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

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

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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Peri, Daniele, and Emilio F. Campana. "Multidisciplinary Design Optimization of a Naval Surface Combatant." Journal of Ship Research 47, no. 01 (2003): 1–12. http://dx.doi.org/10.5957/jsr.2003.47.1.1.

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Whereas shape optimal design has received considerable attention in many industrial contexts, the application of automatic optimization procedures to hydrodynamic ship design has not yet reached the same maturity. Nevertheless, numerical tools, combining together modern computational fluid dynamics and optimization methods, can aid in the ship design, enhancing the operational performances and reducing development and construction costs. This paper represents an attempt of applying a multidisciplinary design optimization (MDO) procedure to the enhancement of the performances of an existing shi

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Sridharan, Ananth, and Bharath Govindarajan. "A MultiDisciplinary Optimization Approach for Sizing Vertical Lift Aircraft." Journal of the American Helicopter Society 67, no. 2 (2022): 1–15. http://dx.doi.org/10.4050/jahs.67.022004.

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This paper presents an approach to reframe the sizing problem for vertical-lift unmanned aerial vehicles (UAVs) as an optimization problem and obtains a weight-optimal solution with up to two orders of magnitude of savings in wall clock time. Because sizing is performed with higher fidelity models and design variables from several disciplines, the Simultaneous Analysis aNd Design (SAND) approach from fixed-wing multidisciplinary optimization literature is adapted for the UAV sizing task. Governing equations and disciplinary design variables that are usually self-contained within disciplines (a

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13

Adami, Amirhossein, Mahdi Mortazavi, Mehran Nosratollahi, Mohammadreza Taheri, and Jalal Sajadi. "Multidisciplinary Design Optimization and Analysis of Hydrazine Monopropellant Propulsion System." International Journal of Aerospace Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/295636.

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Monopropellant propulsion systems are widely used especially for low cost attitude control or orbit correction (orbit maintenance). To optimize the total propulsion system, subsystems should be optimized. Chemical decomposition, aerothermodynamics, and structure disciplines demand different optimum condition such as tank pressure, catalyst bed length and diameter, catalyst bed pressure, and nozzle geometry. Subsystem conflicts can be solved by multidisciplinary design optimization (MDO) technique with simultaneous optimization of all subsystems with respect to any criteria and limitations. In

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Pilcher, Chris, Joon Chung, and Michael Ringshandl. "A multidisciplinary design optimization approach to preliminary wing design using multifidelity analysis." Canadian Aeronautics and Space Journal 58, no. 02 (2012): 95–104. http://dx.doi.org/10.5589/q12-008.

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15

Mishra, Soumya Ranjan, and Kamran Behdinan. "MULTIDISCIPLINARY DESIGN ANALYSIS AND OPTIMIZATION FRAMEWORK FOR REGULATORY DRIVEN MEDICAL DEVICE DEVELOPMENT." Proceedings of the Design Society 3 (June 19, 2023): 2735–44. http://dx.doi.org/10.1017/pds.2023.274.

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AbstractMultidisciplinary design optimization (MDO) is a technique used in the design of systems involving the integration of many disciplines. The architecture and formulation of MDO has an impact on the solution time and optimality of final designs. The process of developing medical devices requires the combination of medical and technical knowledge and abilities. Developing a medical device is done by a complicated collection of Product Development Processes that entail tremendous oversight to ensure conformity to regulatory requirements. Regulatory standards often provide stern “Go / No-Go

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Zhang, Qiang, Jihong Liu, and Xu Chen. "Multidisciplinary Reliability Design Optimization Modeling Based on SysML." Applied Sciences 14, no. 17 (2024): 7558. http://dx.doi.org/10.3390/app14177558.

