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Neural network-based DPIM for uncertainty quantification of imperfect cylindrical stiffened shells with multiple random parameters

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Date of Publication:2024-09-05

Journal:ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS

Volume:166

ISSN No.:0955-7997

Key Words:BUCKLING LOAD; DESIGN; KNOCKDOWN FACTORS; MODELS; OPTIMIZATION; RELIABILITY

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