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of 47
pro vyhledávání: '"Jay D. Martin"'
Autor:
Nicolás F. Soria Zurita, Corey Balon, Kenneth Kotovsky, Jonathan Cagan, Jay D. Martin, Christopher McComb, Joshua T. Gyory
Publikováno v:
Journal of Mechanical Design. 144
Managing the design process of teams has been shown to considerably improve problem-solving behaviors and resulting final outcomes. Automating this activity presents significant opportunities in delivering interventions that dynamically adapt to the
Autor:
Dave Lowe, Eric Tang, Carl Willman, Michael Pastula, S. Tobias Junker, Hossein Ghezel-Ayagh, Jonathan A. Peters, Jay D. Martin
Publikováno v:
ECS Transactions. 17:23-29
A hybrid propulsion system for torpedo propulsion applications was developed. The hybrid system utilizes a solid oxide fuel cell (SOFC) to provide low power propulsion and hotel loads supplemented by a high power turbine for high speed pursuit, with
Autor:
Dave Lowe, Timothy F. Miller, Jonathan A. Peters, Sven T. Junker, Jay D. Martin, Hossein Ghezel-Ayagh
Publikováno v:
ECS Transactions. 12:707-711
The development of fuel cell based propulsion technologies is an area of great interest for undersea applications. Under an Office of Naval Research (ONR) supported STTR project, FuelCell Energy (FCE), Barber Nichols, Inc. (BNI), and the Applied Rese
Publikováno v:
Structural and Multidisciplinary Optimization. 32:287-298
Many optimization methods for simulation-based design rely on the sequential use of metamodels to reduce the associated computational burden. In particular, kriging models are frequently used in variable fidelity optimization. Nevertheless, such meth
Autor:
Jay D. Martin, Timothy W. Simpson
Publikováno v:
Journal of Mechanical Design. 128:959-968
Current design decisions must be made while considering uncertainty in both models of the design and inputs to the design. In most cases, high fidelity models are used with the assumption that the resulting model uncertainties are insignificant to th
Autor:
Jay D. Martin
Publikováno v:
52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference.
Sensitivity analysis is used in complex design by assisting a decision-maker to identify the most important parameters to control and manage during the design process. This sensitivity analysis can achieved by quantifying the sources of observed vari
Autor:
Jay D. Martin
Publikováno v:
Volume 5: 37th Design Automation Conference, Parts A and B.
The design of most modern systems requires the tight integration of multiple disciplines. In practice, these multiple disciplines are often optimized independently, given only fixed values or targets for their interactions with other disciplines. The
Publikováno v:
13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference.
The effective use of trade space exploration requires the generation of a large number of feasible designs to permit investigation of the trade space to identify regions of interest and to understand the local tradeoffs that may exist within that reg
Autor:
Jay D. Martin
Publikováno v:
51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 18th AIAA/ASME/AHS Adaptive Structures Conference 12th.
Kriging models have proven useful in estimating complex and computationally expensive analyses. They are capable of interpolating a set of observations by quantifying both longer range variations with parametric trends and shorter range variations wi
Autor:
Jay D. Martin
Publikováno v:
Journal of Mechanical Design. 131
The details of a method to reduce the computational burden experienced while estimating the optimal model parameters for a Kriging model are presented. A Kriging model is a type of surrogate model that can be used to create a response surface based a