37 Paz M. Dynamic condensation. AIAA Journal, 1984,22(5): 724-727
[4]
38 Paz M. Modified dynamic condensation method. Journal of Structural Engineering, 1989, 115(1): 234-238
[5]
39 Rothe K, Voss H. Improving condensation methods for eigenvalue problems via reyleigh functions. Computer Methods in Applied Mechanics and Engineering, 1994,111(1-2): 169-183
[6]
40 Kim KO. Dynamic condensation for structural redesign. AIAA Journal, 1984, 23(11): 1830-1832
44 Kane K, Torby BJ. The extended modal reduction method applied to rotor dynamic problems. Journal of Vibration and Acoustics, 1991, 113(11): 79-84
[11]
45 Rivera MA, Singh MP, Suarez LE. Dynamic condensation approach for non-classically damped structures. AIAA Journal, 1999, 37(5): 564-571
[12]
46 Qu ZQ, Selvam RP. Efficient method for dynamic condensation of nonclassically damped vibration systems. AIAA Journal, 2002, 40(2): 368-375
[13]
47 Qu ZQ, Jung Y, Selvam RP. Model condensation for nonclassically damped systems-part I: static condensation. Mechanical Systems and Signal Processing, 2003, 17(5):1003-1016
[14]
48 Qu ZQ, Selvam RP, Jung Y. Model condensation for nonclassically damped systems-part II: iterative schemes for dynamic condensation. Mechanical Systems and Signal Processing, 2003, 17(5): 1017-1032
[15]
49 Qu ZQ, Selvam RP. Insight into the dynamic condensation technique of non-classically damped models. Journal of Sound and Vibration, 2004, 272(3-5): 581-606
[16]
50 O'Callahan JC. A procedure for an improved reduced system (IRS) model. The 7th International Model Analysis Conference. Las Vegas, 1989
[17]
51 Kidder RL. Reduction of structural frequency equations. AIAA Journal, 1973, 11(6): 892
[18]
52 Friswell MI, Garvey SD, Penny JET. Model reduction using dynamic and Iterated IRS techniques. Journal of Sound and Vibration, 1995, 186(2): 311-323
[19]
53 Friswell MI, Garvey SD, Penny JET. The convergence of the iterated IRS Methods. Journal of Sound and Vibration, 1998, 211(1): 123-132
[20]
54 Kim KO, Choi YJ. Energy method for selection of degrees of freedom in Condensation. AIAA Journal, 2000, 38(7):1253-1259
[21]
55 Cho M, Kim H. Element-based node selection method for reduction of eigenvalue problems. AIAA Journal, 2004,42(8): 1677-1684
[22]
56 Kim H, Cho M. Two-level scheme for selection of primary degrees of freedom and semi-analytic sensitivity based on the reduced system. Computer Methods in Applied Mechanics and Engineering, 2006, 195(33-36): 4244-4268
[23]
57 Kim H, Cho M. Sub-domain optimization of multi-domain structure constructed by reduced system based on the primary degrees of freedom. Finite Elements in Analysis and Design, 2007, 43(11-12): 912-930
[24]
58 Ong JH. Improved automatic masters for eigenvalue economization. Finite Elements in Analysis and Design, 1987,3(2): 149-160
[25]
59 Bouhaddi N, Fillod R. A method for selecting master DOF in dynamic substructuring using the Guyan condensation method. Computers and Structures, 1992, 45(5-6): 941-946
[26]
60 Wilson EL, Yuan MW, Dickens JM. Dynamic analysis by direct superposition of Ritz vectors. Earthquake Engineering and Structural Dynamics, 1982, 10(6): 813-821
[27]
61 王勖成. 有限单元法. 北京: 清华大学出版社, 2004
[28]
62 Nour-Omid B, Clough RW. Dynamic analysis of structures using lanczos coordinates. Earthquake Engineering and Structural Dynamics, 1984, 12(4): 565-577
[29]
63 Gu JM, Ma ZD, Hulbert GM. A new load-dependent Ritz vector method for structural dynamics analysis: quasistatic Ritz vectors. Finite Elements in Analysis and Design, 2000, 36(3-4): 261-278
[30]
64 林家浩,曲乃泗,孙焕纯. 计算结构动力学. 北京: 高等教育出版社, 1990
[31]
65 Hurty WC. Dynamic analysis of structural systems using component Modes. AIAA Journal, 1965, 3(4): 678-685
[32]
