# Interpretable Machine-Learning-Assisted Stochastic Buckling Assessment of Cylindrical Shells with Random Geometric Imperfections

_Computer Modeling in Engineering & Sciences · Yan-Ping Liang, Zhiqiang Wan · 2026_

Canonical: https://diginpl.com/books/paper-cmes-2026-088012
Last updated: 2026-11-02

## Quick facts

- **Author:** Yan-Ping Liang; Zhiqiang Wan ([Crossref](https://doi.org/10.32604/cmes.2026.088012))
- **Published:** 2026 ([Crossref](https://doi.org/10.32604/cmes.2026.088012))
- **Publisher:** Tech Science Press ([Crossref](https://doi.org/10.32604/cmes.2026.088012))
- **Journal:** Computer Modeling in Engineering & Sciences ([Crossref](https://doi.org/10.32604/cmes.2026.088012))
- **DOI:** 10.32604/cmes.2026.088012 ([Crossref](https://doi.org/10.32604/cmes.2026.088012))
- **Licence:** https://doi.org/10.32604/TSP-CROSSMARKPOLICY ([Crossref](https://doi.org/10.32604/cmes.2026.088012))

## Questions

**Who wrote Interpretable Machine-Learning-Assisted Stochastic Buckling Assessment of Cylindrical Shells with Random Geometric Imperfections?**  
Interpretable Machine-Learning-Assisted Stochastic Buckling Assessment of Cylindrical Shells with Random Geometric Imperfections was written by Yan-Ping Liang, Zhiqiang Wan.

**When was Interpretable Machine-Learning-Assisted Stochastic Buckling Assessment of Cylindrical Shells with Random Geometric Imperfections first published?**  
Interpretable Machine-Learning-Assisted Stochastic Buckling Assessment of Cylindrical Shells with Random Geometric Imperfections was first published in 2026.

## Sources

- [Publisher record (DOI, via Crossref)](https://doi.org/10.32604/cmes.2026.088012)

## Licence and attribution

Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmes.2026.088012.

## Cite this page

"Interpretable Machine-Learning-Assisted Stochastic Buckling Assessment of Cylindrical Shells with Random Geometric Imperfections". DigiNepal. Last updated 2 November 2026. https://diginpl.com/books/paper-cmes-2026-088012. Retrieved 14 November 2026.