A unified approach to two types of evolutionary random response problems in engineering

被引:26
|
作者
Fang, T [1 ]
Sun, M [1 ]
机构
[1] NANJING UNIV SCI & TECHNOL,NANJING 210094,PEOPLES R CHINA
关键词
earthquake random excitation; evolutionary power spectrum; frequency response; complex modal analysis; structure; aircraft;
D O I
10.1007/s004190050134
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Response of structures to earthquake excitations and response of vehicles to road undulations are two typical evolutionary random problems in engineering. Both kinds of the evolutionary random excitations can be regarded as evolved from stationary random excitations, though through two utterly different ways. The former one may be obtained by filtering a stationary random process through a linear time-dependent system, while the latter one may result from nonlinear transformations of the argument of a stationary random process. However, the response problems due to both types of excitations have much in common. By introducing the concept of ''evolutionary frequency response'', the expressions of the response evolutionary spectra for both problems can be obtained in a unified, concise way, similar to the input/output PSD relationship in a stationary random problem. For both the evolutionary random problems, the solution procedures are all the same, but the expressions for evolutionary frequency responses are different from each other. Moreover, the evolutionary frequency responses may be interpreted as transient responses of the system subject to certain deterministic evolutionary harmonic excitations. In this sense, an evolutionary random response problem can be reduced to a deterministic response problem, Based on the complex modal analysis, a unified approach to these two response problems is derived here. The method can be applied to any linear time-invariant systems, whether they are symmetrical or not, and whether they are classically damped or not. And the method might be hopefully applied to nonlinear systems, if the statistical linearization technique is accompanied. To the knowledge of the authors, this unified approach to two types of evolutionary random response problems is the first time reported in literature.
引用
收藏
页码:496 / 506
页数:11
相关论文
共 50 条
  • [41] A unified approach to network location problems
    Nickel, S
    Puerto, J
    [J]. NETWORKS, 1999, 34 (04) : 283 - 290
  • [42] evoRF: An Evolutionary Approach to Random Forests
    Ramos, Diogo
    Carneiro, Davide
    Novais, Paulo
    [J]. INTELLIGENT DISTRIBUTED COMPUTING XIII, 2020, 868 : 102 - 107
  • [43] Random Search with Resetting: A Unified Renewal Approach
    Chechkin, A.
    Sokolov, I. M.
    [J]. PHYSICAL REVIEW LETTERS, 2018, 121 (05)
  • [44] An efficient evolutionary algorithm for engineering design problems
    Bilel, Najlawi
    Mohamed, Nejlaoui
    Zouhaier, Affi
    Lotfi, Romdhane
    [J]. SOFT COMPUTING, 2019, 23 (15) : 6197 - 6213
  • [45] An Effective Dynamic Evolutionary Algorithm for Engineering Problems
    Zhang, Qing
    Zeng, Sanyou
    Ye, Haiqing
    Li, Zhengjun
    Jing, Hongyong
    [J]. AUTOMATIC MANUFACTURING SYSTEMS II, PTS 1 AND 2, 2012, 542-543 : 294 - +
  • [46] Evolutionary programming for inverse problems in civil engineering
    Soh, CK
    Dong, YX
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2001, 15 (02) : 144 - 150
  • [47] An efficient evolutionary algorithm for engineering design problems
    Najlawi Bilel
    Nejlaoui Mohamed
    Affi Zouhaier
    Romdhane Lotfi
    [J]. Soft Computing, 2019, 23 : 6197 - 6213
  • [48] Problems of unified measurements in hydraulic engineering safety control
    Khejfits, V.Z.
    Markov, A.I.
    Brajtsev, V.V.
    [J]. Gidrotekhnicheskoe Stroitel'stvo, 1994, (01): : 14 - 17
  • [49] A Unified Approach to the Evolutionary Consequences of Genetic and Nongenetic Inheritance
    Day, Troy
    Bonduriansky, Russell
    [J]. AMERICAN NATURALIST, 2011, 178 (02): : E18 - E36
  • [50] Simulation and modeling: engineering's unified approach
    Quality Monitoring & Control
    [J]. PC AI, 2000, 14 (05): : 46 - 50