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Part of the book series: Ocean Engineering & Oceanography ((OEO,volume 13))

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Abstract

This book is mainly aiming to demonstrate the application of multidisciplinary design optimization theory in the design of large complex engineering systems like deep sea human occupied vehicle (HOV). As an important phase of the lifecycle of an engineering project, engineering design means the activity to provide the design document and drawing base on solid technical calculation, evaluation and estimation for the implementation of the engineering project. Engineering design is an important process to conduct the overall plan and intention of implementation of the project, it also can be considered as the way to turn science/technology into actual productivity.

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References

  • Carty A (2002) An approach to multidisciplinary design, analysis & optimization for rapid conceptual design. AIAA 2002-5438

    Google Scholar 

  • Chen W, Optimized combination creates strong fighting capacity. PLA Daily Newspaper, 20010314, P 12. (陈卫. 科学组合出战斗力. 解放军报, 2001年03月14日, 第12版.)

    Google Scholar 

  • Chen Q (2003) Research on multi-disciplinary design optimization method for distributed coevolution of aircraft. Doctoral thesis of National University of Defense Technology, advisor Dai Jinhai. (陈琪锋. (2003). 飞行器分布式协同进化多学科设计优化方法研究. 国防科技大学博士论文, 指导老师戴金海.)

    Google Scholar 

  • Chen Q, Li X, DAI J (2001).Cooperative coevolutionary MDO algorithm for missile overall parameter optimization design. J National University of Defense Technol, 2001(05). (陈琪锋,李晓斌,戴金海. (2001). 导弹总体参数优化设计的合作协同进化MDO算法.国防科技大学学报,2001,(05).)

    Google Scholar 

  • Cui W, Liu Z, Xu Q (2008) Four elements method for Large complex engineering system design. China Ship Build 49(2):1–12. (崔维成, 刘正元, 徐芑南. 大型复杂工程系统设计的四要素法[J]. 中国造船, 2008, 49(2): 1-12.)

    Google Scholar 

  • Ferguson Scott M (2008) Design of autonomous reconfigurable systems for use in extreme operating environments. Dissertations & Theses - Gradworks

    Google Scholar 

  • Giesing JP, Barthelemy JM (1998) A summary of industry MDO applications and needs. In: An AIAA white paper of AIAA technical committee, 7’th AIAA/USAF/NASA/ISSMO symposium on multidisciplinary anslysis and optimization

    Google Scholar 

  • Golovidov O. FLEXIBLE IMPLEMENTATION OF APPROXIMATION CONCEPTS IN AN MDO FRAMEWORK. AIAA 98-4959, 1998

    Google Scholar 

  • Gu Y, Cheng G (1995) Development and application of computer-aided structural optimization design software McAds. Chinese J Comput Mech 12(003):304–307. (程耿东, 顾元宪. 我国机械优化研究与应用的综述和展望[J]. 机械强度, 1995, 017(002):68–74.顾元宪, & 程耿东. (1995). 计算机辅助结构优化设计软件mcads的开发与应用. 计算力学学报, 12(003), 304–307.)

    Google Scholar 

  • Han M, Deng J (2007) Uncertainty modeling for multi-disciplinary design optimization. J Beihang University, January 2007, 33(1). (韩明红, 邓家 . (2007). 多学科设计优化中的不确定性建模. 北京航空航天大学学报, 2007年1月, 第33卷第1期.)

    Google Scholar 

  • Hart CG (2010) Multidisciplinary design optimization of complex engineering systems for cost assessment under uncertainty. PhD thesis of Naval Architecture and Marine Engineering in The University of Michigan

    Google Scholar 

  • Hefazi H, Schmitz A and Shide R (2005). Automated multidisciplinary design optimization method for multi-hull vessels. CCDoTT Final Project Report

    Google Scholar 

  • Hulme KF, Bloebaum CL (1997) Development of a multidisciplinary design optimization test simulator. Structural optimization, 14(2-3):129–137

    Google Scholar 

  • Hulme KF, Bloebaum CL (2000) A simulation-based comparison of multidisciplinary design optimization solution strategies using CASCADE. Structural and Multidisciplinary Optimization, 19(1):17–35