66 Craig JRR, Bampton MCC. Coupling of substructures for dynamic Analyses. AIAA Journal, 1968, 6(7): 1313-1319
68 Hou SN. Review of modal synthesis techniques and a new approach. Shock and Vibration Bulletin, 1969, 40(4): 25-39.
[35]
69 MacNeal RH. A hybrid method for component mode synthesis. Computers and Structures, 1971, 1(4): 582-601
[36]
70 Leung AYT. A simple dymamic substructure method. Earthquake Engineering and Structural Dynamics, 1988,16(6): 827-837
[37]
71 Suarez LE, Singh MP. Improved fixed interface method for modal Synthesis. AIAA Journal, 1992, 30(12): 2952-2958
[38]
72 Shyu WH, Ma ZD, Hulbert GM. A new component mode synthesis method: quasi-static mode compensation. Finite Elements in Analysis and Design, 1997, 24(4): 271-281
[39]
73 Craig JRR. Substructure methods in vibration. Journal of Vibration and Acoustics, 1995, 117(Special): 207-213
88 Wang WS, Cheng GD, Li QH. Fast dynamic performance optimization of complicated beam-type structures based on two new reduced physical models. Engineering Optimization, 2013, 45(7): 835-850
[55]
89 Erasmo C, Marco P, Alberto V. Advanced beam formulations for free-vibration analysis of conventional and joined wings. American Society of Civil Engineers, 2012, 25(2):282-293
[56]
90 Moore BC. Principal component analysis in linear systems controllability, observability, and model reduction. IEEE Transactions on Automatic Control, 1981, 26(1): 17-32
[57]
91 Pernebo L, Silverman LM. Model reduction via balanced state space representations. IEEE Transactions on Automatic Control, 1982, 27 (2): 382-387
[58]
92 Kokotovic PV, O'Malley JRE, Sannuti P. Singular perturbations and order reduction in control theory: an overview. Automatica, 1976, 12(2): 123-132
[59]
93 Saksena VR, O'Reilly J, Kokotovic PV. Singular perturbations and time-scale methods in control theory: survey 1976-1983. Automatica, 1984, 20(3): 273-293
[60]
94 Wilson DA. Model reduction for multivariable systems. International Journal of Control, 1974, 20(1): 57-64
[61]
95 Skelton RE, Yousuff A. Component cost analysis of large scale systems. International Journal of Control, 1983,37(2): 285-304
[62]
96 Freund RW. Krylov-subspace methods for reduced-order modeling in circuit simulation. Journal of Computational and Applied Mathematics, 2000, 123(1-2): 395-421
[63]
97 Bai ZJ. Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems. Applied Numerical Mathematics, 2002, 43(1-2): 9-44
[64]
98 Freund RW. Model reduction methods based on Krylov subspaces. Acta Numerica, 2003, 12: 267-319
[65]
1 Box GEP, Wilson KB. On the experimental attainment of optimum conditions (with discussion). Journal of Royal Statistical Society, 1951, B13: 1-45
[66]
2 Hill WJ, Hunter WG. A review of response surface methodology: a literature survey. Technometrics, 1966, 8(4): 571-590
10 Knill DL, Giunta AA, Baker CA, et al. Multidisciplinary HSCT configuration design using response surface approximations of super soniceuler aerodynamics. AIAA Paper 1998-0905
[75]
11 Giunta AA. Aircraft multidisciplinary design optimization using design of experiments theory and response surface modeling methods. [PhD Thesis]. Blacksburg:Virginia Polytechnic Institute and State University, 1997
[76]
12 Roux WJ, Stander N, Haftka RT. Response surface approximations for structural optimization. International Journal for Numerical Methods in Engineering, 1998, 42(3): 517-534
[77]
13 Kim C, Wang S, Choi KK. Efficient response surface modeling by using moving least-squares method and sensitivity. AIAA Journal, 2005, 43(11): 2404-2411
[78]
14 Yang RJ, Wang BP, Wang N, et al. Metamodeling development for vehicle frontal impact simulation. Journal of Mechanical Design, 2005, 127(5): 1014-1020
18 Kim C, Choi KK. Reliability-based design optimization using response surface method with prediction interval estimation. ASME Journal of Mechanical Design, 2008,130(12): 121401-1-12
[83]
19 Goel T, Vaidyanathan R, Haftka RT, et al. Response surface approximation of pareto optimal front in multiobjective optimization. Computer Methods in Applied Mathematics and Engineering, 2007, 196(4-6): 879-893
[84]
20 Gogu C, Haftka RT, Bapanapalli SK, et al. Dimensionality reduction approach for response surface approximations: application to thermal design. AIAA Journal, 2009,47(7): 1700-1708
23 Simpson TW, Mauery TM, Korte JJ, et al. Comparison of response surface and Kriging models for multidisciplinary design optimization. AIAA Paper 1998-4755
27 Zhao L, Choi KK, Lee I. Metamodeling method using dynamic Kriging for design optimization. AIAA Journal,2011, 49(9): 2034-2046
[92]
28 Matthew Z. Neural Networks in Atificial Intelligence. New York: Ellis Horwood Limited, 1990
[93]
29 Varadarajan S, Chen W, Pelka C. Robust concept exploration of propulsion systems with enhanced model approximation capabilities. Engineering Optimization, 2000,32(3): 309-334
