TY - BOOK AU - Yoo,Kwangkyu Alex AU - Bacarreza,Omar AU - Aliabadi,M.H. TI - Probabilistic optimisation of composite structures: machine learning for design optimisation T2 - Computational and experimental methods in structures, SN - 9781800616851 AV - TA658.8 U1 - 624.177130285 23 PY - 2025/// CY - London PB - World Scientific Publishing Europe KW - Structural optimization KW - Mathematical models KW - Data processing KW - Composite construction KW - Machine learning KW - Industrial applications KW - Electronic books N1 - Includes bibliographical references and index; Introduction -- Fundamentals of structural optimisation -- Multi-fidelity models -- Multi-fidelity reliability-based design optimisation -- Multi-fidelity robust design optimisation using successive high-fidelity correction -- Multi-fidelity probabilistic optimisation using sparse high-fidelity information - Conclusion N2 - "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"-- UR - https://www.worldscientific.com/worldscibooks/10.1142/q0496#t=toc ER -