    Google Scholar 

  • Iqbal LU (2009) Multidisciplinary Design and Optimization (MDO) methodology for the aircraft conceptual design. Ph.D. thesis of Purdue University

    Google Scholar 

  • Kazuhisa C, Shinkyu J, Shigeru O and Hiroyuki M (2005) Data mining for multidisciplinary design space of regional-Jet Wing. 0-7803-9363-5/05/$20.00 ©2005 IEEE, pp 2333–2340

    Google Scholar 

  • Khalid AS, Schrage D (2006) Development and implementation of rotorcraft preliminary design methodology using multidisciplinary design optimization. A Ph.D. Dissertation of Georgia Institute of Technology, December 2006

    Google Scholar 

  • Kroo I, Altus S, Braun R et al. (1994) Multidisciplinary optimization methods for aircraft preliminary design[R]. AIAA-94-4325

    Google Scholar 

  • Ledsinger LA, Olds JR (1998) Multidisciplinary design optimization techniques for branching trajectories. AIAA 98–4713

    Google Scholar 

  • Li X, Li W (2003) Collaborative optimization method based on hypersphere approximation subspace and its application. J Northwestern Polytechnical University, 21(4):461–464. (李响; 李为吉. 基于超球近似子空间的协同优化方法及应用研究. 西北工业大学学报, 2003, 21(4):461–464)

    Google Scholar 

  • Liao X, Wang Z (2007) Design process modeling and reconstruction techniques in multidisciplinary design optimization. Aeronaut Manufact Technol, 3, 2007. (廖馨, 王振华. (2007). 多学科设计优化中的设计过程建模及重构技术. 航空制造技术, 2007年第3期.)

    Google Scholar 

  • Liu K, Yao W, YU X (2007). Aerodynamic multidisciplinary design optimization of wing structures using low freedom collaborative optimization. Acta Aerophenica Sinica, Sept 2007, Vol. 28, No. 5. (刘克龙, 姚卫星, 余雄庆. (2007). 运用低自由度协同优化的机翼结构气动多学科设计优化. 航空学报, 2007年9月,第28卷第5期.)

    Google Scholar 

  • Love MH (1998) Multidisciplinary design practices from the F-16 Agile Falcon. AIAA 98-4704

    Google Scholar 

  • Luo S, Luo W, Wang Z (2003) Multidisciplinary design optimization of hypersonic cruise aircraft based on test design and response surface approximation. Missile and Space Delivery Technology, 2003, 6, Total 266. (罗世彬, 罗文彩, 王振国. (2003). 基于试验设计和响应面近似的高超声速巡航飞行器多学科设计优化. 导弹与航天运载技术, 2003 年第6 期, 总第266 .)

    Google Scholar 

  • (刘克龙, 姚卫星. (2007). 多学科设计优化的低自由度协同优化方法. 南京航空航天大学学报, 2007年6月, 第39卷第3期.)

    Google Scholar 

  • Padula SL, Alexandrov N, Green LL (1996) MDO test suite at NASA Langley Research Center. AIAA Paper 96-4028

    Google Scholar 

  • Radovcich N and Layton D (1998) THE F-22 Stuctural/Aeroelastic design process with MDO examples. AIAA

    Google Scholar 

  • Rafique AF, He LS, Zeeshan Q, Kamran A, Nisar K, Wang XW (2009) Integrated system design of air launched small space launch vehicle using genetic algorithm. In: 45th AIAA/ASME/SAE/ASEE joint propulsion conference and exhibit. Denver, Colorado. AIAA 2009-5506

    Google Scholar 

  • Schrage D, Beltracchi T, Berke L, Dodd A, Niedling L, Sobieszczanski-Sobieski J (1991) Current state of the art on Multidisciplinary Design Optimization (MDO). In: An AIAA white paper of AIAA Technical Committee. ISBN 1-56347-021-7

    Google Scholar 

  • Shingler K, Goff D, Shrewsbury D, et al. (2005). Design report littoral Warfare Submarine (SSLW). Report of advanced tactics littoral alternative submarine ocean engineering design project AOE4065/4066

