Abstract

AbstractAllowing structures to rock during an earthquake can effectively provide base isolation at a relatively small cost. Rocking limits the base shear demand and provides self‐centering, but the rocking response depends on energy dissipation caused by interaction with the soil and impacts during re‐centering. This paper addresses the computational modeling of buildings that have either been designed to rock on the soil beneath their foundation (foundation rocking) or at the foundation–structure interface (structural rocking). Within OpenSees, foundation and structural rocking were modeled using a beam‐on‐a‐nonlinear‐Winkler‐foundation model (BNWF) combined with flat‐slider elements for footing–soil and superstructure–footing interactions, respectively. The modified with flat‐slider elements BNWF model (mBNWF) involves an uplift‐dependent stiffness and viscous damping for both vertical and horizontal directions, and a friction–vertical force coupling. The proposed computational model was used to simulate an extensive set of centrifuge tests involving both structural rocking and foundation rocking with sequential excitations. Generally, the proposed modeling approach, without calibration of built‐in parameters, adequately captured the response observed in centrifuge experiments. More specifically, the modeling captured the response amplitude and waveform of story accelerations and building rocking angle in most cases, but including potential nonlinear behavior caused by previous ground excitations was in some cases critical to obtain reasonable predictions. This was more profound for foundation rocking due to its inherent dependency on the soil strength and energy dissipation; for structural rocking previous nonlinear response primarily affected the transition time between full contact and rocking, but had a smaller effect on the prediction of maximum response.

Highlights

  • Soil conditions play an important role in the earthquake response of structures, and inclusion of soil can either have a beneficial[1,2] or detrimental effect[3,4] on the predicted response

  • Coefficients cx and cy were distributed across the friction-gap elements of mBNWF model, so that each element carries a fraction of the coefficients cx and cy in the vertical direction, and in the lateral direction, respectively

  • The computational response was compared against the response of two flexible building models with spread footings on dry sand that were subjected to sequences of earthquake excitations in centrifuge conditions

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Summary

INTRODUCTION

Soil conditions play an important role in the earthquake response of structures, and inclusion of soil can either have a beneficial[1,2] or detrimental effect[3,4] on the predicted response. Accurate computational modeling of dynamic soil–structure interaction (SSI) is important. Numerous researchers have demonstrated that allowing a structure to uplift during earthquake response can be beneficial,[5,6] which has generated the need for accurate computational tools that describe the dynamic superstructure–foundation interaction. A key difference of the two rocking types stems from the different energy dissipation mechanisms that are provided. This paper addresses the computational modeling of structural and foundation rocking using OpenSees,[9] by simulating the response of two different types of buildings under different earthquake excitations. To induce structural rocking and allow uplift above the foundation, one model was designed with no connection between the footings and its columns, while the other was designed with a fixed connection between the columns and the footings to provoke footing uplift and rocking below the foundation level

Modeling approaches for foundation rocking
Modeling approaches for structural rocking
Building model details and instrumentation
Sand density and input motions
MODELING ASSUMPTIONS
Modeling of superstructures
Modeling of column–footing connection for structural rocking
Modeling of soil–footing interface
Building and soil properties
Mesh properties for soil
Simulation with sequential excitations and variable soil friction angle
Building response to low-magnitude excitation for dense sand
Building response to low-frequency excitation for dense and loose sand
Building response to pulse-like excitations for dense sand
Overall model performance
CONCLUSIONS
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