Effect of Loading Rate on Hysteresis Response of R/C Framed Shearwalls

Matsuoka, Yoshinori; Esaki, Fumiya; Ono, M.

doi:10.3130/aijs.74.2085

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hysteretic test results by various researchers 33–65 on a total of 108 single‐story, one‐bay reinforced concrete wall specimens under cyclic loading were collected by the authors to calibrate the parameters for the current study. The majority of the specimens collected by the authors were extracted from the SERIES Database 3 and the rest of the test data was collected independently by the authors.…”

Section: Experimental Rc Wall Database For Optimizationmentioning

confidence: 99%

Parameter optimization for pivot hysteresis model for reinforced concrete walls with different failure modes

Ling,

Mogili,

Hwang

et al. 2023

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

Reinforced concrete structural walls are major vertical lateral load‐resisting members in reinforced concrete structures located in seismic regions. It is important to understand and evaluate the hysteresis behavior of these members for an efficient earthquake‐resistant design. Among the various models available for estimating this hysteretic behavior, the Pivot hysteresis model, which models hysteretic behavior through parameters α and β, respectively, representing the unloading stiffness and pinching behavior, has been effective and efficient for use with columns. In this paper, an effort is made to extend the application of the Pivot hysteresis model to reinforced concrete walls. Key variabratiosuch as axial load ratio, wall height‐to‐length ratio, web reinforcement indices, boundary element reinforcement indices, and length‐to‐effective thickness ratio were considered to derive expressions for α and β suitable for walls. Equations for α and β were calibrated through the hysteretic test data of 108 wall specimens subjected to cyclic loading and exhibiting different failure modes. The calibration is based on the optimization of energy dissipation for specimens from the collated database—a numerically complex task achieved through a superior optimization technique known as Simulated Annealing. The proposed formulations showed reasonably good accuracy in predicting complex hysteretic responses when verified against an extensive database of wall test specimens with flexural and shear modes of failure.

show abstract

Section: Experimental Rc Wall Database For Optimizationmentioning

confidence: 99%