Non-linear identification of a RC element using time-frequency instantaneous estimators

被引:0
|
作者
Demarie, G. V. [1 ]
Sabia, D. [1 ]
Ceravolo, R. [1 ]
机构
[1] Politecn Torino, Dip Ingn Strutturale & Geotecn, Turin, Italy
来源
DAMAGE ASSESSMENT OF STRUCTURES VIII | 2009年 / 413-414卷
关键词
non-linear identification; time-frequency estimators; RC joints;
D O I
10.4028/www.scientific.net/KEM.413-414.531
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The identification of non-linear systems is an important topic in structural health monitoring of structures undergoing non-stationary behavior. In general, a non-linear or hysteretic response is typical for buildings, bridges, dampers and structural elements not only as a consequence of strong excitations (i. e. earthquake), but also for low to medium loading levels, due to the constitutive behavior of structural elements or joints. This paper focuses on the non-linear identification of a RC beam-column joint, modeled as a SDoF system, subjected to non-stationary loading: the technique used entails the definition of proper instantaneous estimators of the system dynamic properties by using a linear time-varying approximation of the actual system dynamics and representing the structural response in the joint time-frequency domain.
引用
收藏
页码:531 / 538
页数:8
相关论文
共 50 条
  • [1] Time-frequency characteristics of non-linear systems
    Braun, S
    Feldman, M
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 1997, 11 (04) : 611 - 620
  • [2] Performance of quadratic time-frequency distributions as instantaneous frequency estimators
    Ivanovic, VN
    Dakovic, M
    Stankovic, L
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2003, 51 (01) : 77 - 89
  • [3] Identification of coupled non-linear modes from free vibration using time-frequency representations
    Bellizzi, S
    Guillemain, P
    Kronland-Martinet, R
    JOURNAL OF SOUND AND VIBRATION, 2001, 243 (02) : 191 - 213
  • [4] A class of non-linear adaptive time-frequency transform
    Warion, Pierre
    Torresani, Bruno
    SAMPLING THEORY SIGNAL PROCESSING AND DATA ANALYSIS, 2024, 22 (02):
  • [5] Radar modulation classification using time-frequency representation and non-linear regression
    De Luigi, C
    Arquès, PY
    Lopez, JM
    Moreau, E
    RADAR PROCESSING, TECHNOLOGY, AND APPLICATIONS IV, 1999, 3810 : 62 - 69
  • [6] Non-linear frequency modulated signal detection based on time-frequency tiling
    Wang, J
    Shui, PL
    PROCEEDINGS OF THE IEEE 6TH CIRCUITS AND SYSTEMS SYMPOSIUM ON EMERGING TECHNOLOGIES: FRONTIERS OF MOBILE AND WIRELESS COMMUNICATION, VOLS 1 AND 2, 2004, : 409 - 412
  • [7] Instantaneous frequency estimation by using time-frequency distributions
    Ivanovic, V
    Dakovic, M
    Djurovic, I
    Stankovic, L
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING, 2001, : 3521 - 3524
  • [8] Bias compensation in the instantaneous frequency estimators based on the time-frequency representations and ICI algorithm
    Djurovic, Igor
    IET SIGNAL PROCESSING, 2017, 11 (06) : 765 - 770
  • [9] Photonic Instantaneous Frequency Measurement Using Non-Linear Optical Mixing
    Sarkhosh, Niusha
    Emami, Hossein
    Bui, Lam
    Mitchell, Arnan
    2008 IEEE MTT-S International Microwave Symposium Digest, Vols 1-4, 2008, : 598 - 600
  • [10] Siren noise attenuation by non-linear processing of time-frequency information
    Sepehr, Hamid
    Ahmadi, Masoud
    Brennan, Paul
    NEW ASPECTS OF SIGNAL PROCESSING AND WAVELETS, 2008, : 52 - +