19 Papers
6 Citations
Yu Sun is an academic researcher from Dalian University of Technology. The author has contributed to research in topics: Buckling & Engineering. The author has an hindex of 6, co-authored 8 publications.
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Papers
Imperfection-insensitive design of stiffened conical shells based on equivalent multiple perturbation load approach
TL;DR: In this paper, the effect of axial location of a dimple is examined by single perturbation load approach (SPLA), and worst multiple perturbations load approach is employed to find the lower bound of the collapse load of stiffened conical shells.
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Symplectic superposition method-based new analytic bending solutions of cylindrical shell panels
TL;DR: In this paper, the authors extended the up-to-date symplectic superposition method to bending of cylindrical panels, with focus on clamped panels and their variants, by introducing the problems into the Hamiltonian system (in physics) and the symplectic space (in mathematics).
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Improved knockdown factors for composite cylindrical shells with delamination and geometric imperfections
TL;DR: In this article, numerical studies of buckling response for composite cylindrical shell with geometric imperfections and embedded delamination imperfections are performed to predict the lower-bound buckling loads.
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Fast buckling load numerical prediction method for imperfect shells under axial compression based on POD and vibration correlation technique
TL;DR: In this paper, a buckling load numerical prediction method for axially loaded cylindrical shells and conical shells under the clamped-clamped boundary condition is proposed, where the proper orthogonal decomposition (POD) method is integrated into VCT, and the POD-VCT is developed.
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Efficient buckling analysis and optimization method for rotationally periodic stiffened shells accelerated by Bloch wave method
TL;DR: In this article , an efficient buckling analysis and optimization method is proposed for rotationally periodic stiffened shells accelerated by Bloch wave method, which can reduce the total optimization time significantly and improve the buckling load by 94.5%.
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