Abstract
In recent years, researchers have investigated the development of artificial neural networks (ANN) and finite element models (FEM) for predicting crack propagation in reinforced concrete (RC) members. However, most of the developed prediction models have been limited to focus on individual isolated RC members without considering the interaction of members in a structure subjected to hazard loads, due to earthquake and wind. This research develops models to predict the evolution of the cracks in the RC beam-column joint (BCJ) region. The RC beam-column joint is subjected to lateral cyclic loading. Four machine learning models are developed using Rapidminer to predict the crack width experienced by seven RC beam-column joints. The design parameters associated with RC beam-column joints and lateral cyclic loadings in terms of drift ratio are used as inputs. Several prediction models are developed, and the highest performing neural networks are selected, refined, and optimized using the various split data ratios, number of inputs, and performance indices. The error in predicting the experimental crack width is used as a performance index.
Highlights
The unpredictable nature of crack formation and propagation in reinforced concrete structures may seriously affect the stability and strength of structures, and has been a subject of many studies in recent years [1,2,3,4,5]
The analysis shows that support vector machine (SVM) model with dot prediction method presented better prediction with the smallest error, in which the distribution of predicted was below (27% error) and above (30% error) of the reference line compared to Deep learning (DL) max-out (48% and 56%), DL rectifier (55% and 44%) and SVM—neural (29% and 48%)
In this research, prediction models were developed to analyze and predict crack width in reinforced concrete beam-column joints area subjected to lateral cyclic loadings
Summary
The unpredictable nature of crack formation and propagation in reinforced concrete structures may seriously affect the stability and strength of structures, and has been a subject of many studies in recent years [1,2,3,4,5]. The propagation in crack width can reduce the structure’s service life by accelerating the corrosion of steel reinforcement through the penetration of moisture, vapor, saltwater, and chemical gasses to the structural members [2,12,13]. The crack width initiation and propagation in reinforced concrete members could be estimated using classical theories by assuming the distribution of the bond stress as a member is subjected to tension with constant bending moment [14,15]. Gilbert implemented basic principles of equilibrium and compatibility to derive a series of expressions from calculating the stresses in concrete and steel members, the number
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