@Article{cmes.2026.088525,
AUTHOR = {Yan-Ping Liang, Shixue Liang, Xiaodan Ren},
TITLE = {Effect of Euclidean and Geodesic Distance Models on Stochastic Buckling of Imperfect Cylindrical Shells},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/CMES/online/detail/28340},
ISSN = {1526-1506},
ABSTRACT = {Random geometric imperfections strongly influence the buckling resistance of thin cylindrical shells. In random field imperfection modeling, Euclidean and geodesic distances may generate different spatial correlation structures on closed cylindrical shells. This study examines whether such distance model differences are transmitted to nonlinear stochastic buckling response. A paired stochastic finite element framework is developed, in which Euclidean- and geodesic-distance imperfection fields are generated from common nodal white noise inputs and rescaled to the same prescribed root-mean-square (RMS) amplitude. Eight normalized correlation lengths are considered, with 200 paired samples for each case, and the corresponding critical buckling loads are evaluated. The results show that the field-level discrepancy increases with correlation length, but its transmission to buckling response is not proportional. For the present benchmark, the Euclidean distance effect is very small at short correlation lengths but becomes increasingly evident as the correlation length approaches the shell radius scale, indicating a correlation scale-dependent trend rather than a universal acceptability threshold.},
DOI = {10.32604/cmes.2026.088525}
}