Assessment of Strength Reduction Factor on Concrete Moment Frames According to the New Venezuelan Seismic Code

Mata-Lemus, Ramon; Idrees-Rustom, Ahmad; Sanchez-Rodriguez, Javier; Torres-Moreno, Ronald; Nunez-Castellanos, Eduardo; Bustamante-Laissle, Guillermo

Abstract

Nonlinear static analysis is a validated tool for the seismic evaluation of existing and new structures, specifically for reinforced concrete buildings. In order to assess the performance of reinforced concrete frames designed according to the new Venezuelan seismic code, configurations of low-, medium-, and high-rise concrete buildings are subjected to 20 different load patterns considering the nonlinear behavior according to FEMA P695. A total of 140 concrete frame models were analyzed using modal response spectrum analysis and nonlinear static pushover analysis. The parameters considered for analyzing the models were the response reduction factor (R), the overstrength factor (R-omega), and the ductility factor (R-mu). The results showed a performance controlled by ductile failure mechanisms in low-rise models unlike combined failure mechanisms with columns with plastic hinge in high-rise models. Reduction factor values between 4 and 14 were obtained. In addition, the pushover curves were affected by the load patterns; therefore, it was necessary to identify the representative patterns, refusing the rest of the patterns. A statistical adjustment was performed using a log-normal distribution. The strength reduction factor specified in the new Venezuelan code was higher than the values obtained for the 95% confidence levels according to the distribution assumed in the reinforced concrete frames models. Finally, the strength reduction factor more representative is R = 4.

Más información

Título según WOS: Assessment of Strength Reduction Factor on Concrete Moment Frames According to the New Venezuelan Seismic Code
Título de la Revista: BUILDINGS
Volumen: 12
Número: 3
Editorial: MDPI
Fecha de publicación: 2022
DOI:

10.3390/BUILDINGS12030255

Notas: ISI