Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Two-level composite wing structural optimization using response surfaces
Date
2000-10-01
Author
Liu, B
Haftka, RT
Akgun, MA
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
213
views
0
downloads
Cite This
A two-level optimization procedure for composite wing design subject to strength and buckling constraints is presented. At wing-level design, continuous optimization of ply thicknesses with orientations of 0 degrees, 90 degrees, and +/-45 degrees is performed to minimize weight. At panel level, the number of plies of each orientation (rounded to integers) and inplane loads are specified, and a permutation genetic algorithm is used to optimize the stacking sequence in order to maximize the buckling load. The process is started by performing a large number of panel genetic optimizations for a range of loads and numbers of plies of each orientation. Next, a cubic polynomial response surface is fitted to the optimum buckling load as a function of the loads and numbers of plies of each orientation. The resulting response surface is used for the wing-level optimization. Rounding and manual adjustment are used to obtain the final design. The procedure is demonstrated using an example of a simple wing box design.
Subject Keywords
Control and Systems Engineering
,
Software
,
Control and Optimization
,
Computer Graphics and Computer-Aided Design
,
Computer Science Applications
URI
https://hdl.handle.net/11511/67289
Journal
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
DOI
https://doi.org/10.1007/s001580050140
Collections
Department of Aerospace Engineering, Article
Suggestions
OpenMETU
Core
Harmony search based algorithm for the optimum design of grillage systems to LRFD-AISC
Saka, M. P.; ERDAL, FERHAT (Springer Science and Business Media LLC, 2009-03-01)
Harmony search based optimum design method is presented for the grillage systems. This numerical technique imitates the musical performance process that takes place when a musician searches for a better state of harmony. Jazz improvisation seeks to find musically pleasing harmony similar to the optimum design process which seeks to find the optimum solution. The design algorithm considers the serviceability and ultimate strength constraints which are implemented from Load and Resistance Factor Design-Americ...
Systematic component-oriented development with axiomatic design
Toğay, Cengiz; Doğru, Ali Hikmet; Department of Computer Engineering (2008)
In this research, component oriented development is supported with design guidance by extending the Axiomatic Design Theory for component orientation, and utilizing domain engineering and ontology mechanisms. Guidance is offered in the form of suggesting missing components and discovering incompatibilities among the candidate elements of software development, corresponding to different phases such as requirement analysis, design, and implementation. A mature domain concept is developed suggesting the availa...
Tool allocation in flexible manufacturing systems with tool alternatives
Buyurgan, N; Saygin, C; Kilic, SE (Elsevier BV, 2004-08-01)
In this paper, a heuristic approach for tool selection in flexible manufacturing systems (FMS) is presented. The proposed approach utilizes the ratio of tool life over tool size (LIS) for tool selection and allocation. The proposed method selects tool types with high LIS ratios by considering tool alternatives for the operations assigned to each machine. The performance of the method is demonstrated in sample problems as static examples, as well as in a simulation study for further analysis. This study also...
Monte Carlo analysis of ridged waveguides with transformation media
Ozgun, Ozlem; Kuzuoğlu, Mustafa (Wiley, 2013-07-01)
A computational model is presented for Monte Carlo simulation of waveguides with ridges, by combining the principles of transformation electromagnetics and the finite methods (such as finite element or finite difference methods). The principle idea is to place a transformation medium around the ridge structure, so that a single and easy-to-generate mesh can be used for each realization of the Monte Carlo simulation. Hence, this approach leads to less computational resources. The technique is validated by me...
design and implementation of a two-axes linear positioning system for rapid prototyping applications
Yazıcıoğlu, Faruk; Söylemez, Erses; Department of Mechanical Engineering (2007)
In this study, a two axes linear positioning system for testing and applying different rapid prototyping techniques was designed and manufactured. A cable/ pulley mechanism is utilized in the system for transmitting motion from motors into linear motion. Use of a cable/ pulley mechanism overcomes the problems resulting from the utilization of conventional drive systems like ball screws and decreases the overall cost of the system. The carriage elements of both axes were designed and manufactured by using in...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Liu, R. Haftka, and M. Akgun, “Two-level composite wing structural optimization using response surfaces,”
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
, pp. 87–96, 2000, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67289.