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Model-Based Systems Engineering (MBSE) supports the system-level design of complex products effectively. Currently, system design and optimization for complex products are two distinct processes that must be executed using different software or platforms, involving intricate data conversion processes. Applying multidisciplinary optimization to validate system optimization often necessitates remodeling the optimization objects, which is time-consuming, labor-intensive, and highly error-prone. A critical activity in systems engineering is identifying the optimal design solution for the entire sy

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Yifei, Tong, Ye Wei, Yang Zhen, Li Dongbo, and Li Xiangdong. "Research on Multidisciplinary Optimization Design of Bridge Crane." Mathematical Problems in Engineering 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/763545.

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Bridge crane is one of the most widely used cranes in our country, which is indispensable equipment for material conveying in the modern production. In this paper, the framework of multidisciplinary optimization for bridge crane is proposed. The presented research on crane multidisciplinary design technology for energy saving includes three levels, respectively: metal structures level, transmission design level, and electrical system design level. The shape optimal mathematical model of the crane is established for shape optimization design of metal structure level as well as size optimal math

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Martins, Joaquim R. R. A., and Graeme J. Kennedy. "Enabling large-scale multidisciplinary design optimization through adjoint sensitivity analysis." Structural and Multidisciplinary Optimization 64, no. 5 (2021): 2959–74. http://dx.doi.org/10.1007/s00158-021-03067-y.

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Martins, Joaquim R. R. A., and Graeme J. Kennedy. "Enabling large-scale multidisciplinary design optimization through adjoint sensitivity analysis." Structural and Multidisciplinary Optimization 64, no. 5 (2021): 2959–74. http://dx.doi.org/10.1007/s00158-021-03067-y.

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20

Gray, Justin, Kenneth T. Moore, Tristan A. Hearn, and Bret A. Naylor. "Standard Platform for Benchmarking Multidisciplinary Design Analysis and Optimization Architectures." AIAA Journal 51, no. 10 (2013): 2380–94. http://dx.doi.org/10.2514/1.j052160.

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21

Huang, Hong-Zhong, Xiaoling Zhang, Wei Yuan, Debiao Meng, and Xudong Zhang. "Collaborative Reliability Analysis under the Environment of Multidisciplinary Design Optimization." Concurrent Engineering 19, no. 3 (2011): 245–54. http://dx.doi.org/10.1177/1063293x11420177.

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22

Ma, Rong, Ke-ping Zhou, and Feng Gao. "Stability analysis of underground engineering based on multidisciplinary design optimization." Journal of Coal Science and Engineering (China) 14, no. 4 (2008): 608–12. http://dx.doi.org/10.1007/s12404-008-0422-5.

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23

Wang, Lei, Chuang Xiong, Juxi Hu, Xiaojun Wang, and Zhiping Qiu. "Sequential multidisciplinary design optimization and reliability analysis under interval uncertainty." Aerospace Science and Technology 80 (September 2018): 508–19. http://dx.doi.org/10.1016/j.ast.2018.07.029.

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24

Mastroddi, Franco, and Stefania Gemma. "Analysis of Pareto frontiers for multidisciplinary design optimization of aircraft." Aerospace Science and Technology 28, no. 1 (2013): 40–55. http://dx.doi.org/10.1016/j.ast.2012.10.003.

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25

Xu, Huanwei, Wei Li, Mufeng Li, Cong Hu, Suichuan Zhang, and Xin Wang. "Multidisciplinary robust design optimization based on time-varying sensitivity analysis." Journal of Mechanical Science and Technology 32, no. 3 (2018): 1195–207. http://dx.doi.org/10.1007/s12206-018-0223-8.

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26

Hosseini, Saeed, Mohammad Ali Vaziry-Zanjany, and Hamid Reza Ovesy. "A Framework for Aircraft Conceptual Design and Multidisciplinary Optimization." Aerospace 11, no. 4 (2024): 273. http://dx.doi.org/10.3390/aerospace11040273.

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In this research, the architecture and the functionalities of the LAMBDA (Laboratory of Aircraft Multidisciplinary Knowledge-Based Design and Analysis) framework for the design, analysis, and optimization of civil aircraft are presented. The framework is developed in MATLAB R2022a and comprises a modular architecture, which gives the potential for the use of different methods and fidelities for each discipline. The methods can be selected from a set of built-in methods or custom user-defined scripts. Disciplinary modules of the LAMBDA (Laboratory of Aircraft Multidisciplinary Knowledge-Based D

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Deng, Jian, Guangming Zhou, and Yu Qiao. "Multidisciplinary design optimization of sandwich-structured radomes." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 1 (2018): 179–89. http://dx.doi.org/10.1177/0954406218757268.

