Ultimate Load in Beam Column Joints under Opening Moment using Genetic Algorithm
Neeru Singla1, Ashok Kumar Gupta2, Yeshpal Vasishta3
1Neeru Singla1, Assistant Professor, IK Gujral Punjab Technical University, Jalandhar.
2Ashok Kumar Gupta2*, Professor and Head, Department of Civil Engineering, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh , India.
3Yeshpal Vasishta3, Executive Engineer, Himachal Pradesh Public Works Department (HPPWD), Shimla HP.
Manuscript received on 1 August 2019. | Revised Manuscript received on 6 August 2019. | Manuscript published on 30 September 2019. | PP: 1035-1046 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4234098319/19©BEIESP | DOI: 10.35940/ijrte.C4234.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Genetic Programming (GP) is an independent domain, an approach for problem-solving which evolved the computer programs for finding solutions to the problems. The study was carried out by performing the experiments and validation of obtained results under opening moments was done analytically using finite element modelling (FEM) of fibrous and non-fibrous concrete corner joints. Genetic Programming is used to generate the mathematical formula. Fibers like flat crimped-type steel fibers, hooked steel fibers and straight steel fibers with aspect ratio (AR) 30 & 50 and four volume fraction 0.5%, 1.00%, 1.50% and 1.75% have been used. Ultimate load is calculated using GP by generating a mathematical model for various types of fibers and compared with experimental values obtained which proved to be in the closed proximity.
Keywords: Genetic Programming, Opening, closing bending moment, Finite Element Modelling.
Scope of the Article: Logic, Functional programming and Microcontrollers for IoT