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Parallel genetic algorithm implementation in multidisciplinary rotor blade design

Jongsoo Lee, Prabhat Hajela
1996 Journal of Aircraft  
, Troy, New York 12180 An adaptation of genetic algorithms as an optimization tool for large-scale multidisciplinary design problems is described.  ...  For the best design obtained in the decomposition-based approach, the optimal stiffness distribution of rotor blade box—beam is shown in Fig. 7.  ... 
doi:10.2514/3.47042 fatcat:kbi6ygkx2vayldmbbd3l4ygr6a

Multidisciplinary Design Optimization of a Deorbit Maneuver Considering Propulsion, TPS, and Trajectory

Amirhossein Adami, Mahdi Mortazavi, Mehran Nosratollahi
2015 International Journal of Computer Applications  
The purpose of this paper is to optimal design of deorbit parameters to minimize the thermal protection system mass and deorbit propellant mass using multidisciplinary design optimization technique.  ...  A suitable framework of Multidisciplinary design optimization (MDO) is developed. Then, the reentry mission is optimized according to the each discipline.  ...  The optimum designs of the deorbit mission are derived for single discipline and multidisciplinary disciplines optimization and they are compared in table-1.  ... 
doi:10.5120/20496-2109 fatcat:kkdhtadmpfa7zizku6xv5e4quy

Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies

Loïc Brevault, Mathieu Balesdent, Sébastien Defoort
2017 Concurrent Engineering - Research and Applications  
Multidisciplinary Design Optimization (MDO) methodologies is a collection of engineering methodologies to optimize systems modeled as a set of coupled disciplinary analyses and is a key enabler to extend  ...  MDO with transversal decomposition of the design process, MDO under uncertainty) with applications to launch vehicle design to illustrate the benefices of taking into account the coupling effects between  ...  A patternsearch algorithm (Audet et al., 2002) is used for the system level optimizer.  ... 
doi:10.1177/1063293x17737131 fatcat:3wc4ig35cbc7jpc7fkffcewmum

MULTIDISCIPLINARY DESIGN OPTIMIZATION OF AEROSPACE SYSTEMS

Kamran Behdinan, Ruben E. Perez, Hugh T. Liu
2011 Proceedings of the Canadian Engineering Education Association (CEEA)  
Illustrative comparisons are made for analytic functions and a supersonic business jet design case study.  ...  Results show the promising features of the proposed evaluation metrics to define a standardized guideline when dealing with multidisciplinary optimization formulations which can be applied to aerospace  ...  to obtain an optimal multidisciplinary feasible design.  ... 
doi:10.24908/pceea.v0i0.3914 fatcat:wgjmp7mbfjfwnosfhf2vl2y2wa

Distributed Multi-objective Multidisciplinary Design Optimization Algorithms [article]

Amir Noori
2012 arXiv   pre-print
This work proposes multi-agent systems setting for concurrent engineering system design optimization and gradually paves the way towards examining graph theoretic constructs in the context of multidisciplinary  ...  The flow of the algorithm can be described as follow; generated estimates of the optimal (shared design) variables are exchanged locally with neighbor subspaces and then updated by computing a weighted  ...  of multidisciplinary design optimization problem.  ... 
arXiv:1208.2434v3 fatcat:f6jdstam75dw3hdp7za3btgsjm

Complex System Optimization Using Biogeography-Based Optimization

Dawei Du, Dan Simon
2013 Mathematical Problems in Engineering  
Based on comparisons with three complex system optimization algorithms (multidisciplinary feasible (MDF), individual discipline feasible (IDF), and collaborative optimization (CO)) on four real-world benchmark  ...  In this paper, a new algorithm adapted from biogeography-based optimization (BBO) is introduced for complex system optimization.  ...  The comments of an anonymous reviewer were instrumental in improving this paper.  ... 
doi:10.1155/2013/456232 fatcat:47quj4gg7fbanoyoi6d3wrhsga

A micro-accelerometer MDO benchmark problem

S. Tosserams, L. F. P. Etman, J. E. Rooda
2009 Structural And Multidisciplinary Optimization  
Four different problem decompositions are suggested for four design cases, each of which can be used for testing MDO coordination algorithms.  ...  Many optimization and coordination methods for multidisciplinary design optimization (MDO) have been proposed in the last three decades.  ...  for their valuable suggestions.  ... 
doi:10.1007/s00158-009-0422-0 fatcat:gu5agim4mfdrdip2nvm4knf2le

System-of-Systems Inspired Aircraft Sizing and Airline Resource Allocation via Decomposition

Muharrem Mane, William A. Crossley, Antonius Nusawardhana
2007 Journal of Aircraft  
The hypothesis forwarded here is that decomposition approaches like those used for multidisciplinary design optimization (MDO), which are quite successful for the design of many engineering systems, may  ...  The multidisciplinary design optimization-motivated decomposition approach appears to have promise for the allocation of variable resources challenge presented by many system-of-systems design problems  ... 
doi:10.2514/1.26333 fatcat:a7dgjbib6vg3tmtnch3ppngi44

