Paper information

Paper code

IAC-26,C2,IP,4,x107655

Room

IP Area

Title

Deep Learning-Based Performance Prediction of Cylindrical Lattice Structures for Launch Vehicles: An Automated Design Framework for Buckling and Frequency Analysis

abstract

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Session

IP. Interactive Presentations - IAF MATERIALS AND STRUCTURES SYMPOSIUM

symposium

C2. IAF MATERIALS AND STRUCTURES SYMPOSIUM

congress

IAC-26

Type of presentation

interactive

Main author

Mrs. Pınar Ece Opan, Istanbul Technical University, Türkiye

Co-authors

Dr. Zana Eren, Kocaeli University, Türkiye;

Prof. Zahit Mecitoglu, Istanbul Technical University, Türkiye;