Relevant bibliographies by topics / Multidisciplinary design analysis and optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multidisciplinary design analysis and optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Multidisciplinary design analysis and optimization"

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Shin, Moon-Kyun, and Gyung-Jin Park. "Multidisciplinary design optimization based on independent subspaces." International Journal for Numerical Methods in Engineering 64, no. 5 (2005): 599–617. http://dx.doi.org/10.1002/nme.1380.

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Chu, X. Z., L. Gao, W. D. Li, H. B. Qiu, and X. Y. Shao. "An Uncertainty Analysis Approach to Multidisciplinary Design Optimization." Concurrent Engineering 17, no. 2 (2009): 121–28. http://dx.doi.org/10.1177/1063293x09105327.

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Vlahopoulos, N., and C. G. Hart. "A Multidisciplinary Design Optimization Approach to Relating Affordability and Performance in a Conceptual Submarine Design." Journal of Ship Production and Design 26, no. 04 (2010): 273–89. http://dx.doi.org/10.5957/jspd.2010.26.4.273.

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A multidisciplinary design optimization (MDO) framework is used for a conceptual submarine design study. Four discipline-level performances—internal deck area, powering, maneuvering, and structural analysis—are optimized simultaneously. The four discipline-level optimizations are driven by a system level optimization that minimizes the manufacturing cost while at the same time coordinates the exchange of information and the interaction among the discipline-level optimizations. Thus, the interaction among individual optimizations is captured along with the impact of the physical characteristics
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Xu, Huanwei, Wei Li, Liudong Xing, and Shun-Peng Zhu. "Multidisciplinary design optimization under correlated uncertainties." Concurrent Engineering 25, no. 3 (2017): 262–75. http://dx.doi.org/10.1177/1063293x17697456.

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Uncertainty analysis is a hot research topic in multidisciplinary design optimization for complex mechanical systems. Existing multidisciplinary design optimization works typically assume that uncertainties are uncorrelated of each other. In real-world engineering systems, however, correlations do exist between different uncertainties. The multidisciplinary design optimization methods without considering correlations between uncertainties may cause inaccuracy and thus misleading optimization results. In this article, we make contributions by proposing a new multidisciplinary design optimizatio
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Mohammad Zadeh, Parviz, and Mohadeseh Sadat Shirazi. "Multidisciplinary design optimization architecture to concurrent design of satellite systems." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 10 (2016): 1898–916. http://dx.doi.org/10.1177/0954410016665412.

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The design of space systems is a complex and multidisciplinary process with multiple conflicting objectives, large number of design variables, and constraints that limits application of the existing multidisciplinary design optimization architectures to this class of design problems. This paper presents an enhanced multidisciplinary design optimization architecture to concurrent holistic design optimization of a satellite system. The proposed multidisciplinary design optimization architecture extends concepts of multidiscipline feasible and bi-level integrated system synthesis into a unified a
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Kurdi, Mohammad. "A Structural Optimization Framework for Multidisciplinary Design." Journal of Optimization 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/345120.

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This work describes the development of a structural optimization framework adept at accommodating diverse customer requirements. The purpose is to provide a framework accessible to the optimization research analyst. The framework integrates the method of moving asymptotes into the finite element analysis program (FEAP) by exploiting the direct interface capability in FEAP. Analytic sensitivities are incorporated to provide a robust and efficient optimization search. User macros are developed to interface the design algorithm and analytic sensitivity with the finite element analysis program. To
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Brevault, Loïc, Mathieu Balesdent, and Sébastien Defoort. "Preliminary study on launch vehicle design: Applications of multidisciplinary design optimization methodologies." Concurrent Engineering 26, no. 1 (2017): 93–103. http://dx.doi.org/10.1177/1063293x17737131.

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The design of complex systems such as launch vehicles involves different fields of expertise that are interconnected. To perform multidisciplinary studies, concurrent engineering aims at providing a collaborative environment which often relies on data set exchange. In order to efficiently achieve system-level analyses (uncertainty propagation, sensitivity analysis, optimization, etc.), it is necessary to go beyond data set exchange which limits the capabilities of performance assessments. Multidisciplinary design optimization methodologies is a collection of engineering methodologies to optimi
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Lee, Jae-Woo, Seok-Min Choi, Nguyen Nhu Van, Ji-Min Kim, and Yung-Hwan Byun. "Multidisciplinary UAV Design Optimization Implementing Multi-Fidelity Analysis Techniques." Journal of the Korean Society for Aeronautical & Space Sciences 40, no. 8 (2012): 695–702. http://dx.doi.org/10.5139/jksas.2012.40.8.695.

