Integrated Buckling Analysis and Manufacturable Design of Variable Stiffness Composite Panels for High-Performance Structures
| dc.contributor.author | Agarwal, Mayank | en |
| dc.contributor.committeechair | Kapania, Rakesh K. | en |
| dc.contributor.committeemember | Acar, Pinar | en |
| dc.contributor.committeemember | Fu, Yao | en |
| dc.contributor.committeemember | Seidel, Gary D. | en |
| dc.contributor.department | Aerospace and Ocean Engineering | en |
| dc.date.accessioned | 2026-05-13T08:01:30Z | en |
| dc.date.available | 2026-05-13T08:01:30Z | en |
| dc.date.issued | 2026-05-12 | en |
| dc.description.abstract | Variable stiffness composite panels, including tow-steered laminates and functionally graded materials (FGMs), offer significant advantages over traditional uniform plates by enabling localized load path redistribution and extreme environment multi-functionality. Integrating curvilinear stiffeners into these panels further enhances structural stability against buckling with minimal weight penalties. These highly tailored structural components are vital for advanced aerospace applications like wingboxes and fuselages. However, the design and analysis of these complex high-performance structures remain computationally challenging, particularly when ensuring the manufacturability of the final design. To address these challenges, this research first presents a mesh-independent buckling analysis solver for curvilinearly stiffened FGM plates utilizing the Ritz method with orthogonal Jacobi polynomials. This approach eliminates the need for computationally expensive re-meshing during shape and layout optimization studies. Building on this, the study introduces a comprehensive integrated optimization framework for curvilinearly stiffened tow-steered panels. This framework simultaneously designs tow paths and stiffener layouts while rigorously enforcing physical manufacturing constraints, including fiber curvature, and gaps, and overlaps. Finally, two distinct methodologies for tow-steered laminate optimization are evaluated and compared: (1) direct fiber angle parameterization using Simulia/Isight and Abaqus/Standard, which facilitates the explicit enforcement of ply-level strength and manufacturing limits, and (2) a bi-level lamination parameter approach with analytical gradients, using an open source parallel finite-element code Toolkit for the Analysis of Composite Structures (TACS) and an open-source high-performance computing platform for multidisciplinary optimization OpenMDAO, that convexifies the design space for highly efficient computational evaluations. Furthermore, the bi-level framework is extended to perform simultaneous structural topology and variable angle tow-path optimization, concurrently generating the optimal macroscopic material layout and the localized variable stiffness distribution. Ultimately, this work provides a scalable, robust methodology for designing lightweight, easy to manufacture, and highly tailored aerospace composite structures. | en |
| dc.description.abstractgeneral | Modern airplanes and spacecraft rely heavily on advanced, lightweight materials such as carbon fiber composites, to operate efficiently and safely. Instead of manufacturing flat, uniform panels, engineers now have the tools to customize these materials by "steering" the carbon fibers in specific directions and adding strategically curved support beams. This level of customization allows an airplane's wing or main body to be exceptionally strong exactly where it experiences the most stress, without adding any unnecessary weight. However, designing such highly tailored structures is an incredibly complex task that requires large amounts of computing power to find the best possible design. Furthermore, even if the design software finds a mathematically "perfect" structural design, that blueprint might be too complicated or physically impossible for factory machines to actually build. To solve this problem, this research develops a suite of automated computational tools that act as a bridge between theoretical engineering and real-world manufacturing. First, a novel, more efficient calculation tool was developed that allows to rapidly test how much load different curved support shapes can withstand before failing. Next, an automated design framework was created that handles the entire design problem at once, simultaneously figuring out the absolute best pattern for the fibers and the optimal layout for the support beams. Most importantly, this software is developed to automatically penalize and reject any design that would cause manufacturing defects such as overlapping materials or void regions with no material, ensuring the final blueprint is easy to build. Thus, this work provides the aerospace industry with a powerful new framework that successfully combines complex mathematics, structural engineering, and practical manufacturing limitations, for designing next-generation aircraft and spacecraft components that are significantly lighter, stronger, more fuel-efficient, while also being easy to build. | en |
| dc.description.degree | Doctor of Philosophy | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:46558 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/143089 | en |
| dc.language.iso | en | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Functionally-Graded Material | en |
| dc.subject | Curvilinear Stiffeners | en |
| dc.subject | Ritz Method | en |
| dc.subject | Variable Angle Tow | en |
| dc.subject | Manufacturing Constraints | en |
| dc.title | Integrated Buckling Analysis and Manufacturable Design of Variable Stiffness Composite Panels for High-Performance Structures | en |
| dc.type | Dissertation | en |
| thesis.degree.discipline | Aerospace Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |
Files
Original bundle
1 - 1 of 1