Damage prediction for regular reinforced concrete buildings using the decision tree algorithm

Karbassi, Amin; Mohebi, Benyamin; Rezaee, Saeed; Lestuzzi, Pierino

doi:10.1016/j.compstruc.2013.10.006

Cited by 105 publications

(38 citation statements)

References 26 publications

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“…Several works analyzing their use for modelling the compressive strength of concrete can be found e.g., in [25,26,30]. Furthermore, decision trees have also been applied for predicting the elastic modulus of recycled aggregate concrete [31] and other civil and engineering problems such as the modelling of damage in reinforced concrete buildings [32].…”

Section: Decision Tree Modelsmentioning

confidence: 99%

Parallel approach of a Galerkin-based methodology for predicting the compressive strength of the lightweight aggregate concrete

Migallón

Navarro-González

Penadés

et al. 2019

Construction and Building Materials

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A methodology based on the Galerkin formulation of the finite element method has been analyzed for predicting the compressive strength of the lightweight aggregate concrete using ultrasonic pulse velocity. Due to both the memory requirements and the computational cost of this technique, its parallelization becomes necessary for solving this problem. For this purpose a mixed MPI/OpenMP parallel algorithm has been designed and different approaches and data distributions analyzed. On the other hand, this Galerkin methodology has been compared with multiple linear regression models, regression trees and artificial neural networks. Based on different measures of goodness of fit, the effectiveness of the Galerkin methodology, compared with these statistical techniques for data mining, is shown.

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Section: Decision Tree Modelsmentioning

confidence: 99%

Parallel approach of a Galerkin-based methodology for predicting the compressive strength of the lightweight aggregate concrete

Migallón

Navarro-González

Penadés

et al. 2019

Construction and Building Materials

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“…A large number of damage models may be found in the literature [23][24][25][26][27][28] that the concrete exhibits significant strain softening beyond the peak or initial failure stress, and the failure criterion of concrete cannot be easily determined under complex stress states [29]. Four-parameter equivalent strain for the isotropic damage model which is modified Mazars [30] model incorporates this behavior and also reflects the entire failure process.…”

Section: Concrete Damage Modelmentioning

confidence: 99%

Single Spring Joint Element Based on the Mixed Coordinate System

Zhao

Zhang

Bai

et al. 2015

Mathematical Problems in Engineering

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As a FEM for reinforced concrete bond-slip problems, one important feature of the typical double spring joint element method is the selection of the normal stiffness, which may cause the mutual embedding problem and bring challenges to the calculation. In this paper, a novel single spring joint element method based on the mixed coordinate system is proposed to simulate the interaction of two materials. Instead of choosing the normal stiffness arbitrarily, the proposed method makes DOFs of two materials in the normal direction equal to ensure deformation compatibility. And its solid elements for the concrete are solved in global coordinate system, while the beam elements for the steel bar are solved in local coordinate system. In addition, the proposed method can also be applied to RC structures with irregular arrangements of steel bars. Numerical examples demonstrate the validity and accuracy of the proposed approach. Furthermore, the bond model is applied to RC beams with the description of the damage process.

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“…Therefore, the consideration of low‐cycle fatigue effects turns out to be very important. Several damage models have been developed to quantify the cumulative seismic damage in concrete elements under earthquake loads (Chai et al ., ; El‐Bahy et al ., ; Karbassi et al ., ; Kunnath et al ., ; McCabe and Hall, ; Park et al ., ; Pereraa et al ., ; Rao et al ., ). Cumulative damage is mostly modeled either by considering damage as a function of accumulated plastic deformations or by including a hysteretic energy term in the damage model (Poljansek and Fajfar, ).…”

Section: Introductionmentioning

confidence: 99%

Cumulative seismic damage assessment of reinforced concrete columns through cyclic and pseudo-dynamic tests

Xing

Ozbulut

Tao

et al. 2016

Struct Design Tall Spec Build

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This paper presents the findings of a systematic experimental study conducted to investigate cumulative seismic damage in reinforced concrete columns. Fourteen identical large-scale concrete columns were fabricated and tested to failure. Experimental tests were conducted in two phases. Phase I testing included benchmark tests to characterize the monotonic force-deformation behavior and constant amplitude tests to determine the low-cycle fatigue characteristics of typical flexural columns. Phase II involved testing of concrete columns under a series of earthquakes of varying duration and magnitude. Low-cycle fatigue of the longitudinal reinforcing bars and confinement failure due to rupture of the confining hoops were the main failure modes in phase I. Phase II tests also demonstrated the potential for low-cycle fatigue fracture of the main longitudinal steel when the specimen was subjected to relatively larger displacement amplitudes. A fatigue-based damage model is proposed based on the data obtained from the constant amplitude tests of phase I. The damage prediction of the model is assessed by using the response of three specimens tested in phase II and the data from the cyclic tests of six reinforced concrete columns reported in the literature. Results show that the proposed fatigue-based damage model offers a reliable means of assessing seismic structural performance. software that can be used for moment curvature, force deflection and axial force bending moment analysis for a reinforced concrete member under various loading conditions. Tab. 6 presents the experimental observations at the end of particular cycles for each specimen reported in Acun (2010) and Figure 14. Increments of damage index under each cycle for specimen (a) 1D2, (b) 2D3, (c) 3D4, (d) 4D5, (e) 5DV1 and (f) 6DV2.

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Damage prediction for regular reinforced concrete buildings using the decision tree algorithm

Cited by 105 publications

References 26 publications

Parallel approach of a Galerkin-based methodology for predicting the compressive strength of the lightweight aggregate concrete

Parallel approach of a Galerkin-based methodology for predicting the compressive strength of the lightweight aggregate concrete

Single Spring Joint Element Based on the Mixed Coordinate System

Cumulative seismic damage assessment of reinforced concrete columns through cyclic and pseudo-dynamic tests

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