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Lin, JiGuan G. "Analysis and Enhancement of Collaborative Optimization for Multidisciplinary Design." AIAA Journal 42, no. 2 (2004): 348–60. http://dx.doi.org/10.2514/1.9098.

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Sun, Yicheng, and Howard Smith. "Low-boom low-drag optimization in a multidisciplinary design analysis optimization environment." Aerospace Science and Technology 94 (November 2019): 105387. http://dx.doi.org/10.1016/j.ast.2019.105387.

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Dissertations / Theses on the topic "Multidisciplinary design analysis and optimization"

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Maginot, Jeremy. "Sensitivity analysis for multidisciplinary design optimization." Thesis, Cranfield University, 2007. http://dspace.lib.cranfield.ac.uk/handle/1826/5667.

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When designing a complex industrial product, the designer often has to optimise simultaneously multiple conflicting criteria. Such a problem does not usually have a unique solution, but a set of non-dominated solutions known as Pareto solutions. In this context, the progress made in the development of more powerful but more computationally demanding numerical methods has led to the emergence of multi-disciplinary optimisation (MDO). However, running computationally expensive multi-objective optimisation procedures to obtain a comprehensive description of the set of Pareto solutions might not a
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Mardia, Rishab. "Financial analysis in multidisciplinary design optimization." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/130719.

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Thesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, February, 2021<br>Cataloged from the official PDF of thesis. "February 2021."<br>Includes bibliographical references (pages 57-58).<br>MDO is moving beyond the small group of NASA and Aerospace companies and is increasingly being adopted by organizations around the world. With MDO, we can optimize across multiple disciplines and find the ideal design which maximizes benefit to the company and society. Given the complexity of working with multiple disciplines and st
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Malone, Brett. "Multidisciplinary optimization in aircraft design using analysis technology models." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10102009-020042/.

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Lee, Chung Hyun. "Bayesian collaborative sampling: adaptive learning for multidisciplinary design." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42894.

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A Bayesian adaptive sampling method is developed for highly coupled multidisciplinary design problems. The method addresses a major challenge in aerospace design: exploration of a design space with computationally expensive analysis tools such as computational fluid dynamics (CFD) or finite element analysis. With a limited analysis budget, it is often impossible to optimize directly or to explore a design space with off-line design of experiments (DoE) and surrogate models. This difficulty is magnified in multidisciplinary problems with feedbacks between disciplines because each design point m
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Khalid, Adeel S. "Development and Implementation of Rotorcraft Preliminary Design Methodology using Multidisciplinary Design Optimization." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14013.

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A formal framework is developed and implemented in this research for preliminary rotorcraft design using IPPD methodology. All the technical aspects of design are considered including the vehicle engineering, dynamic analysis, stability and control, aerodynamic performance, propulsion, transmission design, weight and balance, noise analysis and economic analysis. The design loop starts with a detailed analysis of requirements. A baseline is selected and upgrade targets are identified depending on the mission requirements. An Overall Evaluation Criterion (OEC) is developed that is used to measu
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Morris, Craig C. "Flight Dynamic Constraints in Conceptual Aircraft Multidisciplinary Analysis and Design Optimization." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/25787.

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This work details the development of a stability and control module for implementation into a Multidisciplinary Design Optimization (MDO) framework for the conceptual design of conventional and advanced aircraft. A novel approach, called the Variance Constrained Flying Qualities (VCFQ) approach, is developed to include closed-loop dynamic performance metrics in the design optimization process. The VCFQ approach overcomes the limitations of previous methods in the literature, which only functioned for fully decoupled systems with single inputs to the system. Translation of the modal parameter b
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Anil, Kivanc Ali. "Multi-criteria analysis in Naval Ship Design /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FAnil.pdf.

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Thesis (M.S. in Mechanical Engineering)--Naval Postgraduate School, March 2005.<br>Thesis Advisor(s): Fotis Papoulias, Roman B. Statnikov. Includes bibliographical references (p. 241). Also available online.
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Deremaux, Yann 1978. "Physically-based, real-time visualization and constraint analysis in multidisciplinary design optimization." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/16993.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2003.<br>Includes bibliographical references (p. 147-150).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>As computational tools becomes a valuable part of the engineering process, multidisciplinary design optimization (MDO) has become a popular approach for the design of complex engineering systems. MDO has had considerable impact by improving the performance, lowering the lifecycle cost and short
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Shetty, Neeti. "Multidisciplinary design Optimization in Aerodynamics and Aeroacoustics : Analysis of the A-Pillar." Thesis, Linköpings universitet, Mekanisk värmeteori och strömningslära, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150100.

