Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups

Gandomi, AH; Mohammadzadeh S., D; Pérez-Ordóñez, JL; Alavi, AH

Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups

Gandomi, AH Mohammadzadeh S., D Pérez-Ordóñez, JL Alavi, AH

Permalink

Publisher:: ELSEVIER SCIENCE BV
Publication Type:: Journal Article
Citation:: Applied Soft Computing Journal, 2014, 19, pp. 112-120
Issue Date:: 2014-06-01

Closed Access

	Filename	Description	Size
	Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups.pdf	Published version	1.87 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Gandomi, AH
dc.contributor.author	Mohammadzadeh S., D
dc.contributor.author	Pérez-Ordóñez, JL
dc.contributor.author	Alavi, AH
dc.date.accessioned	2023-03-28T21:13:20Z
dc.date.available	2023-03-28T21:13:20Z
dc.date.issued	2014-06-01
dc.identifier.citation	Applied Soft Computing Journal, 2014, 19, pp. 112-120
dc.identifier.issn	1568-4946
dc.identifier.issn	1872-9681
dc.identifier.uri	http://hdl.handle.net/10453/168749
dc.description.abstract	A new design equation is proposed for the prediction of shear strength of reinforced concrete (RC) beams without stirrups using an innovative linear genetic programming methodology. The shear strength was formulated in terms of several effective parameters such as shear span to depth ratio, concrete cylinder strength at date of testing, amount of longitudinal reinforcement, lever arm, and maximum specified size of coarse aggregate. A comprehensive database containing 1938 experimental test results for the RC beams was gathered from the literature to develop the model. The performance and validity of the model were further tested using several criteria. An efficient strategy was considered to guarantee the generalization of the proposed design equation. For more verification, sensitivity and parametric analysis were conducted. The results indicate that the derived model is an effective tool for the estimation of the shear capacity of members without stirrups (R = 0.921). The prediction performance of the proposed model was found to be better than that of several existing buildings codes. © 2014 Elsevier B.V.
dc.language	English
dc.publisher	ELSEVIER SCIENCE BV
dc.relation.ispartof	Applied Soft Computing Journal
dc.relation.isbasedon	10.1016/j.asoc.2014.02.007
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 0806 Information Systems
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups
dc.type	Journal Article
utslib.citation.volume	19
utslib.for	0102 Applied Mathematics
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-28T21:13:19Z
pubs.publication-status	Published
pubs.volume	19

Abstract:

A new design equation is proposed for the prediction of shear strength of reinforced concrete (RC) beams without stirrups using an innovative linear genetic programming methodology. The shear strength was formulated in terms of several effective parameters such as shear span to depth ratio, concrete cylinder strength at date of testing, amount of longitudinal reinforcement, lever arm, and maximum specified size of coarse aggregate. A comprehensive database containing 1938 experimental test results for the RC beams was gathered from the literature to develop the model. The performance and validity of the model were further tested using several criteria. An efficient strategy was considered to guarantee the generalization of the proposed design equation. For more verification, sensitivity and parametric analysis were conducted. The results indicate that the derived model is an effective tool for the estimation of the shear capacity of members without stirrups (R = 0.921). The prediction performance of the proposed model was found to be better than that of several existing buildings codes. © 2014 Elsevier B.V.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/168749