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PRESS-based EFOR algorithm for the dynamic parametrical modeling of nonlinear MDOF systems
Haopeng LIU, Yunpeng ZHU, Zhong LUO, Qingkai HAN
《机械工程前沿(英文)》 2018年 第13卷 第3期 页码 390-400 doi: 10.1007/s11465-017-0459-5
In response to the identification problem concerning multi-degree of freedom (MDOF) nonlinear systems, this study presents the extended forward orthogonal regression (EFOR) based on predicted residual sums of squares (PRESS) to construct a nonlinear dynamic parametrical model. The proposed parametrical model is based on the non-linear autoregressive with exogenous inputs (NARX) model and aims to explicitly reveal the physical design parameters of the system. The PRESS-based EFOR algorithm is proposed to identify such a model for MDOF systems. By using the algorithm, we built a common-structured model based on the fundamental concept of evaluating its generalization capability through cross-validation. The resulting model aims to prevent over-fitting with poor generalization performance caused by the average error reduction ratio (AERR)-based EFOR algorithm. Then, a functional relationship is established between the coefficients of the terms and the design parameters of the unified model. Moreover, a 5-DOF nonlinear system is taken as a case to illustrate the modeling of the proposed algorithm. Finally, a dynamic parametrical model of a cantilever beam is constructed from experimental data. Results indicate that the dynamic parametrical model of nonlinear systems, which depends on the PRESS-based EFOR, can accurately predict the output response, thus providing a theoretical basis for the optimal design of modeling methods for MDOF nonlinear systems.
关键词: MDOF dynamic parametrical model NARX model PRESS-based EFOR cantilever beam
Regional seismic-damage prediction of buildings under mainshock–aftershock sequence
Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG
《工程管理前沿(英文)》 2021年 第8卷 第1期 页码 122-134 doi: 10.1007/s42524-019-0072-x
关键词: regional seismic damage prediction city-scale nonlinear time-history analysis mainshock–aftershock sequence multiple degree-of-freedom (MDOF) model 2014 Ludian earthquake
标题 作者 时间 类型 操作
PRESS-based EFOR algorithm for the dynamic parametrical modeling of nonlinear MDOF systems
Haopeng LIU, Yunpeng ZHU, Zhong LUO, Qingkai HAN
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