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A multidisciplinary design optimization framework is proposed for sandwich-structured radomes. Radomes ensure the functional operation of antenna systems in adverse environment catering for aerodynamic stresses and payload requirements. The existence of radomes can partially degrade the electromagnetic performance of antenna systems. The electromagnetic performance and mechanical responses are taken into account simultaneously in the optimization design. This is more time-saving and economical compared to the traditional separate considerations on these two aspects. Coupled with multi-island g

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Lei, Li, and Zhang Jianrun. "Multidisciplinary Design Optimization of Distribution Cam Mechanism of Diesel Engine." Applied Mathematics & Information Sciences 7, no. 5 (2013): 1957–62. http://dx.doi.org/10.12785/amis/070534.

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29

MIELOSZYK, Jacek, Tomasz GOETZENDORF-GRABOWSKI, and Dawid MIESZALSKI. "RAPID GEOMETRY DEFINITION FOR MULTIDISCIPLINARY DESIGN AND ANALYSIS OF AN AIRCRAFT." Aviation 20, no. 2 (2016): 60–64. http://dx.doi.org/10.3846/16487788.2016.1195066.

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Conceptual and preliminary design level of aircraft design is searching for an easy, flexible and efficient way of computational geometry definition. Accelerating the process of geometry definition is the basic step for acceleration of all computations. It also enables optimization, where changes of numerical model are made automatically according to the optimization algorithms. The geometry definition has to be robust, free from errors and stay feasible.

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Chai, Mengjiang, Yongliang Yuan, and Wenjuan Zhao. "An improved particle swarm optimization algorithm for dynamic analysis of chain drive based on multidisciplinary design optimization." Advances in Mechanical Engineering 11, no. 3 (2019): 168781401982961. http://dx.doi.org/10.1177/1687814019829611.

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Chain drive is one of the most commonly used mechanical devices in the main equipment transmission system. In the past decade, scholars focused on basic performance research, but ignore its best performance. In this study, due to the large vibration of the chain drive in the transmission system, the vibration performance and optimization parameters are also considered as a new method to design the chain drive system to obtain the best performance of the chain drive system. This article proposes a new method and takes a chain drive design as a case based on the multidisciplinary design optimiza

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Bi, Wei, Wenhua Chen, and Jun Pan. "Multidisciplinary Reliability Design Considering Hybrid Uncertainty Incorporating Deep Learning." Wireless Communications and Mobile Computing 2022 (November 18, 2022): 1–11. http://dx.doi.org/10.1155/2022/5846684.

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Multidisciplinary reliability design optimization is considered an effective method for solving complex product design optimization problems under the influence of uncertainty factors; however, the high computational cost seriously affects its application in practice. As an important part of multidisciplinary reliability design optimization, multidisciplinary reliability analysis plays a direct leading role in its computational efficiency. At present, multidisciplinary reliability analysis under mixed uncertainty is still nested or sequential execution mode, which leads to the problem of poor

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32

Zhang, Jun, and Bing Zhang. "A Collaborative Approach for Multidisciplinary Systems Reliability Design and Optimization." Advanced Materials Research 694-697 (May 2013): 911–14. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.911.

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In order to improve the efficiency and robustness of reliability-based multidisciplinary design optimization (RBMDO), a new collaborative strategy (named C-RBMDO) which integrates performance measure approach (PMA) and concurrent subspace optimization strategy (CSSO) is proposed. Both the mathematical model and optimization procedure are put forward. The traditional triple-level nested flowchart of RBMDO is decoupled with the sequential optimization and reliability assessment (SORA). The deterministic multidisciplinary design optimization and the multidisciplinary reliability analysis are exec

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Lam, Xuan-Binh. "Multidiscilinary design optimization for aircraft wing using response surface method, genetic algorithm, and simulated annealing." Journal of Science and Technology in Civil Engineering (STCE) - NUCE 14, no. 1 (2020): 28–41. http://dx.doi.org/10.31814/stce.nuce2020-14(1)-03.

