Lightweight design of variable-angle filament-wound cylinders combining Kriging-based metamodels with particle swarm optimization
نویسندگان
چکیده
Abstract Variable-angle filament-wound (VAFW) cylinders are herein optimized for minimum mass under manufacturing constraints, and various design loads. A parameterization based on a second-order polynomial variation of the tow winding angle along axial direction is utilized to explore nonlinear steering-thickness dependency in VAFW structures, whereby thickness becomes function filament steering angle. Particle swarm optimization coupled with three Kriging-based metamodels used find optimum designs. single-curvature Bogner–Fox–Schmit–Castro finite element formulated accurately efficiently represent variable stiffness properties shells, verifications performed using general purpose plate element. Alongside main studies, vast analysis space metamodels, showing gap buckling strength that confirmed by genetic algorithm optimizations. Extreme lightweight while buckling-resistant designs reached, non-conventional layouts thanks high degree build-up tailoring.
منابع مشابه
OPTIMAL DESIGN OF ARCH DAMS BY COMBINING PARTICLE SWARM OPTIMIZATION AND GROUP METHOD OF DATA HANDLING
Optimization techniques can be efficiently utilized to achieve an optimal shape for arch dams. This optimal design can consider the conditions of the economy and safety simultaneously. The main aim is to present an applicable and practical model and suggest an algorithm for optimization of concrete arch dams to enhance their seismic performance. To achieve this purpose, a preliminary optimizati...
متن کاملRELIABILITY-BASED DESIGN OPTIMIZATION OF COMPLEX FUNCTIONS USING SELF-ADAPTIVE PARTICLE SWARM OPTIMIZATION METHOD
A Reliability-Based Design Optimization (RBDO) framework is presented that accounts for stochastic variations in structural parameters and operating conditions. The reliability index calculation is itself an iterative process, potentially employing an optimization technique to find the shortest distance from the origin to the limit-state boundary in a standard normal space. Monte Carlo simulati...
متن کاملA Particle Swarm Optimization Algorithm for Mixed-Variable Nonlinear Problems
Many engineering design problems involve a combination of both continuous anddiscrete variables. However, the number of studies scarcely exceeds a few on mixed-variableproblems. In this research Particle Swarm Optimization (PSO) algorithm is employed to solve mixedvariablenonlinear problems. PSO is an efficient method of dealing with nonlinear and non-convexoptimization problems. In this paper,...
متن کاملoptimal design of arch dams by combining particle swarm optimization and group method of data handling
optimization techniques can be efficiently utilized to achieve an optimal shape for arch dams. this optimal design can consider the conditions of the economy and safety simultaneously. the main aim is to present an applicable and practical model and suggest an algorithm for optimization of concrete arch dams to enhance their seismic performance. to achieve this purpose, a preliminary optimizati...
متن کاملRobust Simulation-optimization Methods Using Kriging Metamodels
Acknowledgements Now that I become closer and closer to the end of this adventure, I would like to deeply thank some people who helped me — in different ways and at different stages of my PhD — to achieve this goal. First of all, I want to thank my advisors: Carlo Meloni, for having introduced me to the fascinating world of research, for his being always so supportive to me, and for his willing...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Structural and Multidisciplinary Optimization
سال: 2022
ISSN: ['1615-1488', '1615-147X']
DOI: https://doi.org/10.1007/s00158-022-03227-8