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A roof above your head, when in a car, is made possible due to the component calledthe A-pillar in the automotive industry. This component is not only responsible forholding up the roof but also in providing a point for the windscreen to be attached.Hence, it is denitely a part that can not be done away with and any problems arising from it must be solved. The flow over the A-pillar causes formation of vortices which causes an increase in the drag generated by the vehicle. These vortices also cause a high level of noise to be generated, which can cause discomfort inside the vehicle, when it is
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Mallik, Wrik. "Aeroelastic Analysis of Truss-Braced Wing Aircraft: Applications for Multidisciplinary Design Optimization." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/71650.

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This study highlights the aeroelastic behavior of very flexible truss-braced wing (TBW) aircraft designs obtained through a multidisciplinary design optimization (MDO) framework. Several improvements to previous analysis methods were developed and validated. Firstly, a flutter constraint was developed and the effects of the constraint on the MDO of TBW transport aircraft for both medium-range and long-range missions were studied while minimizing the take-off gross weight (TOGW) and the fuel burn as the objective functions. Results show that when the flutter constraint is applied at 1.15 times
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Books on the topic "Multidisciplinary design analysis and optimization"

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Lu, Charles. Multidisciplinary Design Analysis and Optimization of Aerospace Composites. SAE International, 2019. http://dx.doi.org/10.4271/9780768001853.

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Gopichand, Koganti, Kelkar Atul G, and Langley Research Center, eds. Multidisciplinary concurrent design optimization via the internet. National Aeronautics and Space Administration, Langley Research Center, 2001.

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Kodiyalam, S. Evaluation of methods for multidisciplinary design optimization (MDO), phase I. National Aeronautics and Space Administration, Langley Research Center, 1998.

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Kodiyalam, S. Evaluation of methods for multidisciplinary design optimization (MDO), phase I. National Aeronautics and Space Administration, Langley Research Center, 1998.

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M, Alexandrov Natalia, Hussaini M. Yousuff, Institute for Computer Applications in Science and Engineering., Langley Research Center, and ICASE/NASA Langley Workshop on Multidisciplinary Design (1994 : Hampton, Va.), eds. Multidisciplinary design optimization: State of the art. Society for Industrial and Applied Mathematics, 1997.

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A, Wilkinson C., and United States. National Aeronautics and Space Administration., eds. Execution of multidisciplinary design optimization approaches on common test problems. American Institute of Aeronautics and Astronautics, 1997.

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O, Salas Andrea, Schuler M. Patricia, and Langley Research Center, eds. Configuration management of an optimization application in a research environment. National Aeronautics and Space Administration, Langley Research Center, 1999.

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K, Kincaid R., and Langley Research Center, eds. Aerospace applications of integer and combinatorial optimization. National Aeronautics and Space Administration, Langley Research Center, 1995.

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K, Kincaid R., and United States. National Aeronautics and Space Administration., eds. Aerospace applications of integer and combinatorial optimization. National Aeronautics and Space Administration, 1995.

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Center, Langley Research, ed. Sensitivity analysis and multidisciplinary optimization for aircraft design: Recent advances and results. National Aeronautics and Space Administration, Langley Research Center, 1988.

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Book chapters on the topic "Multidisciplinary design analysis and optimization"

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De Vuyst, Florian. "PDE Metamodeling Using Principal Component Analysis." In Multidisciplinary Design Optimization in Computational Mechanics. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118600153.ch3.

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Meng, Debiao, and Shun-Peng Zhu. "Uncertainty analysis method." In Multidisciplinary Design Optimization of Complex Structures Under Uncertainty. CRC Press, 2024. http://dx.doi.org/10.1201/9781003464792-4.

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Ye, Hong-ling, Yang Zhang, Qing-sheng Yang, and Ramana V. Grandhi. "Experimental and Numerical Analysis of Mechanical Properties of Tape Spring Hinges and Optimal Design." In Advances in Structural and Multidisciplinary Optimization. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67988-4_43.

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Rottmann, Lukas. "Aerodynamic Analysis and Optimization of a Coaxial Helicopter Fuselage." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79561-0_38.

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Moi, S. C., R. Rudrapati, A. Bandyopadhyay, and P. K. Pal. "Design Optimization of Welding Parameters for Multi-response Optimization in TIG Welding Using RSM-Based Grey Relational Analysis." In Lecture Notes on Multidisciplinary Industrial Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9072-3_17.

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Lincke, Anne, Gerrit Lauenroth, Thomas Rung, and Claus Wagner. "Fluid-Dynamic Optimization of the Cabin Air Outlet Do728-KLA with Adjoint Sensitivity Analysis." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03158-3_8.

