Evgenia Plaka, Stephen P. Jones, Brett A. Bednarcyk, Evan J. Pineda, Richard Li, Marianna Maiaru
{"title":"VERIFICATION AND VALIDATION OF A RAPID DESIGN TOOL FOR THE ANALYSIS OF THE COMPOSITE Y-JOINT OF THE D8 DOUBLE-BUBBLE AIRCRAFT","authors":"Evgenia Plaka, Stephen P. Jones, Brett A. Bednarcyk, Evan J. Pineda, Richard Li, Marianna Maiaru","doi":"10.1615/intjmultcompeng.2023047801","DOIUrl":null,"url":null,"abstract":"Polymer composite joints are critical aerospace components for reinforcing lightweight structures and achieving high eco-efficiency transportation standards. Optimizing complex structural joints is an iterative process. Fast and reliable numerical approaches are needed to overcome the runtime limitations of high-fidelity finite element (FE) modeling. This work proposes a computationally efficient approach based on the design tool, HyperX. Verification against FE models and experimental validation are presented for the composite Y-joint in the D8 double-bubble fuselage. Results show that the failure load of the Y-joint is predicted within 10% of the experimental failure load recorded. Two parametric studies are performed to study the effects of the curvature of the joint (110-160 deg) and the skin thickness (16, 24, and 32 ply) in the failure load predictions using a stress-based failure criterion. The maximum failure load occurred for a Y-joint with 130 deg curvature. The 32-ply skin Y-joint was predicted to have the highest failure load. Results prove the applicability of rapid joint optimization analysis for faster, computationally efficient design.","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"3 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Multiscale Computational Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1615/intjmultcompeng.2023047801","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Polymer composite joints are critical aerospace components for reinforcing lightweight structures and achieving high eco-efficiency transportation standards. Optimizing complex structural joints is an iterative process. Fast and reliable numerical approaches are needed to overcome the runtime limitations of high-fidelity finite element (FE) modeling. This work proposes a computationally efficient approach based on the design tool, HyperX. Verification against FE models and experimental validation are presented for the composite Y-joint in the D8 double-bubble fuselage. Results show that the failure load of the Y-joint is predicted within 10% of the experimental failure load recorded. Two parametric studies are performed to study the effects of the curvature of the joint (110-160 deg) and the skin thickness (16, 24, and 32 ply) in the failure load predictions using a stress-based failure criterion. The maximum failure load occurred for a Y-joint with 130 deg curvature. The 32-ply skin Y-joint was predicted to have the highest failure load. Results prove the applicability of rapid joint optimization analysis for faster, computationally efficient design.
期刊介绍:
The aim of the journal is to advance the research and practice in diverse areas of Multiscale Computational Science and Engineering. The journal will publish original papers and educational articles of general value to the field that will bridge the gap between modeling, simulation and design of products based on multiscale principles. The scope of the journal includes papers concerned with bridging of physical scales, ranging from the atomic level to full scale products and problems involving multiple physical processes interacting at multiple spatial and temporal scales. The emerging areas of computational nanotechnology and computational biotechnology and computational energy sciences are of particular interest to the journal. The journal is intended to be of interest and use to researchers and practitioners in academic, governmental and industrial communities.