INTERPRETABLE MACHINE LEARNING FOR GEOMETRICAL VARIABLE SENSITIVITY ANALYSIS: APPLICATION TO AXIALLY COMPRESSED CYLINDRICAL BUCKLING

<p align="justify"> For over a century of thin cylindrical shells buckling deterministic solution known has a diverge result to the experiment. The gap between classical buckling theory and experimental results drove the study to discover the reason behind this discrepancy. Furthe...

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Bibliographic Details
Main Author: Geluntung Wafi, Muhammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/75151
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Institution: Institut Teknologi Bandung
Language: Indonesia