Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
817103 | Composites Part B: Engineering | 2015 | 34 Pages |
Abstract
The propagation of thermal uncertainty in composite structures has significant computational challenges. This paper presents the thermal, ply-level and material uncertainty propagation in frequency responses of laminated composite plates by employing surrogate model which is capable of dealing with both correlated and uncorrelated input parameters. The present approach introduces the generalized high dimensional model representation (GHDMR) wherein diffeomorphic modulation under observable response preserving homotopy (D-MORPH) regression is utilized to ensure the hierarchical orthogonality of high dimensional model representation component functions. The stochastic range of thermal field includes elevated temperatures up to 375Â K and sub-zero temperatures up to cryogenic range of 125Â K. Statistical analysis of the first three natural frequencies is presented to illustrate the results and its performance.
Related Topics
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Authors
S. Dey, T. Mukhopadhyay, S.K. Sahu, G. Li, H. Rabitz, S. Adhikari,