Reduced-Order Model with an Artificial Neural Network for Aerostructural Design Optimization

Kyung Hyun Park, Sang Ook Jun, Sung Min Baek, Maeng Hyo Cho, Kwan Jung Yee, Dong Ho Lee
2013 Journal of Aircraft  
Therefore, more research is required to perform the multidisciplinary design optimization using ROM.  ...  Table 9 Comparison of the optimization results Design variables Objective Constraints Model Sweep, deg Span, ft__ Spar, ft(x10~?)  ... 
doi:10.2514/1.c032062 fatcat:tntvglnzbrahpg2bqargfcncdq

Hybrid Optimization Framework with Proper-Orthogonal-Decomposition-Based Order Reduction and Design-Space Evolution Scheme

Satyajit S. Ghoman, Zhicun Wang, P. C. Chen, Rakesh K. Kapania
2013 Journal of Aircraft  
Conclusions By combining the advantages of the proper-orthogonal- decomposition (POD)-based order-reduction technique and the evolutionary algorithm, a robust multidisciplinary optimization framework can  ...  employs a proper- orthogonal-decomposition-based design-space order-reduction scheme combined with the evolutionary-algorithm technique.  ... 
doi:10.2514/1.c032151 fatcat:laczxqfmk5fjjferukabo5tei4

Application of advanced multidisciplinary analysis and optimization methods to vehicle design synthesis

ROBERT D. CONSOLI, JAROSLAW SOBIESZCZANSKI-SOBIESKI
1992 Journal of Aircraft  
Recent developments in system sensitivity analysis as applied to complex nonhierarchic multidisciplinary design optimization problems enable the decomposition of these complex interactions into subprocesses  ...  The optimization algorithm then predicts new values for the design variables that improve the objective function and promote constraint satisfaction.  ... 
doi:10.2514/3.46250 fatcat:jbnlnsfyhng57ik5u7btnhodvy

Pattern Search Algorithm for Blackboard-Based Multidisciplinary Design Optimization Frameworks

Nickolay Jelev, Andy Keane, Carren Holden
2018 Journal of Aircraft  
They also serve as a means for comparisons with two established Multidisciplinary Design Optimisation architectures.  ...  Two examples, one of which is for conceptual transonic wing design, demonstrate the merit of the newly developed rule base, database and visualisation modules.  ...  The Multidisciplinary Pattern Search Rules We begin with a description of the Multidisciplinary Pattern Search, whose primary role is to automatically evaluate a number of locally optimal designs and set  ... 
doi:10.2514/1.c034897 fatcat:g7vogwb2cvapzaqbtfuh7cyfgu

Developing a Multi-objective Multi-Disciplinary Robust Design Optimization Framework

M. N. P. Meibody, H. Naseh, F. Ommi
2021 Scientia Iranica. International Journal of Science and Technology  
This study aims to provide an e cient Multi-Objective Multidisciplinary Robust Design Optimization (MOMRDO) framework.  ...  The results showed that this method is a fast and e ective method for the multi-objective optimization design of complex systems, and it can also be used in other engineering applications.  ...  This feature became a source of inspiration for the concept of Uncertain Multidisciplinary Robust Design Optimization (UM-RDO) in the optimal design of complex systems.  ... 
doi:10.24200/sci.2021.55306.4159 fatcat:zlcb4eco4bfplat6sj7fiuxybq

Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes

Andrew B. Lambe, Joaquim R. R. A. Martins
2012 Structural And Multidisciplinary Optimization  
While numerous architectures exist for solving multidisciplinary design optimization (MDO) problems, there is currently no standard way of describing these architectures.  ...  This paper presents the extended design structure matrix (XDSM), a new diagram for visualizing MDO processes.  ...  as well for their help in verifying the XDSMs for the various MDO architectures.  ... 
doi:10.1007/s00158-012-0763-y fatcat:ozwzlemiqvecnemsnt6kb7qavy

Overview of Sensitivity Analysis and Shape Optimization for Complex Aerodynamic Configurations

James C. Newman III, Arthur C. Taylor III, Richard W. Barnwell, Perry A. Newman, Gene J.-W. Hou
1999 Journal of Aircraft  
., “Preparation of Advanced CFD Codes for Use in Sensitivity Analyses and Multidisciplinary Design Optimization,”’ Optimal Design and Control, edited by J. Borggaard, J. Burkardt, M.  ...  Various examples of shape - design sensitivity analysis for unstructured-grid CFD algorithms are demonstrated for different formulations of the sensitivity equations.  ... 
doi:10.2514/2.2416 fatcat:cbhvip5gcbca7fulzqk4oriwza
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