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Modeling criteria of older non-ductile concrete frame–wall buildings

  • P. F. ParraEmail author
  • C. A. Arteta
  • J. P. Moehle
S.I.: Nonlinear Modelling of Reinforced Concrete Structural Walls

Abstract

The purpose of seismic provisions included in modern building codes is to obtain a satisfactory structural performance of buildings during earthquakes. However, in the United States and elsewhere, there are large inventories of buildings designed and constructed several decades ago, under outdated building codes. Some of these buildings are classified as non-ductile buildings. Currently, under the ATC-78 project, a methodology is being developed to identify seismically hazardous frame–wall buildings through a simple procedure that does not require full nonlinear analyses by the responsible engineer. This methodology requires the determination of the controlling plastic collapse mechanism, the base shear strength, and the ratio between the story drift ratio and the roof drift ratio, called parameter \(\alpha\), at collapse level. The procedure is calibrated with fully inelastic nonlinear analyses of archetype buildings. In this paper we first introduce an efficient scheme for modeling frame–wall buildings using the software OpenSees. Later, the plastic collapse mechanism, the base shear strength, and values of \(\alpha\) are estimated from nonlinear static and dynamic analyses considering a large suite of ground-motion records that represent increasing hazard levels. The analytical experiment included several frame–wall combinations in 4 and 8-story buildings, intended to represent a broad range of conditions that can be found in actual buildings, where the simplified methodology to evaluate the risk of collapse can be applicable. Analysis results indicate that even walls of modest length may positively modify the collapse mechanism of nonductile bare frames preventing soft story failures.

Keywords

Non-ductile buildings Nonlinear analysis Plastic collapse mechanism Base shear strength Hazard levels 

Notes

Acknowledgements

The research presented in this paper has been supported by the Federal Emergency Management Agency through the ATC 78 Project. Their support is gratefully acknowledged. Opinions, findings, conclusions and recommendations in this paper are those of the authors and do not necessarily represent those of the sponsor or the Applied Technology Council.

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Facultad de Ingeniería y CienciasUniversidad Adolfo IbáñezPeñalolén, SantiagoChile
  2. 2.Departamento de Ingeniería Civil y Ambiental, Universidad del NorteBarranquillaColombia
  3. 3.Ed and Diane Wilson Professor of Structural Engineering, Department of Civil and Environmental EngineeringUniversity of California BerkeleyBerkeleyUSA

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