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Multidisciplinary Design Optimization (MDO) has received a considerable attention in aerospace industry. The article develops a novel framework for Multidisciplinary Design Optimization of aircraft wing. Practically, the study implements a high-fidelity fluid/structure analyses and accurate optimization codes to obtain the wing with best performance. The Computational Fluid Dynamics (CFD) grid is automatically generated using Gridgen (Pointwise) and Catia. The fluid flow analysis is carried out with Ansys Fluent. The Computational Structural Mechanics (CSM) mesh is automatically created by Pat

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Siddappaji, Kiran, and Mark G. Turner. "An Advanced Multifidelity Multidisciplinary Design Analysis Optimization Toolkit for General Turbomachinery." Processes 10, no. 9 (2022): 1845. http://dx.doi.org/10.3390/pr10091845.

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The MDAO framework has become an essential part of almost all fields, apart from mechanical, transportation, and aerospace industries, for efficient energy conversion or otherwise. It enables rapid iterative interaction among several engineering disciplines at various fidelities using automation tools for design improvement. An advanced framework from low to high fidelity is developed for ducted and unducted turbomachinery blade designs. The parametric blade geometry tool is a key feature which converts low-fidelity results into 3D blade shapes and can readily be used in high-fidelity multidis

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Meng, Debiao, Miao Liu, Shunqi Yang, Hua Zhang, and Ran Ding. "A fluid–structure analysis approach and its application in the uncertainty-based multidisciplinary design and optimization for blades." Advances in Mechanical Engineering 10, no. 6 (2018): 168781401878341. http://dx.doi.org/10.1177/1687814018783410.

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In practical engineering, the choice of blade shape is crucial in the design process of turbine. It is because not only the structural stability but also the aerodynamic performance of turbine depends on the shape of blades. Generally, the design of blades is a typical multidisciplinary design optimization problem which includes many different disciplines. In this study, a fluid–structure coupling analysis approach is proposed to show the application of multidisciplinary design optimization in engineering. Furthermore, a strategy of uncertainty-based multidisciplinary design optimization using

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Jafarsalehi, A., HR Fazeley, and M. Mirshams. "Spacecraft mission design optimization under uncertainty." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 230, no. 16 (2016): 2872–87. http://dx.doi.org/10.1177/0954406215603416.

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The design of space systems is a complex and multidisciplinary process. In this study, two deterministic and nondeterministic approaches are applied to the system design optimization of a spacecraft which is actually a small satellite in low Earth orbit with remote sensing mission. These approaches were then evaluated and compared. Different disciplines such as mission analysis, payload, electrical power supply, mass model, and launch manifest were properly combined for further use. Furthermore, genetic algorithm and sequential quadratic programming were employed as the system-level and local-

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Choi, Jung-Sun, and Gyung-Jin Park. "Multidisciplinary design optimization of the flapping wing system for forward flight." International Journal of Micro Air Vehicles 9, no. 2 (2017): 93–110. http://dx.doi.org/10.1177/1756829317691990.

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The success of a flapping wing air vehicle flight is strongly related to the flapping motion and wing structure. Various disciplines should be considered for analysis and design of the flapping wing system. A design process for a flapping wing system is defined by using multidisciplinary design optimization. Unsteady aeroelastic analysis is employed as the system analysis. From the results of the aeroelastic analysis, the deformation of the wing is transmitted to the fluid discipline and the dynamic pressure is conveyed to the structural discipline. In the fluid discipline, a kinematic optimiz

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Zhang, Zhuo, Fei Yu, Bo Xu, Shipeng Du, and Qiuying Wang. "The Analysis and Optimization Design of Thermal-Electrical Coupling System with Consideration of Numerical Noises." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 6906–15. http://dx.doi.org/10.1166/jctn.2016.5646.

