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Modeling viscous damping in nonlinear response history analysis of buildings for earthquake excitation
Author(s) -
Chopra Anil K.,
McKenna Frank
Publication year - 2016
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/eqe.2622
Subject(s) - damping matrix , damping torque , nonlinear system , structural engineering , damping ratio , thermoelastic damping , magnetic damping , superposition principle , stiffness , spurious relationship , matrix (chemical analysis) , opensees , frequency response , physics , mechanics , engineering , stiffness matrix , mathematical analysis , vibration , mathematics , finite element method , acoustics , materials science , voltage , thermal , composite material , direct torque control , quantum mechanics , statistics , meteorology , induction motor , electrical engineering
Summary The Rayleigh damping model, which is pervasive in nonlinear response history analysis (RHA) of buildings, is shown to develop ‘spurious’ damping forces and lead to inaccurate response results. We prove that a viscous damping matrix constructed by superposition of modal damping matrices—irrespective of the number of modes included or values assigned to modal damping ratios—completely eliminates the ‘spurious’ damping forces. This is the damping model recommended for nonlinear RHA. Replacing the stiffness‐proportional part of Rayleigh damping by the tangent stiffness matrix is shown to improve response results. However, this model is not recommended because it lacks a physical basis and has conceptual implications that are troubling: hysteresis in damping force–velocity relationship and negative damping at large displacements. Furthermore, the model conflicts with the constant‐damping model that has been the basis for fundamental concepts and accumulated experience about the inelastic response of structures. With a distributed plasticity model, the structural response is not sensitive to the damping model; even the Rayleigh damping model leads to acceptable results. This perspective on damping provides yet another reason to employ the superior distributed plasticity models in nonlinear RHA. OpenSees software has been extended to include a damping matrix defined as the superposition of modal damping matrices. Although this model leads to a full populated damping matrix, the additional computational demands are demonstrated to be minimal. Copyright © 2015 John Wiley & Sons, Ltd.