Numerical formulation of confined compressive strength and strain of circular reinforced concrete columns using gene expression programming approach

2017 ◽  
Vol 19 (3) ◽  
pp. 783-794 ◽  
Author(s):  
Ehsan Sadrossadat ◽  
Behnam Ghorbani ◽  
Morteza Hamooni ◽  
Mohammad H. Moradpoor Sheikhkanloo
Keyword(s):  
Gene Expression ◽  
Compressive Strength ◽  
Reinforced Concrete ◽  
Gene Expression Programming ◽  
Concrete Columns ◽  
Programming Approach ◽  
Reinforced Concrete Columns ◽  
Numerical Formulation

Shear strength prediction of short circular reinforced-concrete columns using soft computing methods

2020 ◽  
Vol 23 (14) ◽  
pp. 3048-3061
Author(s):  
Hesam Ketabdari ◽  
Farzad Karimi ◽  
Mahsa Rasouli
Keyword(s):  
Gene Expression ◽  
Experimental Data ◽  
Shear Strength ◽  
Particle Swarm Optimization ◽  
Reinforced Concrete ◽  
Gene Expression Programming ◽  
Particle Swarm ◽  
Concrete Columns ◽  
Swarm Optimization ◽  
Reinforced Concrete Columns

In this article, it has been aimed to predict the shear strength of short circular reinforced-concrete columns using the meta-heuristic algorithms. Based on the studies conducted so far, the parameters dominantly affecting the shear strength include axial force, longitudinal and transverse reinforcement, column dimension ratio, concrete compressive strength and ductility. In this respect, first, 200 numerical models of the short circular reinforced-concrete column incorporating various effective parameters so that a sufficient number of outputs could be provided, are analyzed by ABAQUS software to compute their shear strengths. Then, the gene expression programming and particle swarm optimization algorithms are employed to predict the shear strengths and by means of each algorithm, a relation was proposed accordingly. Then, using the experimental data, these relations are evaluated by comparing with those specified in ACI 318 and ASCE-ACI 426. The results indicate that the percentage of relative error between the experimental data and the values obtained from ACI 318 and ASCE-ACI 426 is respectively equal to 25% and 30%, which have been reduced to 13% and 9% through the gene expression programming and particle swarm optimization algorithms implying the satisfactory performance of these two algorithms. Finally, a comparison of the gene expression programming and particle swarm optimization is investigated in terms of convergence rate, degree of accuracy, and performance mechanism.

scholarly journals Construction of N-M Interaction Diagram for Reinforced Concrete Columns Strengthened with Steel Jackets Using Plastic Stress Distribution Method

2017 ◽  
Vol 3 (10) ◽  
pp. 929
Author(s):  
Mohannad Husain Al-Sherrawi ◽  
Hamza M. Salman
Keyword(s):  
Compressive Strength ◽  
Reinforced Concrete ◽  
Stress Distribution ◽  
Concrete Columns ◽  
Concrete Compressive Strength ◽  
Distribution Method ◽  
Reinforced Concrete Columns ◽  
Interaction Diagram ◽  
Steel Angle ◽  
Plastic Stress

No attempts have been made in developing the N-M interaction diagram for reinforced concrete columns strengthened with steel jackets using the plastic stress distribution method. Therefore, this paper presents an analytical model to construct the N-M interaction diagram for reinforced concrete columns strengthened with steel jackets using the plastic stress distribution method after assuming the behavior of strengthened column to be like composite column and including the effects of confinement on concrete compressive strength. The proposed model was compared with experimental results. The comparisons showed that the model is conservative and it reveals the ultimate strength of the strengthened column. A parametric study has been also carried out to investigate the influence of various parameters on the N-M interaction diagram of the strengthened column. These parameters were: dimensions of steel angle, yield stress of the steel angles, concrete compressive strength and the size of the reinforcement bars used in RC columns. The results made clear the effects of these parameters on the N-M interaction diagram, and encouraged the use of the model in preliminary strengthening studies.

scholarly journals Axial Compressive Behavior of Reinforced Concrete (RC) Columns Incorporating Multi-Walled Carbon Nanotubes and Marble Powder

Crystals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 247
Author(s):  
Abdul Jalil Khan ◽  
Liaqat Ali Qureshi ◽  
Muhammad Nasir Ayaz Khan ◽  
Akhtar Gul ◽  
Muhammad Umar ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Compressive Strength ◽  
Reinforced Concrete ◽  
Main Property ◽  
Concrete Columns ◽  
Sem Analysis ◽  
Multiwalled Carbon ◽  
Reinforced Concrete Columns ◽  
Multi Walled Carbon Nanotubes ◽  
Marble Powder

In this study, Multiwalled Carbon Nanotubes (MWCNTs) and Marble Powder (MP) have been utilized in reinforced concrete columns to assess their structural behavior. The nanotubes from 0.025% to 0.20% and 5% MP by weight of cement were used. The compressive strength of reinforced concrete columns and cubes was analyzed as the main property. The incorporation of MWCNTs and marble powder was able to increase the compressive strength of columns by 72.69% and mortar by 42.45% as compared to reference concrete. The ductility was noted to be improved by 42.04%. The load-deformation and stress-strain behaviors were also analyzed. The Scanning Electron Microscopy (SEM) analysis revealed the formation of a strong compact bridge (90–100 layers), Calcium Silicate Hydrate (C-S-H) gel, evenly dispersion, and bridging effect caused by MWCNTs. The incorporation of 0.20% MWCNTs by weight of cement was recommended to be effectively used as a reinforcing agent in concrete.

scholarly journals Numerical Analysis of Strength Capacity of High-Performance Reinforced Concrete Columns with Varied Parametric Study

2020 ◽  
Vol 14 (1) ◽  
pp. 141-151
Author(s):  
Hadi N. G. Al-Maliki
Keyword(s):  
Compressive Strength ◽  
Reinforced Concrete ◽  
High Performance ◽  
High Performance Concrete ◽  
Load Capacity ◽  
Axial Loading ◽  
Concrete Columns ◽  
Reinforced Concrete Columns ◽  
Strength Capacity ◽  
The Moment

Introduction: This study includes the analysis of the strength capacity of high performance reinforced concrete columns subjected to concentric axial loading. The main variables are based on the compressive strength of concrete and steel reinforcing ratios. All the columns are fixed, supported by two ends. Methods: This study is based on a calculation done according to ACI Code-318M-2011 equations for columns analysis to evaluate the ultimate strength then applied these load on samples to compare between them by software program Prokon V.3. The comparison is based on reinforcement ratio and moment resistance capacity. Results: The analysis results show that when increasing the main reinforcement with high-performance concrete led, there will be an increased load capacity by about (40 to 215%) and moment resistance capacity by about (35 to 50%) with the same load conditions. According to the analysis of the results, the moment resistance capacity of constant sample value with different reinforcing ratio leads to these resist depending on the load applied, and the concrete compressive strength of columns. Conclusion: Reasonable correlation of the results is demonstrated, which ensured the adequacy of the analysis by test program, both hand calculation and software Prokon.V.3.

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