{"title":"Nonlinear performance analysis and rapid prediction of out-of-plane deformation in graded honeycombs","authors":"","doi":"10.1016/j.tws.2024.112456","DOIUrl":null,"url":null,"abstract":"<div><p>Honeycomb structures, known for their excellent properties, are widely used in various advanced applications, including adaptive mirrors and soft wearable devices, due to their out-of-plane deformation capabilities. However, predicting the out-of-plane deformation of graded honeycombs remains challenging. A novel approach for rapidly predicting the out-of-plane deformation of graded honeycombs, considering their isotropic and nonlinear behavior, is presented in this study. Discrete material property spaces for seven honeycomb types were derived using a stiffness-updating nonlinear homogenization method and validated through digital image correlation (DIC) experiments. Prediction of nonlinear equivalent properties within two seconds was achieved by utilizing a hyperparameter optimization neural network (HONN). Graded honeycomb connection criteria (GHCC) were established to ensure performance stability. A rapid and accurate prediction method was enabled by the developed deformation-to-color mapping, which effectively bypasses costly numerical computations. Out-of-plane deformation is accurately forecasted by this approach, which also facilitates the transformation of flat surfaces into various shapes with distinct Gaussian curvatures, thereby opening new possibilities for large-scale deformable structures.</p></div>","PeriodicalId":49435,"journal":{"name":"Thin-Walled Structures","volume":null,"pages":null},"PeriodicalIF":5.7000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thin-Walled Structures","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263823124008978","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Honeycomb structures, known for their excellent properties, are widely used in various advanced applications, including adaptive mirrors and soft wearable devices, due to their out-of-plane deformation capabilities. However, predicting the out-of-plane deformation of graded honeycombs remains challenging. A novel approach for rapidly predicting the out-of-plane deformation of graded honeycombs, considering their isotropic and nonlinear behavior, is presented in this study. Discrete material property spaces for seven honeycomb types were derived using a stiffness-updating nonlinear homogenization method and validated through digital image correlation (DIC) experiments. Prediction of nonlinear equivalent properties within two seconds was achieved by utilizing a hyperparameter optimization neural network (HONN). Graded honeycomb connection criteria (GHCC) were established to ensure performance stability. A rapid and accurate prediction method was enabled by the developed deformation-to-color mapping, which effectively bypasses costly numerical computations. Out-of-plane deformation is accurately forecasted by this approach, which also facilitates the transformation of flat surfaces into various shapes with distinct Gaussian curvatures, thereby opening new possibilities for large-scale deformable structures.
期刊介绍:
Thin-walled structures comprises an important and growing proportion of engineering construction with areas of application becoming increasingly diverse, ranging from aircraft, bridges, ships and oil rigs to storage vessels, industrial buildings and warehouses.
Many factors, including cost and weight economy, new materials and processes and the growth of powerful methods of analysis have contributed to this growth, and led to the need for a journal which concentrates specifically on structures in which problems arise due to the thinness of the walls. This field includes cold– formed sections, plate and shell structures, reinforced plastics structures and aluminium structures, and is of importance in many branches of engineering.
The primary criterion for consideration of papers in Thin–Walled Structures is that they must be concerned with thin–walled structures or the basic problems inherent in thin–walled structures. Provided this criterion is satisfied no restriction is placed on the type of construction, material or field of application. Papers on theory, experiment, design, etc., are published and it is expected that many papers will contain aspects of all three.