
	Where results make sense

Topic: Multidisciplinary design optimization

Related Topics

The two fundamental theorems of welfare economics

Pareto efficiency

BTCP

Welfare economics

Boeing 787

Mirror

Paul Samuelson

Fentanyl

VIA Rail

Deadweight loss

Golden Gate Bridge

Street Fighter

Napoleon I of France

Palace of Versailles

International Federation of Competitive Eating

In the News (Sun 15 Nov 09)

Northern Trust

Marvin Harrison

Peter Chernin

Gary Locke

Match Play

Penelope Cruz

Mickey Rourke

AR Rahman

Danny Boyle

Hugh Jackman

	Multidisciplinary design optimization - Wikipedia, the free encyclopedia
		Multidisciplinary design optimization (MDO) is a field of engineering that uses optimization methods to solve design problems incorporating a number of disciplines.
		Design variables can be continuous (such as a wing span), discrete (such as the number of ribs in a wing), or boolean (such as whether to build a monoplane or a biplane).
		An example of a constraint in aircraft design is that the lift generated by a wing must be equal to the weight of the aircraft.
	en.wikipedia.org /wiki/Multidisciplinary_design_optimization (2016 words)

	MDO for Aircraft Design
		These difficulties with multidisciplinary design are particularly evident in the design of aerospace vehicles, a process that involves complex analyses, many disciplines, and a large design space.
		The actual design work is relegated to a central authority (the single optimizer) and the disciplines are not permitted to apply their design expertise to satisfy discipline-specific problems.
		The goal of the subspace optimization is to adjust the local design variables to minimize the difference between local variable values (both inputs to, and results from, the sub-problem analysis) and the target values passed to the subspace optimizer.
	aero.stanford.edu /Reports/MDO94.html (6173 words)

	AIAA Technical Committee
		Design of space launch vehicles is fraught with uncertainties as to the future mission parameters that may vary in a broad range or vehicle modifications that result in a stretched design.
		Common to optimization by both hierarchic and non-hierarchic decomposition is its reliance on the sensitivity analysis as a generic numerical method in engineering analysis [33] as well as a disciplinary method of the type described for structures in [34] and for aerodynamics in [35].
		The MDO methodology is well-suited to blend in the above analysis the traditional, performance-oriented design considerations with those posed by the remainder of the life cycle because it is generic and capable of including anything represented by a mathematical model, whether that model is derived rationally or established heuristically.
	endo.sandia.gov /AIAA_MDOTC/sponsored/aiaa_paper.html (13005 words)

	Multidisciplinary Design Optimization (Site not responding. Last check: 2007-10-09)
		The multidisciplinary design optimization (MDO) is an approach which facilitates the flow of information among disciplinary analysis routines including the optimization process.
		The preselected group of design variables are altered in a systematic fashion in arriving at an improved and ultimately an optimum design while satisfying all design constraints.
		MDO is not limited or unique to the aerospace applications, however, the overwhelming efforts in the past decade have been focused in that area.
	www.ae.msstate.edu /~masoud/Research/mdoref.html (253 words)

	Computational Crashworthiness
		Systematic numerical optimization techniques have been powerful and essential tools in design applications in various fields of engineering since the 1980’s due to the existence of modern high-speed computers.
		When finite element analysis is a part of the optimization routine, it uses a significant amount of computer time and space due to the huge number of iterations required to find an optimum design condition.
		Therefore, a special optimization scheme, which is an integration of the response surface methods and optimization techniques, has been suggested for large-scale analyses.
	www.eng.uab.edu /me/Faculty/jkim/MDO.htm (447 words)

	Multidisciplinary Optimization
		Multidisciplinary optimization is a way of finding the "best" solution, given an objective and a set of constraints, where the objective, the constraints, and the variables which affect the objective and constraints come from a knowledge base representing many disciplines.
		In design for competive advantage the objective would probably be cost, quality, or value, which is a combination of the two.
		From a qualitative perspective, multidisciplinary optimization is an emerging discipline which encompasses quality, cost, value, and genopersistation.
	spartan.ac.brocku.ca /~pscarbro/dfca1stmods/dfc/mo.html (553 words)

	Computational Methods in Aircraft Design
		Design information was mostly provided by the results of analytic theory combined with a fair amount of experimentation.
		In fact, the aircraft designer is often more interested in the interactions between the disciplines that the methods apply to (aerodynamics, structures, control, propulsion, mission profile) than in the individual methods themselves.
		However, in the detailed design phase, computational structural analysis often includes a very large percentage of the aircraft components and parts that will be subject to static or dynamic loads.
	adg.stanford.edu /aa241/design/compaero.html (2071 words)

