Theoretical foundation, methods, and criteria for calibrating human vibration models using frequency response functions

被引:23
|
作者
Dong, Ren G. [1 ]
Welcome, Daniel E. [1 ]
McDowell, Thomas W. [1 ]
Wu, John Z. [1 ]
机构
[1] NIOSH, Engn & Control Technol Branch, Morgantown, WV 26505 USA
关键词
HAND-ARM SYSTEM; WHOLE-BODY VIBRATION; TRANSMITTED VIBRATION; BIODYNAMIC RESPONSES; APPARENT MASS; BIOMECHANICAL MODEL; VERTICAL VIBRATION; TRANSMISSIBILITY; EXPOSURE; FINGERS;
D O I
10.1016/j.jsv.2015.06.047
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
While simulations of the measured biodynamic responses of the whole human body or body segments to vibration are conventionally interpreted as summaries of biodynamic measurements, and the resulting models are considered quantitative, this study looked at these simulations from a different angle: model calibration. The specific aims of this study are to review and clarify the theoretical basis for model calibration, to help formulate the criteria for calibration validation, and to help appropriately select and apply calibration methods. In addition to established vibration theory, a novel theorem of mechanical vibration is also used to enhance the understanding of the mathematical and physical principles of the calibration. Based on this enhanced understanding, a set of criteria was proposed and used to systematically examine the calibration methods. Besides theoretical analyses, a numerical testing method is also used in the examination. This study identified the basic requirements for each calibration method to obtain a unique calibration solution. This study also confirmed that the solution becomes more robust if more than sufficient calibration references are provided. Practically, however, as more references are used, more inconsistencies can arise among the measured data for representing the biodynamic properties. To help account for the relative reliabilities of the references, a baseline weighting scheme is proposed. The analyses suggest that the best choice of calibration method depends on the modeling purpose, the model structure, and the availability and reliability of representative reference data Published by Elsevier Ltd.
引用
收藏
页码:195 / 216
页数:22
相关论文
共 50 条
  • [1] Tensor methods for MIMO decoupling using frequency response functions
    Stoev, Julian
    Oomen, Tom
    Schoukens, Johan
    IFAC PAPERSONLINE, 2016, 49 (21): : 447 - 453
  • [2] A new method of determining vibration criteria for a precision equipment using frequency response function
    Lee, HK
    Park, HD
    Choi, H
    Kim, DH
    Kim, SS
    INTER-NOISE 96 - THE 1996 INTERNATIONAL CONGRESS ON NOISE CONTROL ENGINEERING, 25TH ANNIVERSARY CONGRESS - LIVERPOOL, PROCEEDINGS, BOOKS 1-6: NOISE CONTROL - THE NEXT 25 YEARS, 1996, : 1253 - 1262
  • [3] Measurement of ground-to-building frequency response functions for assessment of human exposure to vibration from railway vibration
    Sica, G.
    Moorhouse, A.
    Woodcock, J.
    Peris, E.
    Sharp, C.
    Waddington, D. C.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012), 2012, : 2929 - 2943
  • [4] Theoretical relationship between vibration transmissibility and driving-point response functions of the human body
    Dong, Ren G.
    Welcome, Daniel E.
    McDowell, Thomas W.
    Wu, John Z.
    JOURNAL OF SOUND AND VIBRATION, 2013, 332 (24) : 6193 - 6202
  • [5] Methods for comparing theoretical models parameterized with field data using biological criteria and Sobol analysis
    Lusardi, Leo
    Andre, Eliot
    Castaneda, Irene
    Lemler, Sarah
    Lafitte, Pauline
    Zarzoso-Lacoste, Diane
    Bonnaud, Elsa
    ECOLOGICAL MODELLING, 2024, 493
  • [6] Tensor methods for MIMO decoupling and control design using frequency response functions
    Stoev, Julian
    Ertveldt, Julien
    Oomen, Tom
    Schoukens, Johan
    MECHATRONICS, 2017, 45 : 71 - 81
  • [7] Calibrating Agent-Based Models using Uncertainty Quantification Methods
    McCulloch, Josie
    Ge, Jiaqi
    Ward, Jonathan A.
    Heppenstall, Alison
    Polhill, J. Gareth
    Malleson, Nick
    JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2022, 25 (02):
  • [8] Improved denoising methods for smoothing frequency response functions
    Seymour, John A.
    Avitabile, Peter
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 204
  • [9] Frequency response functions and human pilot modelling
    ANON
    1971,
  • [10] FREQUENCY-RESPONSE FUNCTIONS FOR NONLINEAR RATIONAL MODELS
    ZHANG, H
    BILLINGS, SA
    ZHU, QM
    INTERNATIONAL JOURNAL OF CONTROL, 1995, 61 (05) : 1073 - 1097