Abstract
Measured force-displacement sensing data are analyzed to create nonlinear hysteretic models for elastic sliding bearings and steel dampers. These data were collected during full-scale experimental tests of a base-isolated structure at Japan’s National Research Institute for Earth Science and Disaster Resilience (NIED) “E-Defense” Hyogo Earthquake Engineering Research Center in 2013 that employed historical and synthetic earthquake inputs. Several models are explored for each isolation-layer device, including Coulomb friction models for the elastic sliding bearings and Bouc-Wen hysteresis models for both devices. Parameters for each device model are estimated via constrained nonlinear optimization to minimize model prediction error using testing data. The resulting models are applied to data from other seismic tests to evaluate the models’ ability to provide accurate force predictions. The model for the steel dampers demonstrates the capacity to be generalized across seismic excitations and devices, whereas the model for the elastic sliding bearing reproduces well its behavior during other seismic excitations but is limited to the device to which it was calibrated. The residual error between the model predictions and measurements does not contribute a significant degree of variance in the model parameter estimates.
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Data Availability Statement
The final models developed herein—the linear models of the rubber bearings (Table 2), the final ESB2 model [Eq. (4)], time-varying Case 3 (Table 3), and the final SDP1 model Case D (Table 5)—are available in a repository online in accordance with funder data retention policies (Brewick et al. 2019).
Acknowledgments
This work was made possible by the generosity of numerous researchers at the NEID, who shared their facilities, resources, and data from the E-Defense tests. The assistance of Professors Taichiro Okazaki (Hokkaido University), Narutoshi Nakata (Tokushima University), and Richard Christenson (University of Connecticut), and discussions with them about this isolated structure, is gratefully acknowledged. The authors gratefully acknowledge support of this work by the National Science Foundation through awards CMMI 11-33023 and 13-44937 and by the University of Southern California through a Viterbi Postdoctoral Fellowship. Any opinions, findings, and conclusions or recommendations expressed herein are those of the authors and do not necessarily reflect the views of the National Science Foundation or the University of Southern California.
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©2020 American Society of Civil Engineers.
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Received: Aug 6, 2019
Accepted: Dec 17, 2019
Published online: Sep 2, 2020
Published in print: Nov 1, 2020
Discussion open until: Feb 2, 2021
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