Vaishali
- Comparison of multiple surrogate models probing uncertainty in natural frequency of hybrid functionally graded sandwich cylindrical shells. Dans: Journal of Mechanics of Materials and Structures, v. 17, n. 2 (10 décembre 2022). (2022):
- On machine learning assisted data-driven bridging of FSDT and HOZT for high-fidelity uncertainty quantification of laminated composite and sandwich plates. Dans: Composite Structures, v. 304 (janvier 2023). (2023):
- Probing the multi-physical probabilistic dynamics of a novel functional class of hybrid composite shells. Dans: Composite Structures, v. 262 (avril 2021). (2021):
- Machine learning based stochastic dynamic analysis of functionally graded shells. Dans: Composite Structures, v. 237 (avril 2020). (2020):