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Predictive modeling of the lateral drift capacity of circular reinforced concrete columns using an evolutionary algorithm

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Abstract

The drift capacity of reinforced concrete (RC) columns is a crucial factor in displacement and seismic based design procedure of RC structures, since they might be able to withstand the loads or dissipate the energy applied through deformation and ductility. Considering the high costs of testing methods for observing the drift capacity and ductility of RC structural members in addition to the impact of numerous parameters, numerical analyses and predictive modeling techniques have very much been appreciated by researchers and engineers in this field. This study is concerned with providing an alternative approach, termed as linear genetic programming (LGP), for predictive modeling of the lateral drift capacity (Δmax) of circular RC columns. A new model is developed by LGP incorporating various key variables existing in the experimental database employed and those well-known models presented by various researchers. The LGP model is examined from various perspectives. The comparison analysis of the results with those obtained by previously proposed models confirm the precision of the LGP model in estimation of the Δmax factor. The results reveal the fact that the LGP model impressively outperforms the existing models in terms of predictability and performance and can be definitely used for further engineering purposes. These approve the applicability of LGP technique for numerical analysis and modeling of complicated engineering problems.

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Abbreviations

a/L s :

Aspect ratio

A c :

The area of RC column core within perimeter transverse reinforcement (center-to-center)

A g :

Gross area of the column section

A sl :

The total area of the longitudinal reinforcement

A st :

The total area of transverse reinforcement

b :

Column section width

b c :

The column concrete core width

d :

Effective depth

D eq or D :

The diameter of the equivalent circular column cross section

f′c :

Standard compressive strength of unconfined concrete samples

f yl :

The yield strength of longitudinal steel reinforcement,

f yt :

The yield strength of lateral or transverse steel reinforcement

h c :

The column concrete core depth

L :

Column length

L/D :

The column slenderness ratio

P :

The axial load applied to the column

s :

The spacing between transverse reinforcement or spiral pitch

V max :

The maximum shear strength

α :

The axial load ratio calculated by P/Agf′c

β :

The transverse reinforcement index equal to ρtfyt/f′c

γ :

The longitudinal reinforcement index equal to ρlfyl/f′c

Δmax :

The maximum lateral displacement or the drift capacity of circular RC columns

ρ l :

The longitudinal steel ratio

ρ t :

The ratio of the volume of lateral reinforcement to volume of confined concrete core

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Authors and Affiliations

  1. Department of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran

    Mostafa Rezvani Sharif & Seyed Mohammad Reza Sadri Tabaei Zavareh

Authors
  1. Mostafa Rezvani Sharif
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  2. Seyed Mohammad Reza Sadri Tabaei Zavareh
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Correspondence to Mostafa Rezvani Sharif.

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Appendix A

Appendix A

A.1. The optimum LGP program for the prediction of fc′c.

The following LGP program can be run in the Discipulus interactive evaluator mode or can be compiled in C++ environment. (Note: v[0], v, v [3],…, v [7], respectively, are L/D, ρt, β = ρtfyt/fc′, ρl, γ = ρlfyl/fc′, α = P/Agf′, s/d and a/Ls)

figure a

A.2. The database used in the present paper is attached as a supplementary file.

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Rezvani Sharif, M., Sadri Tabaei Zavareh, S.M.R. Predictive modeling of the lateral drift capacity of circular reinforced concrete columns using an evolutionary algorithm. Engineering with Computers 37, 1579–1591 (2021). https://doi.org/10.1007/s00366-019-00904-z

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