Probabilistic Optimisation Of Composite Structures: Machine Learning For Design Optimisation: 15 (Computational and Experimental Methods in Structures) - Tapa dura

Yoo, Kwangkyu Alex; Nogales, Omar Bacarreza; Aliabadi, M H Ferri

 
9781800616844: Probabilistic Optimisation Of Composite Structures: Machine Learning For Design Optimisation: 15 (Computational and Experimental Methods in Structures)
Tapa dura
ISBN 10: 1800616848 ISBN 13: 9781800616844
Editorial: WSPC (EUROPE), 2025

Sinopsis

This book introduces an innovative approach to multi-fidelity probabilistic optimisation for aircraft composite structures, addressing the challenge of balancing reliability with computational cost. Probabilistic optimisation pursues statistically reliable and robust solutions by accounting for uncertainties in data, such as material properties and geometry tolerances. Traditional approaches using high-fidelity models, though accurate, are computationally expensive and time-consuming, especially when using complex methods such as Monte Carlo simulations and gradient calculations. For the first time, the proposed multi-fidelity method combines high- and low-fidelity models, enabling high-fidelity models to focus on specific areas of the design space, while low-fidelity models explore the entire space. Machine learning technologies, such as artificial neural networks and nonlinear autoregressive Gaussian processes, fill information gaps between different fidelity models, enhancing model accuracy. The multi-fidelity probabilistic optimisation framework is demonstrated through the reliability-based and robust design problems of aircraft composite structures under a thermo-mechanical environment, showing acceptable accuracy and reductions in computational time.

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Editorial
WSPC (EUROPE)
Año de publicación
2025
Idioma
Inglés
ISBN 10 
1800616848
ISBN 13 
9781800616844
Encuadernación
Tapa dura
Número de páginas
206
Contacto del fabricante
World Scientific Publishing
https://www.worldscientific.com/

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