Study on identification of damping system based on motion state

A correct identification for damping system is the foundation to select the dynamic analysis method. In this study, the differences between motion states in different damping systems are investigated initially. A theoretical identification method based on motion state is proposed with the spatial continuity of the motion, and the coordination of the motion state is used as the objective function. In addition, dynamic simulation results of a set of plates are compared to clarify the physical interpretation of the identification method. The method is applied to three practical examples with recognized damping system, including the motion of seismic isolation bearings, whiplash effect, semi-active controlling systems, and soil–structure interaction system. The analysis results verify that the proposed identification method is feasible in practical engineering.

[1]  Cong Cong Using active tuned mass dampers with constrained stroke to simultaneously control vibrations in wind turbine blades and tower , 2018, Advances in Structural Engineering.

[2]  Lei Wang,et al.  Inverse system method for dynamic loads identification via noisy measured dynamic responses , 2016 .

[3]  Canxing Qiu,et al.  Progressive collapse analysis of long-span transmission tower-line system under multi-component seismic excitations , 2017 .

[4]  Qian Zhang,et al.  Study on low-velocity impact of embedded and co-cured composite damping panels with numerical simulation method , 2014 .

[5]  Albert C. J. Luo,et al.  Discontinuous Dynamical Systems on Time-varying Domains , 2009 .

[6]  Widodo Rocking of multistorey buildings. , 1995 .

[7]  Alexander F. Vakakis,et al.  Large-scale experimental evaluation and numerical simulation of a system of nonlinear energy sinks for seismic mitigation , 2014 .

[8]  Hong Hao,et al.  Seismic Response Analysis of Multiple-Frame Bridges with Unseating Restrainers considering Ground Motion Spatial Variation and SSI , 2015 .

[9]  Canxing Qiu,et al.  Wind-induced collapse analysis of long-span transmission tower–line system considering the member buckling effect , 2018, Advances in Structural Engineering.

[10]  Albert C. J. Luo,et al.  Periodic motions in a simplified brake system with a periodic excitation , 2009 .

[11]  L. G. Jaeger,et al.  Dynamics of structures , 1990 .

[12]  Zhiying Zhang,et al.  Experimental study on damping characteristics of soil-structure interaction system based on shaking table test , 2017 .

[13]  J. Cortés Discontinuous dynamical systems , 2008, IEEE Control Systems.

[14]  Chunlin Wang,et al.  Dynamic Responses of Core-Tubes with Semi-Flexible Suspension Systems Linked by Viscoelastic Dampers under Earthquake Excitation , 2011 .

[15]  Alessandro De Stefano,et al.  A General Nonlinear System Identification Method Based upon Time-Varying Trend of Instantaneous Frequencies and Amplitudes , 2012 .

[16]  Emad Gad,et al.  Performance of Distributed Multiple Viscoelastic Tuned Mass Dampers for Floor Vibration Applications , 2012 .

[17]  Ming Gu,et al.  Wind Loads and Wind-Induced Responses of Guangzhou New TV Tower , 2010 .

[18]  Hongyang Wei,et al.  Study on the effect of the motion state of interface on the damping characteristics of SSI system , 2018 .

[19]  Lei Wang,et al.  An inverse method for distributed dynamic load identification of structures with interval uncertainties , 2019, Adv. Eng. Softw..

[20]  Mehdi Behzad,et al.  Modal-based damage identification for the nonlinear model of modern wind turbine blade , 2016 .

[21]  James M. Kelly,et al.  The influence of preform on the modes of vibrating beams , 1990 .

[22]  K. T. Chau,et al.  Nonlinear seismic soil–pile–structure interactions: Shaking table tests and FEM analyses , 2009 .

[23]  Niranjan Desai Evaluation of code provisions for design of medium rise buildings supporting brick veneer wall systems under the effect of in-plane seismic loads , 2017 .

[24]  Hua Zhang,et al.  Tuned mass damper system of high-rise intake towers optimized by improved harmony search algorithm , 2017 .

[25]  Tomaso Trombetti,et al.  On non‐linear dynamic analysis in the frequency domain: Algorithms and applications , 1994 .

[26]  Y. T. Yang,et al.  Behavior of the Tree Branches, Trunk, and Root Anchorage by Nonlinear Finite Element Analysis , 2005 .

[27]  Mohammad Ali Ghannad,et al.  Blind identification of soil–structure systems , 2013 .

[28]  Lewei Tong,et al.  Wind-induced response analysis of wind turbine tubular towers with consideration of rotating effect of blades , 2020, Advances in Structural Engineering.