335
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Three-scale modeling and probabilistic progressive damage analysis of woven composite laminates

, &
Pages 602-618 | Received 27 May 2022, Accepted 21 Aug 2022, Published online: 03 Sep 2022
 

Abstract

This article investigates the three-scale mechanical response and damage progression of woven composite laminates by probabilistic progressive damage analysis. Micro-scale, meso-scale, and macro-scale stochastic finite element models of woven composite laminates were established to consider the random fiber distribution in yarns and stochastic nature of material properties. Based on Monte-Carlo method, three-scale probabilistic progressive damage model was proposed to predict damage progression and probabilistic distribution of strengths for woven composite laminates. Good agreement between the predictions of elastic properties and strengths and experimental results has been achieved, demonstrating the validity of proposed three-scale probabilistic progressive damage model.

Disclosure statement

The authors report there are no competing interests to declare.

Additional information

Funding

This work was supported by the Fundamental Research Funds for the Central Universities of Civil Aviation University of China under Grant No. 3122021042 and Scientific Research Project of Tianjin Education Commission under Grant No. 2021KJ050.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.