Neural network-based DPIM for uncertainty quantification of imperfect cylindrical stiffened shells with multiple random parameters
Release Time:2024-12-06 Hits:
Date of Publication: 2024-09-05
Journal: ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
Volume: 166
ISSN: 0955-7997
Key Words: BUCKLING LOAD; DESIGN; KNOCKDOWN FACTORS; MODELS; OPTIMIZATION; RELIABILITY
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