A spatial model identification by using FRF data

被引：0
|
作者：
Crema, LB
Mastroddi, F
Benedetti, L
机构：
来源：
PROCEEDINGS OF THE 15TH INTERNATIONAL MODAL ANALYSIS CONFERENCE - IMAC, VOLS I AND II | 1997年 / 3089卷
关键词：
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Two general formulations for the spatial-model identification of structures are presented. The methods are based either upon the knowledge of the FRF matrix and the derivatives of its diagonal entries (i.e., driving points) with respect to the angular frequency, or upon the knowledge of cell the entries of the FRF matrix the formulations are exact also considering the presence of the damping (hysteretic or viscous damping) and also (for the first formulation) considering finite-difference formulae for the evaluation of the FRF derivatives (in this special case the method is equivalent to an. other method proposed in the past). Numerical examples on several undamped structures (discrete-system, finite-element cantilever beam, finite-element truss) with comparisons between the two formulations are included in the paper together with some issues and recommendations for the application of the methods by using experimental data.
引用
下载
收藏
页码：1284 / 1291
页数：8
相关论文
共 50 条
  • [21] FRF-based model updating using SMURF technique
    Jamshidi, E.
    Ashory, M. R.
    Ghoddosian, A.
    Nematipoor, N.
    JOURNAL OF VIBROENGINEERING, 2012, 14 (02) : 637 - 650
  • [22] MODEL CALIBRATION USING SEMICONTINUOUS SPATIAL DATA
    Chang, Won
    Konomi, Bledar A.
    Karagiannis, Georgios
    Guan, Yawen
    Haran, Murali
    ANNALS OF APPLIED STATISTICS, 2022, 16 (03): : 1937 - 1961
  • [23] FRF-based model updating using neural networks
    Neri, R.
    Arras, M.
    Coppotelli, G.
    PROCEEDINGS OF ISMA2016 INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING AND USD2016 INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS, 2016, : 3243 - 3257
  • [24] Damage detection in an offshore platform using incomplete noisy FRF data by a novel Bayesian model updating method
    Fathi, Amin
    Esfandiari, Akbar
    Fadavie, Manouchehr
    Mojtahedi, Alireza
    OCEAN ENGINEERING, 2020, 217
  • [25] An evaluation of a mixed experimental/numerical method using FRF for the identification of viscoelastic materials
    Moreau, A.
    Pagnacco, E.
    Lemosse, D.
    Borza, D.
    PROCEEDINGS OF ISMA2006: INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING, VOLS 1-8, 2006, : 2099 - 2112
  • [26] IDENTIFICATION OF USER POI IN SPATIAL DATA USING ANDROID IMPLEMENTATIONS
    Dhamodaran, S.
    Manikandan, S.
    Narendiran, P.
    2016 INTERNATIONAL CONFERENCE ON COMPUTATION OF POWER, ENERGY INFORMATION AND COMMUNICATION (ICCPEIC), 2016, : 265 - 269
  • [27] Model identification of bridges using measurement data
    Robert-Nicoud, Y
    Raphael, B
    Burdet, O
    Smith, IFC
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2005, 20 (02) : 118 - 131
  • [28] FRF based joint dynamics modeling and identification
    Mehrpouya, Majid
    Graham, Eldon
    Park, Simon S.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2013, 39 (1-2) : 265 - 279
  • [29] THE EFFECT OF CLOSE OR REPEATED EIGENVALUES ON THE UPDATING OF MODEL PARAMETERS FROM FRF DATA
    FRISWELL, MI
    PENNY, JET
    JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 1992, 114 (04): : 514 - 520
  • [30] Efficient use of short data records for FRF modeling by using fractional poles
    Barbe, Kurt
    Van Moer, Wendy
    Lauwers, Lieve
    Ionescu, Clara
    2012 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2012, : 1337 - 1342
12345