	Reliability Analysis and Design Optimization of Fatigue Life of Vehicle Components (Site not responding. Last check: 2007-10-09)
		Due to increasing global competitive market, automotive designs are pushed to the limits of the design constraint boundaries using multidisciplinary design optimization techniques, leaving very little or no room for tolerances in modeling and simulation uncertainties and/or manufacturing imperfections.
		In RBDO, two design requirements are coupled for each probabilistic constraint: the performance requirement is described implicitly by the performance measure and the reliability requirement is approximated explicitly by the first- or second-order reliability index.
		The prescribed reliability requirement (such as six-sigma design) is assumed to be satisfied and the probabilistic performance measure (the value of the limit-state function) that satisfies this prescribed reliability requirement is used to measure the degree of the reliability constraint violation.
	www.ccad.uiowa.edu /projects/designopt/rbdo.html (639 words)

	Alternate Sampling Methods (Site not responding. Last check: 2007-10-09)
		Multidisciplinary Design Optimization (MDO) embodies a set of methodologies which provide a means of coordinating efforts and possibly conflicting recommendations of various disciplinary design teams with well-established analytical tools and expertise.
		Simulation based detailed design of complex systems, more specifically, aerospace and automotive systems, is increasingly becoming a distributed design activity involving multiple decision teams each with very high fidelity models and analysis tools as well as heterogeneous computing environments.
		These time consuming and expensive analyses are repeatedly invoked during optimization making the design exploration and multidisciplinary design optimization time very long, if not prohibitive.
	www.phoenix-int.com /AlternateSamplingMethods.htm (517 words)

	Research Focus: Optimization Group Explores New Areas in Multidisciplinary Design
		The mathematical and computational formulation of an MDO problem frequently involves the manipulation of conceivably millions of variables and constraints that are involved with the design.
		An important but generally neglected aspect of an MDO system is modeling the optimization criterion or objective itself, a process that becomes more complex in a multidisciplinary environment.
		Designers who are used to working with a single discipline have a simplified view of what constitutes an optimal design.
	www.crpc.rice.edu /newsletters/apr93/resfocus.html (810 words)

	MDO - Multidisciplinary Design Optimization (Site not responding. Last check: 2007-10-09)
		This input is called a design, and this design must be determined prior to the analysis.
		An optimization algorithm consists of minimizing or maximizing a design objective function (such as weight, cost, speed, etc.) by using design constants (such as unit cost, etc.) and determining the values of the design variables (such as dimensions, etc.) which will also satisfy the constraints (such as strength, displacement, etc.).
		MDO breaks the entire design problem into a system level and one or more discipline levels.
	www.et.byu.edu /~rick/mdo_at_byu (291 words)

	MIT OpenCourseWare \| Aeronautics and Astronautics \| 16.888 Multidisciplinary System Design Optimization, Spring 2004 \| ...
		Important factors which are not covered by traditional optimization courses include system characterization for multidisciplinary analysis and optimization, trade-off analysis, heuristic techniques and multiobjective optimization for the design of complex, multidisciplinary systems such as aircraft, spacecraft, automobiles, transportation systems and communication networks.
		A course in multidisciplinary design optimization naturally has to have access to an environment that is conducive to concurrent engineering (CE) and computational work.
		It should be stressed that the use of optimization is not intended to remove the human from the design loop.
	ocw.mit.edu /OcwWeb/Aeronautics-and-Astronautics/16-888Spring-2004/Syllabus/index.htm (2933 words)

	Framework for Interdisciplinary Design Optimization (FIDO)
		The Framework for Interdisciplinary Design Optimization (FIDO) project is developing a general computational environment for performing automated multidisciplinary design and optimization (MDO) using a heterogeneous cluster of networked computers.
		FIDO's integrated design and optimization approach avoids a common practice in the past where a new design is passed from one discipline to another with little communication as each designer tried independently to reach an optimum.
		There are three planform design variables (inboard leading-edge sweep angle, root chord length, and spanwise break location) and two structural design variables (inboard and outboard panel thicknesses).
	www.hq.nasa.gov /hpcc/reports/annrpt97/accomps/cas_larc/WW93.html (722 words)

	MODEL Lab, U at Buffalo, New York
		Modular components of the MDO Framework will include a Solution strategies module, where designers can investigate both conventional and alternative means for posing and subsequently solving the multidisciplinary design problem.
		The concept of a design space that a problem is confined to is often referred to and discussed in Multidisciplinary Design Optimization (MDO).
		If a designer or design team could actually see a graphical representation of this space, some costly optimization procedures possibly could be avoided, while achieving the same results as accurately and often times more efficiently.
	www.eng.buffalo.edu /Research/MODEL/research.html (1496 words)

	Aerospace Computing Lab - Projects
		The recent growth of MDO concept to exploit the synergism of mutually interacting phenomena among different disciplines increases the computational burden and complexity of the design process.
		Research is in the area of multidisciplinary optimization applied to aircraft design.
		The eventual aim of this research is to develop a robust design methodology for flexible membrane-like-structures under the influence of aerodynamic forces, with possible applications to the design of sails for short-boards or yachts.
	aero-comlab.stanford.edu /projects.html (1444 words)

	Multidisciplinary design optimization
		An analysis of such systems for a given set of values of the design variables requires users to iterate between individual disciplines until a proper convergence of the output states is reached.
		The engineer interested in the optimization of such problems might formulate a multidisciplinary design optimization (MDO) problem as a function of the output states of the SA.
		A feasible design is one that complies with the constraints imposed in Eq.
	www.nd.edu /~nddal/papers/victor/ic02/node3.html (296 words)