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König, Kristian, and Michael Vielhaber. "Decision Support for Lightweight Design and Design for Circularity: A Trade-Off Analysis." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93891-7_23.

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Abstract The need for resource efficiency in sustainable development and environmental responsibility emphasizes the importance of lightweight design and design for circularity in product development. However, the complexity and multidisciplinary nature of decision-making in these areas pose a major challenge. Therefore, the present work proposes a novel approach for trade-off analysis to facilitate decision-making in conceptual design. Illustrated by a case study on the development of a semi-mobile handling system, five fundamental design strategies for decision-making are identified and disc
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Liebrecht, B., G. Neuwerth, and D. Jacob. "Analysis of the Oblique Flying Wing Concept’s Aerodynamic Potential by Means of Parameterization and Optimization." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39604-8_3.

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Kunze, Philipp, and Marc Wentrup. "Aerodynamic Analysis and Optimization of Wings and Tail Surfaces of a Compound Helicopter with Box Wing." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25253-3_36.

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Vankan, W. J., W. F. Lammen, and E. H. Baalbergen. "Multidisciplinary Modelling, Analysis and Optimization for Aircraft and System Level Design and Validation." In Advances in Computational Methods and Technologies in Aeronautics and Industry. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12019-0_11.

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Conference papers on the topic "Multidisciplinary design analysis and optimization"

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Ahlqvist, Alexandra, Jamal Nayfeh, Srinivas Kodiyalam, and P. Zarda. "Object oriented multidisciplinary design optimization." In 8th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4784.

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Wakayama, Sean, and Ilan Kroo. "Subsonic wing design using multidisciplinary optimization." In 5th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4409.

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Jivotovski, G., V. Malkov, and B. Perelman. "Multidisciplinary foil design." In 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-4965.

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Peri, Daniele, Giovanni Fasano, Daniele Dessi, and Emilio Campana. "Global Optimization Algorithms in Multidisciplinary Design Optimization." In 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-5888.

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KORNGOLD, JACOB, GARY GABRIELE, JOHN RENAUD, and GREG KOTT. "Application of multidisciplinary design optimization to electronic package design." In 4th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-4704.

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STUBBE, J. "PAYCOS - A multidisciplinary design optimization tool for hypersonicvehicle design." In 4th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-4723.

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Tischler, V., V. Venkayya, F. Eastep, and G. Bharatram. "Design interfaces and data transfer issues in multidisciplinary design." In 6th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-4125.

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Kroo, Ilan, Steve Altus, Robert Braun, Peter Gage, and Ian Sobieski. "Multidisciplinary optimization methods for aircraft preliminary design." In 5th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4325.

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McAllister, Charles, Timothy Simpson, and Mike Yukish. "Goal programming applications in multidisciplinary design optimization." In 8th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4717.

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Alexandrov, Natalia. "Multilevel and multiobjective optimization in multidisciplinary design." In 6th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-4122.

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Reports on the topic "Multidisciplinary design analysis and optimization"

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Simpson, Timothy W. Approaches to Multidisciplinary Design Optimization. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada385813.

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Grandhi, Ramana. Multidisciplinary Design Optimization for High Reliability and Robustness. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada442871.

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Vianese, Justin. Multidisciplinary Optimization of Naval Ship Design and Mission Effectiveness. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada421304.

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Reisenthel, Patrick H., Theodore T. Allen, Daniel J. Lesieutre, and Soo H. Lee. Development of Multidisciplinary, Multifidelity Analysis, Integration, and Optimization of Aerospace Vehicles. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada517077.

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Lindner, Douglas K. Energy Based Topology Optimization of Morphing Wings a Multidisciplinary Global/Local Design Approach. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada480198.

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Stamp, Jason E., John P. Eddy, Richard P. Jensen, and Karina Munoz-Ramos. Microgrid Design Analysis Using Technology Management Optimization and the Performance Reliability Model. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1235988.

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Catanach, Thomas, and Kevin Monogue. Analysis and Optimization of Seismo-Acoustic Monitoring Networks with Bayesian Optimal Experimental Design. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1815356.

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Schock, Alfred, Meera Mukunda, and G. Summers. Analysis, Optimization, and Assessment of Radioisotope Thermophotovoltaic System Design for an Illustrative Space Mission. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/1034425.

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Helsper, Josh. Transportation analysis and related design optimization of the Fermilab high-beta 650 MHz cryomodule. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1764073.

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Choi, Yong-Joon, Khang Nguyen, Jarrett Valeri, et al. Development of Plant Reload Optimization Framework Capabilities for Core Design and Fuel Performance Analysis. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/2004936.

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