Important issues and suggested best practices in simulating structural collapse due to earthquakes: modeling decisions, model calibration, numerical solution algorithms, and uncertainty propagation

Abstract eng:
This paper discusses the key aspects of simulating structural collapse due to earthquakes using nonlinear dynamic analysis. Emphasis is on specific modeling assumptions associated with the significant strength and stiffness degradation up to the onset of collapse. Various approaches to calibrate models to experimental data are examined to illustrate the importance of accurately distinguishing between in-cycle versus cyclic strength and stiffness deterioration. A key challenge in this regard is that existing experimental data is often insufficient to uniquely calibrate nonlinear models, such that considerable judgment must be exercised in the model calibration. The paper also discusses numerical solution algorithms for obtaining robust, reasonable simulations of collapse, and techniques for avoiding numerical problems associated with a sparse mass matrix. The paper closes with notes on some of the future research needs to simulating structural collapse.

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