    Google Scholar 

  • Sobieszczanski-Sobieski J (1982) A linear decomposition method for large optimization problems. Blueprint for development

    Google Scholar 

  • Sobieszczanski-Sobieski J (1995) Multidisciplinary design optimization: an emerging new engineering discipline[M]. Springer, Netherlands

    MATH  Google Scholar 

  • Sun JL, Zhang G, Vlahopoulos N, Hong SB (2006) Multi-disciplinary design optimization under uncertainty for thermal protection system applications. In: 11th AIAA/ISSMO multidisciplinary analysis and optimization conference. Portsmouth, Virginia, AIAA 2006-7002

    Google Scholar 

  • Tarzanin F, Young DK (1998) Boeing rotorcraft experience with rotor design and optimization. AIAA 98-4733

    Google Scholar 

  • Tedford N (2007). Comparison of MDO architectures within a universal framework. A master thesis of the University of Toronto

    Google Scholar 

  • Wakayama S, Kroo I (1998) The challenge and promise of blended-wing-body optimization. AIAA 98-4736

    Google Scholar 

  • Wang J, Cheng G (2003) Topological optimization design of continuum structures under multi-condition stress constraints. Mech strength. (王健,程耿东. (2003). 多工况应力约束下连续体结构拓扑优化设计. 机械强度, 2003年1期.)

    Google Scholar 

  • Wang YD, Shen W, Ghenniwa H (2003) WebBlow—a Web-agent-based multidisciplinary design optimization environment. Computers in Industry 52:17–28

    Google Scholar 

  • Yan L, Chen X, Wang Z (2005) Sensitivity analysis method for aircraft multidisciplinary design optimization. Aeronaut Comput Technol, March, 2005, 35:1. (颜力, 陈小前, 王振国. (2005). 飞行器多学科设计优化中的灵敏度分析方法研究. 航空计算技术, 2005年3月, 第35卷第1期 .)

    Google Scholar 

  • Yi SI, Shin JK, Park GJ (2007) Comparison of MDO methods with mathematical examples. An REVIEW ARTICLE of Struct Multidisc Optim at Springer-Verlag. DOI https://doi.org/10.1007/s00158-007-0150-2

  • Young JA, Anderson RD, Yurkovich RN (1998) A description of the F/A-18E/F design and design process. AIAA 98-4701

    Google Scholar 

  • Yu X (1999) New aircraft design technology – multidisciplinary design optimization. Aeronaut Sci Technol. 1999. 1. (余雄庆. (1999). 飞机设计新技术——多学科设计优化. 航空科学技术, 1999.1.)

    Google Scholar 

  • Yu X, Yao W, Xue F, MO X, Liu K, HUANG A (2004) Discussion on multidisciplinary design optimization computing framework. March, 2004, vol. 23, No. 3.(余雄庆, 姚卫星, 薛飞, 穆雪峰, 刘克龙, 黄爱凤. (2004). 关于多学科设计优化计算框架的探讨. 2004年3月, 第23卷第3期.)

    Google Scholar 

  • Yukish M, Bennett L and Kurtz P (2001). Simulation-Based design for undersea weapon. iMAST Quarterly, No.2, pp 3-6

    Google Scholar 

  • Zhang K, Li W, Wei H (2006) Collaborative method for optimal allocation of design indicators. Mach Sci Technol, 25(7):797–801

    Google Scholar 

  • Zhang J, Su D, LIU Y (2008) Reliability analysis and optimization of mechanical products [M]. Beijing: Electronic Industry Press, 2008.(张建国, 苏多, 刘英卫. 机械产品可靠性分析与优化[M]. 北京: 电子工业出版社, 2008.)

    Google Scholar 

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Correspondence to Binbin Pan .

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© 2020 Zhejiang Science and Technology Publishing House Co., Ltd. and Springer Nature Singapore Pte Ltd.

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Pan, B., Cui, W. (2020). Introduction. In: Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design. Ocean Engineering & Oceanography, vol 13. Springer, Singapore. https://doi.org/10.1007/978-981-15-6455-0_1

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