researchers wanting to investigate bioinspired design.

From experts in engineering and biology, this is the first book to integrate sensor and actuator technology with bioinspired design.

Photonic structures occurring in biological tissues such as butterfly wings, beetle elytra or fish scales are responsible for a broad range of optical effects including iridescence, narrow-band reflection, large solid-angle scattering, polarization effects, additive color mixing, fluid-induced color changes, controlled fluorescence. Studies have provided understanding of the underlying optical mechanisms and the biological functions as well as inspiration for the design and development of novel photonic devices, also called bioinspiration. In this forward-thinking book, the research related to photonic structures in natural organisms is reviewed with a main foPhotonic structures occurring in biological tissues such as butterfly wings, beetle elytra, or fish scales are responsible for a broad range of optical effects including iridescence, narrow band reflection, large solid-angle scattering, polarization, additive color mixing, fluid induced color changes, and controlled fluorescence. This book reviews research of biological photonic devices in accordance with the fundamental aspects of physical optics and environmental biology. It provides readers with an understanding of numerical modelling based on morphological and optical characterizations as well as the quantitative treatment of color vision. This forward-thinking book ties these concepts to the design and synthesis of bioinspired photonic devices and opens the door to the applications of nature’s lessons in the technical world. This resource introduces a methodology for working with and utilizing bioinspiration. It includes the experimental and numerical tools necessary for the characterization and simulation of photonic structures and uses original concepts as examples, with a focus on bioinspired hygrochromatic materials. Professionals are brought up to speed on a variety of fabrication techniques and methods of synthesis all following a straightforward bottom-up or top-down approach. The reader will gain an understanding of the capability of bioinspiration to meet human needs. This book’s explanation of how natural photonics structures behave as efficient solar absorbers or thermal management devices makes it a useful resource for technical professionals in the field of energy and environment, and the concepts presented in this book also have applications in the designs of optical coatings, sensors, and light sources.

Takes a materials science approach, correlating structure-property relationships with function across a broad range of biological materials.

This volume offers edited papers presented at the IUTAM-Symposium Topological design optimization of structures, machines and materials - status and perspectives, October 2005. The papers cover the application of topological design optimization to fluid-solid interaction problems, acoustics problems, and to problems in biomechanics, as well as to other multiphysics problems. Also in focus are new basic modelling paradigms, covering new geometry modelling such as level-set methods and topological derivatives.