Title : ( New Model for the Lap-Splice Length of Tensile Reinforcement in Concrete Elements )
Authors: Arash Karimipour , Mansour Ghalehnovi , Jorge de Brito ,
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Abstract
In this study, a model is proposed to determine the required lap-splice length in RC beams using a multi-layer genetic programming machine learning (MLGPML) algorithm. This model was obtained from the study of the bond stress between concrete with normal and high compressive strength and tensile reinforcement. Previous models were used to estimate this bond stress, taking into account different parameters. In this study, using the results of 386 experimental tests on reinforced concrete beams, the lap-splice length and the required transverse reinforcement over that length were calculated. The proposed model to determine the bond stress is very well suited to the design purposes by comparison with various experimental campaigns’ results. DOI: 10.1061/(ASCE)ST.1943-541X.0003177. © 2021 American Society of Civil Engineers.
Keywords
, Bond stress; Normal, and high, strength concrete; Longitudinal tensioned reinforcement; Lap, splice length; Transverse reinforcement; RC beam
@article{paperid:1086752,
author = {Arash Karimipour and Ghalehnovi, Mansour and Jorge De Brito},
title = {New Model for the Lap-Splice Length of Tensile Reinforcement in Concrete Elements},
journal = {Journal of Structural Engineering},
year = {2021},
volume = {147},
number = {12},
month = {December},
issn = {0733-9445},
pages = {4021204--4021218},
numpages = {14},
keywords = {Bond stress; Normal- and high-strength concrete; Longitudinal tensioned reinforcement; Lap-splice length; Transverse reinforcement; RC beam},
}
%0 Journal Article
%T New Model for the Lap-Splice Length of Tensile Reinforcement in Concrete Elements
%A Arash Karimipour
%A Ghalehnovi, Mansour
%A Jorge De Brito
%J Journal of Structural Engineering
%@ 0733-9445
%D 2021