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The optimization function for designing is usually not smooth or discontinuous due to numerical noises, which makes the multidisciplinary decoupling and optimization design more difficult. An global multidisciplinary optimization approach with consideration of numerical noises is proposed in this paper. First, the decoupling problem is transferred into optimization in line with the idea of Simultaneous Analysis and Design (SAND). Kriging models are introduced as surrogate models in order to filter the numerical noises, then the location of new samples is determined with the method of Maximum L

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Talya, Shashishekara S., J. N. Rajadas, and A. Chattopadhyay. "Multidisciplinary design optimization of film-cooled gas turbine blades." Mathematical Problems in Engineering 5, no. 2 (1999): 97–119. http://dx.doi.org/10.1155/s1024123x99001015.

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Design optimization of a gas turbine blade geometry for effective film cooling toreduce the blade temperature has been done using a multiobjective optimization formulation. Three optimization formulations have been used. In the first, the average blade temperature is chosen as the objective function to be minimized. An upper bound constraint has been imposed on the maximum blade temperature. In the second, the maximum blade temperature is chosen as the objective function to be minimized with an upper bound constraint on the average blade temperature. In the third formulation, the blade average

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Armellin, Roberto, and Michèle Lavagna. "Multidisciplinary Optimization of Aerocapture Maneuvers." Journal of Artificial Evolution and Applications 2008 (April 7, 2008): 1–13. http://dx.doi.org/10.1155/2008/248798.

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A multidisciplinary-multiobjective optimization of aerocapture maneuvers is presented. The proposed approach allows a detailed analysis of the coupling among vehicle's shape, trajectory control, and thermal protection system design. A set of simplified models are developed to address this analysis and a multiobjective particle swarm optimizer is adopted to obtain the set of Pareto optimal solutions. In order to deal with an unconstrained multiobjective optimization, a two-point boundary value problem is formulated to implicitly satisfy the constraints on the atmospheric exit conditions. The tr

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Besnard, Eric, Adeline Schmitz, Hamid Hefazi, and Rahul Shinde. "Constructive Neural Networks and Their Application to Ship Multidisciplinary Design Optimization." Journal of Ship Research 51, no. 04 (2007): 297–312. http://dx.doi.org/10.5957/jsr.2007.51.4.297.

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This paper presents a neural network-based response surface method for reducing the cost of computer-intensive optimizations for applications in ship design. In the approach, complex or costly analyses are replaced by a neural network, which is used to instantaneously estimate the value of the function(s) of interest. The cost of the optimization is shifted to the generation of (smaller) data sets used for training the network. The focus of the paper is on the use and analysis of constructive networks, as opposed to networks of fixed size, for treating problems with a large number of variables

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Wang, Li, Boris Diskin, Robert T. Biedron, Eric J. Nielsen, and Olivier A. Bauchau. "High-Fidelity Multidisciplinary Sensitivity Analysis and Design Optimization for Rotorcraft Applications." AIAA Journal 57, no. 8 (2019): 3117–31. http://dx.doi.org/10.2514/1.j056587.

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York, Martin A., Berk Öztürk, Edward Burnell, and Warren W. Hoburg. "Efficient Aircraft Multidisciplinary Design Optimization and Sensitivity Analysis via Signomial Programming." AIAA Journal 56, no. 11 (2018): 4546–61. http://dx.doi.org/10.2514/1.j057020.

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KIM, Sangho, Jungkeun PARK, Jeong-Oog LEE, and Jae-Woo LEE. "A Systematic Approach for Quantitative Analysis of Multidisciplinary Design Optimization Framework." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 52, no. 178 (2010): 246–54. http://dx.doi.org/10.2322/tjsass.52.246.

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Gray, Justin S., John T. Hwang, Joaquim R. R. A. Martins, Kenneth T. Moore, and Bret A. Naylor. "OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization." Structural and Multidisciplinary Optimization 59, no. 4 (2019): 1075–104. http://dx.doi.org/10.1007/s00158-019-02211-z.

