Reliability assessment of RC frames rehabilitated by eccentrically braces having vertical shear link

A considerable number of existing reinforced concrete (RC) structures need to seismic rehabilitation due to several reasons such as being designed just based on gravity loading and/or having an unsatisfactory level of ductility. One of the types of steel bracing can be referred to eccentrically braced frames with a vertical link. This system has some advantages such as an increase in ductility, stiffness and lateral strength, the ability to adapt to the architecture, and also the minimum weight added to the structure. In this study, reliability analysis assessment of two existing 3-, and 9-story RC frames in two cases including original and rehabilitated with an eccentrically braced frame having a vertical link is presented. Two limit states are defined as: maximum roof displacement and maximum inter-story displacement. The seismic behavior of frames was assessed by nonlinear static pushover analysis with finite element program OpenSees in two performance levels, including collapse prevention and life safety. Five random variables represented the variability in resistance of concrete material, bars and steel profiles yield stress, beams height, columns dimension, and also bars cross-section. Sensitivity analysis was carried out to recognize the effect of random variables on the reliability index. The reliability analysis was performed by two different methods: Hasofer–Lind and Monte Carlo with 25, 100, 1000, 10,000 and 100,000 simulated samples by considering two distributions including Normal and Log-Normal. Finally, a comparison between two common reliability methods was carried out in order to select the most appropriate method for performing the best seismic performance reliability analysis of RC frames rehabilitated by the proposed system.

[1]  H. Naderpour,et al.  Experimental study on influence of proposed FRP-strengthening techniques on RC circular short columns considering different types of damage index , 2019, Composite Structures.

[2]  Amir Hossein Rafiean,et al.  Compressive strength prediction of environmentally friendly concrete using artificial neural networks , 2018 .

[3]  James L Noland,et al.  Computer-Aided Structural Engineering (CASE) Project: Decision Logic Table Formulation of ACI (American Concrete Institute) 318-77 Building Code Requirements for Reinforced Concrete for Automated Constraint Processing. Volume 1. , 1986 .

[4]  M. A. Hadianfard,et al.  Effects of semi-rigid behavior of connections in the reliability of steel frames , 2003 .

[5]  Sher Ali Mirza,et al.  Variations in Dimensions of Reinforced Concrete Members , 1979 .

[6]  Andrzej S. Nowak,et al.  Reliability of Structures , 2000 .

[7]  Iason Papaioannou,et al.  Bayesian inference with reliability methods without knowing the maximum of the likelihood function , 2018, Probabilistic Engineering Mechanics.

[8]  H. Naderpour,et al.  An experimental approach for shear strengthening of RC beams using a proposed technique by embedded through-section FRP sheets , 2020 .

[9]  Matjaž Dolšek,et al.  The impact of modelling uncertainties on the seismic performance assessment of reinforced concrete frame buildings , 2013 .

[10]  Jun Xu,et al.  Adaptive scaled unscented transformation for highly efficient structural reliability analysis by maximum entropy method , 2019, Structural Safety.

[11]  Hosein Naderpour,et al.  Shear Failure Capacity Prediction of Concrete Beam–Column Joints in Terms of ANFIS and GMDH , 2019, Practice Periodical on Structural Design and Construction.

[12]  Fatemeh Jalayer,et al.  Structural modeling uncertainties and their influence on seismic assessment of existing RC structures , 2010 .

[13]  Murat Emre Kartal,et al.  RELIABILITY ANALYSIS OF STEEL BRACED REINFORCED CONCRETE FRAMES WITH SEMI-RIGID CONNECTIONS , 2012 .

[14]  Abdellatif Khamlichi,et al.  Seismic performance reliability analysis for reinforced concrete buildings , 2011 .

[15]  Hosein Naderpour,et al.  Classification of failure modes in ductile and non-ductile concrete joints , 2019, Engineering Failure Analysis.

[17]  Hosein Naderpour,et al.  Prediction of FRP-confined compressive strength of concrete using artificial neural networks , 2010 .

[18]  M. Deaton,et al.  Response Surfaces: Designs and Analyses , 1989 .

[19]  Joel P. Conte,et al.  Reliability evaluation of reinforced concrete beams , 1994 .

[20]  A. M. Hasofer,et al.  Exact and Invariant Second-Moment Code Format , 1974 .

[21]  Joel P. Conte,et al.  Seismic Reliability Assessment of Existing R/C Flat-Slab Buildings , 1995 .

[22]  Hosein Naderpour,et al.  ANN Model for Predicting the Compressive Strength of Circular Steel-Confined Concrete , 2017 .

[23]  Quanwang Li,et al.  Moment-based evaluation of structural reliability , 2019, Reliab. Eng. Syst. Saf..

[24]  Manolis Papadrakakis,et al.  Structural reliability analyis of elastic-plastic structures using neural networks and Monte Carlo simulation , 1996 .

[25]  Bruce R. Ellingwood STATISTICAL ANALYSIS OF RC BEAM-COLUMN INTERACTION , 1977 .

[26]  Murat Dicleli,et al.  Analytical study on seismic retrofitting of reinforced concrete buildings using steel braces with shear link , 2010 .

[27]  Hosein Naderpour,et al.  Seismic Failure Probability and Vulnerability Assessment of Steel-Concrete Composite Structures , 2017 .

[28]  J. G. Macgregor,et al.  Statistical Descriptions of Strength of Concrete , 1979 .

[29]  A. Ghobarah,et al.  Analytical Model for Shear-Link Behavior , 1995 .

[30]  Mohamed Hamdy Abou-Elfath Rehabilitation of nonductile reinforced concrete buildings using steel systems , 1998 .

[31]  W. K. Tso,et al.  Concrete Strength Variation in Actual Structures , 1970 .