噪声与振动控制2019，Vol.39Issue(1)：160-165,229,7.DOI:10.3969/j.issn.1006-1355.2019.01.031
部分观测下结构质量及非线性恢复力免模型识别
Identification of Structural Mass and Model Free Nonlinear Restoring Forces with Partial Measurements
摘要
Abstract
Nonlinear restoring forces (NRF) of structures excited by strong dynamic loadings provide a direct description of the initiation and development of structural damage. However, due to the complexity of different structural nonlinearities, it is difficult to describe the nonlinear behavior of various structures by using a parametric model in advance. Moreover, it is always difficult to estimate structural mass due to the existence of live load and to measure dynamic responses at all degree-of-freedoms (DOFs) accurately for structure identification. In this study, an iterative mass and nonlinear restoring force simultaneous identification approach using partial structural dynamic responses by combining equivalent linear theory and Unscented Kalman Filter (UKF) is proposed without using any parametric model of the NRF. By introducing different magnetorheological (MR) dampers and considering different initial mass values and different nonlinear components at different locations, a multi-DOF nonlinear structure is simulated and the mass and restoring force identification is realized. And the effectiveness of the proposed approach for both NRF and mass identification is validated.关键词
振动与波/非线性恢复力/等效线性理论/无迹卡尔曼滤波/质量识别/免模型/磁流变阻尼器Key words
vibration and wave/nonlinear restoring force/equivalent linear theory/unscented Kalman filter (UKF)/mass identification/model free/MR damper分类
通用工业技术引用本文复制引用
李靖,许斌..部分观测下结构质量及非线性恢复力免模型识别[J].噪声与振动控制,2019,39(1):160-165,229,7.基金项目
国家自然科学基金资助项目(50978092) （50978092）
华侨大学研究生科研创新基金资助项目(1611404006) （1611404006）
华侨大学科研基金资助项目 （）
