Hardcover. In the realm of engineering structures design, the inevitability of uncertainties poses a significant challenge. Uncertainty-Based Multidisciplinary Design and Optimization (UBMDO) stands out for its dual ability to precisely quantify the impact of uncertain variables and harness the potential of multidisciplinary design and optimization, thereby attracting considerable attention. From basic theory to advanced applications, this book helps readers achieve more efficient and reliable design optimization in complex systems through rich case studies and practical technical guidance.The book systematically expounds the fundamental theories and methods of UBMDO, encompassing crucial techniques such as uncertainty modeling, sensitivity analysis, approximate modeling, and uncertainty-based optimization. It also introduces various uncertainty analysis methods, such as stochastic, non-probabilistic, and hybrid approaches, aiding readers in comprehending and managing uncertainty within systems. Through diverse practical engineering cases in fields like machinery, aerospace, and energy, it illustrates the specific application and implementation process of the UBMDO method. Rich graphics, algorithms, and simulation results augment the practicality and applicability of the theoretical knowledge. Furthermore, it explores in depth the future development trends and challenges of UBMDO, sparking innovative thinking and research interests among readers in this field.Multidisciplinary Design Optimization of Complex Structures Under Uncertainty caters to a diverse audience: Engineers specializing in multidisciplinary design optimization are given the tools to master uncertainty management, and researchers in related fields will gain important theoretical insights and practical guidance in uncertainty analysis. Additionally, scholars and educators can utilize the book as a comprehensive resource for advanced courses, enabling students to grasp the latest UBMDO applications. Decision makers and managers handling complex systems can extract methods from the book, facilitating improved risk assessment, and strategic development through uncertainty-based optimization. From basic theory to advanced applications, this helps readers achieve more efficient and reliable design optimization in complex systems through rich case studies and practical technical guidance, presenting the fundamental theories and methods of Uncertainty-Based Multidisciplinary Design and Optimization. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo

Multidisciplinary Design Optimization of Complex Structures Under Uncertainty (Hardcover)

Editor

Taylor & Francis Ltd, London

Fecha de publicaci�n

2024

Idioma

Ingl�s

ISBN 10

1032735619

ISBN 13

9781032735610

Encuadernaci�n

Hardcover

Estado

new

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Sinopsis

From basic theory to advanced applications, this helps readers achieve more efficient and reliable design optimization in complex systems through rich case studies and practical technical guidance, presenting the fundamental theories and methods of Uncertainty-Based Multidisciplinary Design and Optimization.

Acerca del autor

Debiao Meng is an associate professor in the School of Mechanical and Electrical Engineering at the University of Electronic Science and Technology of China, China.

Shun-Peng Zhu is a professor in the School of Mechanical and Electrical Engineering at the University of Electronic Science and Technology of China, China.

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