Cable-Network Structures: A New Approach to Form-Finding, Optimal Design, and Shape Control provides a framework for form finding, optimal design, and shape control of cable-network structures in various engineering applications. Summarizing the latest research on these structures, the book outlines cutting-edge methods for form finding, modeling, pseudo-geodesic design of surface geometries, minimum residual nodal displacements for optimal shape adjustment, and more. These methods are applied to various large-scale structures, and they are compared with other methods in numerical simulations.
Self-contained and easy-to-understand, this book serves as a useful resource on modeling, analysis, design, and control of cable-network structures for professionals, researchers, and students in aerospace, mechanical, and civil engineering.
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Sichen Yuan is an Assistant Professor in the Department of Aerospace Engineering and Mechanics at the College of Engineering, The University of Alabama. He received his master's and doctoral degrees from the Department of Aerospace and Mechanical Engineering at the University of Southern California. Before that, he earned his bachelor's degree from the School of Mechanical and Power Engineering at Shanghai Jiao Tong University. With many years of academic research experience, Professor Yuan's work covers a range of topics, including deployable structures, mechanical vibrations, micro-robots, artificial intelligence, and metamaterials. His research findings have been published in prestigious international academic journals such as the International Journal of Solids and Structures, AIAA Journal, Engineering Structures, and Acta Astronautica.
Bingen Yang is a Professor of Aerospace and Mechanical Engineering at the University of Southern California, where he has taught for more than three decades. Being an active researcher and author, his current research interests include modeling, analysis, and control of flexible structures and complicated dynamic systems, electromechanical systems, and computational methods for problems in engineering applications. A fellow of the American Society of Mechanical Engineers, Dr. Yang received his Ph.D. in mechanical engineering from the University of California at Berkeley.
Cable-Network Structures provides a framework for form-finding, optimal design, and shape control of cable-network structures in various engineering applications. Summarizing the latest research on these structures, the book outlines cutting-edge methods for form finding, modeling, pseudo-geodesic design of surface geometries, minimum residual nodal displacements for optimal shape adjustment, and more. These methods are applied to various large-scale structures, and they are compared with other methods in numerical simulations.
Self-contained and easy-to-understand, this book serves as a useful resource on modeling, analysis, design, and control of cable-network structures for professionals, researchers, and students in aerospace, mechanical, and civil engineering.
"About this title" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Cable-Network Structures: A New Approach to Form-Finding, Optimal Design, and Shape Control provides a framework for form finding, optimal design, and shape control of cable-network structures in various engineering applications. Summarizing the latest research on these structures, the book outlines cutting-edge methods for form finding, modeling, pseudo-geodesic design of surface geometries, minimum residual nodal displacements for optimal shape adjustment, and more. These methods are applied to various large-scale structures, and they are compared with other methods in numerical simulations.Self-contained and easy-to-understand, this book serves as a useful resource on modeling, analysis, design, and control of cable-network structures for professionals, researchers, and students in aerospace, mechanical, and civil engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780323953818
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