{"title":"Optimization of hoop ribs for maximum compressive buckling strength in lattice structure adapter using a neural network model","authors":"Amir Kaveh, Jafar Eskandari Jam, Pouriya Barghamadi, Amirreza Ardebili, Mahdi Jafari","doi":"10.1007/s42401-024-00303-3","DOIUrl":null,"url":null,"abstract":"<div><p>Composite lattice anisogrid adapters are highly favored in space rocketry design, serving as crucial interface structures between rocket stages or between the payload and its supporting structure. Their unique structural configuration allows them to withstand significant weight loads without succumbing to buckling. However, optimizing their design parameters could further enhance their strength and efficiency. Particularly, reinforcing the lower hoop ribs in a conical lattice adapter can substantially enhance its strength under axial compressive loads, thus preventing buckling. In this study, we begin by presenting a finite-element model of a lattice adapter featuring helical ribs that follow geodesic paths. To validate the model's accuracy, experimental prototypes and finite-element models from previous research are utilized. Subsequently, a neural network model is trained using the dataset generated from finite-element analysis results. This neural network model aims to predict, explore, and optimize the impact of lower hoop ribs' thicknesses on the critical axial buckling load of the adapter. The analysis ultimately confirms that an adapter designed with optimized ribs demonstrates a remarkable 51% increase in load capacity before buckling compared to an adapter designed with uniform ribs. This underscores the significance of optimizing design parameters for enhancing structural performance in space rocketry applications.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":36309,"journal":{"name":"Aerospace Systems","volume":"8 3","pages":"545 - 556"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerospace Systems","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s42401-024-00303-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Composite lattice anisogrid adapters are highly favored in space rocketry design, serving as crucial interface structures between rocket stages or between the payload and its supporting structure. Their unique structural configuration allows them to withstand significant weight loads without succumbing to buckling. However, optimizing their design parameters could further enhance their strength and efficiency. Particularly, reinforcing the lower hoop ribs in a conical lattice adapter can substantially enhance its strength under axial compressive loads, thus preventing buckling. In this study, we begin by presenting a finite-element model of a lattice adapter featuring helical ribs that follow geodesic paths. To validate the model's accuracy, experimental prototypes and finite-element models from previous research are utilized. Subsequently, a neural network model is trained using the dataset generated from finite-element analysis results. This neural network model aims to predict, explore, and optimize the impact of lower hoop ribs' thicknesses on the critical axial buckling load of the adapter. The analysis ultimately confirms that an adapter designed with optimized ribs demonstrates a remarkable 51% increase in load capacity before buckling compared to an adapter designed with uniform ribs. This underscores the significance of optimizing design parameters for enhancing structural performance in space rocketry applications.
期刊介绍:
Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering.
Potential topics include, but are not limited to:
Trans-space vehicle systems design and integration
Air vehicle systems
Space vehicle systems
Near-space vehicle systems
Aerospace robotics and unmanned system
Communication, navigation and surveillance
Aerodynamics and aircraft design
Dynamics and control
Aerospace propulsion
Avionics system
Opto-electronic system
Air traffic management
Earth observation
Deep space exploration
Bionic micro-aircraft/spacecraft
Intelligent sensing and Information fusion