TY  - EJOU
AU  - Wang, Jian 
AU  - Fang, Ming 
AU  - Li, Hui 

TI  - An Adaptive Substructure-Based Model Order Reduction Method for Nonlinear Seismic Analysis in OpenSees
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2020
VL  - 124
IS  - 1
SN  - 1526-1506

AB  - Structural components may enter an initial-elastic state, a plastic-hardening state
and a residual-elastic state during strong seismic excitations. In the residual-elastic state,
structural components keep in an unloading/reloading stage that is dominated by a tangent
stiffness, thus structural components remain residual deformations but behave in an elastic
manner. It has a great potential to make model order reduction for such structural
components using the tangent-stiffness-based vibration modes as a reduced order basis. In this
paper, an adaptive substructure-based model order reduction method is developed to perform
nonlinear seismic analysis for structures that have a priori unknown damage distribution. This
method is able to generate time-varying substructures and make nonlinear model order
reduction for substructures in the residual-elastic phase. The finite element program OpenSees
has been extended to provide the adaptive substructure-based nonlinear seismic analysis. At
the low level of OpenSees framework, a new abstract layer is created to represent the
time-varying substructures and implement the modeling process of substructures. At the high
level of OpenSees framework, a new transient analysis class is created to implement the
solving process of substructure-based governing equations. Compared with the conventional
time step integration method, the adaptive substructure-based model order reduction method
can yield comparative results with a higher computational efficiency.
KW  - Adaptive substructure modeling
KW  -  model order reduction
KW  -  nonlinear seismic analysis
KW  -  computer programming
KW  -  OpenSees

DO  - 10.32604/cmes.2020.09470