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Tappeta, R. V., and J. E. Renaud. "Multiobjective Collaborative Optimization." Journal of Mechanical Design 119, no. 3 (1997): 403–11. http://dx.doi.org/10.1115/1.2826362.

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This investigation focuses on the development of modifications to the Collaborative Optimization (CO) approach to multidisciplinary systems design, that will provide solution capabilities for multiobjective problems. The primary goal of this paper is to provide a comprehensive overview and development of mathematically rigorous optimization strategies for Multiobjective Collaborative Optimization (MOCO). Collaborative Optimization strategies provide design optimization capabilities to discipline designers within a multidisciplinary design environment. To date these CO strategies have primarily

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Yang, Fan, Ming Liu, Lei Li, Hu Ren, and Jianbo Wu. "Evidence-Based Multidisciplinary Design Optimization with the Active Global Kriging Model." Complexity 2019 (November 15, 2019): 1–13. http://dx.doi.org/10.1155/2019/8390865.

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This article presents an approach that combines the active global Kriging method and multidisciplinary strategy to investigate the problem of evidence-based multidisciplinary design optimization. The global Kriging model is constructed by introducing a so-called learning function and using actively selected samples in the entire optimization space. With the Kriging model, the plausibility, Pl, of failure is obtained with evidence theory. The multidisciplinary feasible and collaborative optimization strategies of multidisciplinary design optimization are combined with the evidence-based reliabi

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Zhang, Yi Shang, Bin Zhao, Yong Shou Liu, and Zhu Feng Yue. "Reliability-Based Multidisciplinary Design Optimization for Centrifugal Compressor Using the Fourth Moment Method." Advanced Materials Research 156-157 (October 2010): 575–81. http://dx.doi.org/10.4028/www.scientific.net/amr.156-157.575.

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A reliability-based multidisciplinary design optimization (RBMDO) frame work for Centrifugal compressor was presented. Multidisciplinary feasible method was used to decouple the multidisciplinary analysis and the fourth moment method for reliability analysis was recommended systematically. Based on the approximation, the RBMDO framework was finished. The case study shows that optimization efforts could improve obviously the performance of centrifugal compressor under the requirements of reliability. This framework could make the design reach the best performance with a good reliability. It ind

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Yu, Rong Gang, Jun Zhang, and Bing Zhang. "A PMA-Based Collaborative Strategy for Reliability Design and Optimization of Multidisciplinary Systems." Advanced Materials Research 418-420 (December 2011): 411–14. http://dx.doi.org/10.4028/www.scientific.net/amr.418-420.411.

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To tackle the computing efficiency and robustness problems caused by the reliability index approach (RIA) in reliability-based multidisciplinary design optimization (RBMDO), a new performance measure approach-based method for RBMDO is proposed. Meanwhile, the traditional triple-level nested flowchart of RBMDO is decoupled through the main idea of sequential optimization and reliability assessment (SORA). Both deterministic multidisciplinary design optimization and the multidisciplinary reliability analysis are executed by collaborative optimization (CO). Finally, the proposed method is verifie

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Lu, Yun Tong, Chun Jie Wang, Ang Li, and Han Wang. "Multidisciplinary Design Optimization of a Lunar Lander’s Soft-Landing Gear." Applied Mechanics and Materials 42 (November 2010): 118–21. http://dx.doi.org/10.4028/www.scientific.net/amm.42.118.

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Abstract:

The rapid development of Multidisciplinary Design Optimization (MDO) approach can simultaneously guarantee the cut of cost on design and optimal performance of spacecraft. Based on the theory of Collaborative Optimization approach (CO) of MDO, present paper proposes the method of CO by integrating Pro/E(3D modeling), Patran/Nastran(FEM analysis) and ADAMS(multi-body dynamic analysis) with the Isight software. In the analysis of the soft-landing gear of Lunar Lander, this method can optimize the mass of the landing gear and meanwhile ensures the reliability of structure statics, structure dynam

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