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Volumn 261, Issue 2, 2003, Pages 365-371

Spectral density of an oscillator with power law damping excited by white noise

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DAMPING; FOURIER TRANSFORMS; LINEARIZATION; MONTE CARLO METHODS; OSCILLATORS (MECHANICAL); PROBABILITY DENSITY FUNCTION; STATE SPACE METHODS; STIFFNESS; VECTORS; WHITE NOISE;

EID: 0037457067     PISSN: 0022460X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-460X(02)01183-5     Document Type: Letter
Times cited : (22)

References (5)
  • 1
    • 0033098922 scopus 로고    scopus 로고
    • Local similarity in non-linear random vibration
    • S. Krenk, J.B. Roberts, Local similarity in non-linear random vibration, Journal of Applied Mechanics 66 (1999) 225-235
    • (1999) Journal of Applied Mechanics , vol.66 , pp. 225-235
    • Krenk, S.1    Roberts, J.B.2
  • 2
    • 0036522205 scopus 로고    scopus 로고
    • Effective system properties and spectral density in random vibration with parametric excitation
    • S. Krenk, Y.K. Lin, F. Rüdinger, Effective system properties and spectral density in random vibration with parametric excitation, Journal of Applied Mechanics 69 (2002) 161-170.
    • (2002) Journal of Applied Mechanics , vol.69 , pp. 161-170
    • Krenk, S.1    Lin, Y.K.2    Rüdinger, F.3
  • 3
    • 0002239837 scopus 로고
    • On the response of non-linear oscillators to stochastic excitation
    • T.K. Caughey, On the response of non-linear oscillators to stochastic excitation, Probabilistic Engineering Mechanics 1 (1986) 2-4.
    • (1986) Probabilistic Engineering Mechanics , vol.1 , pp. 2-4
    • Caughey, T.K.1
  • 5
    • 0035399515 scopus 로고    scopus 로고
    • Non-parametric system identification from non-linear stochastic response
    • F. Rüdinger, S. Krenk, Non-parametric system identification from non-linear stochastic response, Probabilistic Engineering Mechanics 16 (2001) 233-243.
    • (2001) Probabilistic Engineering Mechanics , vol.16 , pp. 233-243
    • Rüdinger, F.1    Krenk, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.