	Structural & Multidisciplinary Optimization Group - Home
		The Structural and Multidisciplinary Optimization Group in the Department of Mechanical and Aerospace Engineering at the University of Florida specializes in developing rational design procedures based on mathematical optimization techniques for use in structural and multidisciplinary design problems.
		Other research thrusts involve the development of approximation techniques, the development of genetic algorithms for composite panel design, the integration of local and global design, and the design sensitivity analysis for linear/nonlinear structural systems.
		Current applications include the design of a hydrogen tank for a reusable launch vehicle, the structural design of a blended wing-body transport, structural-acoustic design, and the structural design of a manufacturing process using a meshfree method.
	www.mae.ufl.edu /~mdo (208 words)

	New Architectures for MDO (Site not responding. Last check: 2007-10-09)
		Although a variety of methods for multidisciplinary analysis and design have been developed over the last two decades, many difficulties continue to discourage the use of integrated optimization of large-scale systems involving many analysis disciplines and perhaps hundreds of design variables.
		Despite advances in database management, planning tools, and improved theoretical foundations for multidisciplinary optimization, the process is complex and time consuming, and is only occasionally adopted by industry for which expediency often does not permit such an integrated approach.
		The goal of the present work is a substantial extension of multidisciplinary optimization tools and their integration into a new architecture that involves a tight coupling between optimization and analysis.
	aero.stanford.edu /MDO.html (386 words)

	Multidisciplinary Concurrent Design Optimization via the Internet (ResearchIndex)
		Abstract: A methodology is presented which uses commercial design and analysis software and the Internet to perform concurrent multidisciplinary optimization.
		The methodology provides a means to develop multidisciplinary designs without requiring that all software be accessible from the same local network.
		The procedures are amenable to design and development teams whose members, expertise and respective software are not geographically located together.
	citeseer.ist.psu.edu /451674.html (286 words)

	Multidisciplinary design optimization of film-cooled gas turbine blades
		Design optimization of a gas turbine blade geometry for effective film cooling toreduce the blade temperature has been done using a multiobjective optimization formulation.
		Shape optimization is performed using geometric parameters associated with film cooling and blade external shape.
		A quasi-three-dimensional Navier–Stokes solver for turbomachinery flows is used to solve for the flow field external to the blade with appropriate modifications to incorporate the effect of film cooling.
	www.hindawi.com /GetArticle.aspx?doi=10.1155/S1024123X99001015 (277 words)

	Rensselaer's School of Engineering
		His research topics included deployment and multibody dynamics, multidisciplinary design and modeling, structural optimization, and Control Structure Integrated Design, the latter of which he was a pioneer in the mid-1980s.
		He also led the development of a large simulation to study the dynamics stability, the structural behavior, and the control properties of the space system composed of the space station (SS), the space shuttle, and the translating SS mobile transporter.
		Achille Messac's current primary research interest is in the area of Multidisciplinary Design Optimization and in the development of the physical programming method in particular.
	www.eng.rpi.edu /soe/directory_faculty_details.cfm?facultyID=messac (347 words)

	Multidisciplinary Design Optimization (Site not responding. Last check: 2007-10-09)
		Interest in Multidisciplinary Design Optimization (MDO) has intensified in recent years.
		The practical application of optimization technology to achieve comprehensive design of systems requires the integration of analysis capabilities from many different disciplines.
		At CCAD, research in this area is focused on the development of proper formulation of multidisciplinary design problems, design sensitivity analysis, and optimization algorithms that incorporate structural analysis, dynamic simulation, thermal analysis, electro-magnetic behavior, acoustics, aerodynamics constitutive modeling, reliability analysis, and durability analysis.
	www.ccad.uiowa.edu /focus/designopt/mdo.html (104 words)

	[No title] (Site not responding. Last check: 2007-10-09)
		Design optimization of civil tiltrotor wing for improved aeroelastic characteristics
		Analysis and Design Optimization of Simply-Supported Rectangular Composite Sandwich Plates Under Axial and Biaxial Loading, M.S. Thesis by Robert H. Harris, December 1995.
		Design of a Wing box Structure for the Civil Tilt-Rotor Transport Aircraft, M.S. Thesis by S. Lee Brunson, August 1995.
	www.ae.msstate.edu /~masoud/Research/list.html (239 words)

	James T Allison - Optimal System Design - Research
		The individual disciplinary feasible (IDF) formulation for multidisciplinary design optimization possesses some interesting and previously unexplored properties that enable it to find superior system optimization solutions to traditional methods.
		Demonstrated the use of optimization and response surface methods to identify parameters for a high fidelity HUMMWV vehicle dynamics model.
		Performed extensive optimization studies on the design of the FMTV hydraulic hybrid truck for the U.S. Army.
	www-personal.umich.edu /~jtalliso/research.html (604 words)

Try your search on: Qwika (all wikis)