Energy balance method for modeling ultimate strain of fiber‐reinforced polymer‐repaired concrete

Tijani, I. A.; Wu, Yu-Fei; Lim, C.W.

doi:10.1002/suco.201900260

Cited by 13 publications

(8 citation statements)

References 67 publications

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“…Given that there are numerous studies on the ultimate strain of concrete [ 23 , 24 ], the numerical limit analysis method is used to calculate and analyze the plastic shear strain of a C25 ordinary concrete cube specimen in this study. Hence, the ultimate plastic shear strain value of C25 ordinary concrete is obtained, and a comparison is made with the results of previous studies to verify the reliability of the numerical limit analysis method of plastic shear strain of C25 ordinary concrete.…”

Section: Numerical Limit Analysis Methods Of Plastic Shear Strainmentioning

confidence: 99%

Synergetic Theory of Information Entropy Based on Failure Approach Index for Stability Analysis of Surrounding Rock System

Xiong,

Yuan,

Liu

et al. 2023

Entropy

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It is generally acknowledged that the stability evaluation of surrounding rock denotes nonlinear complex system engineering. In order to accurately and quantitatively assess the safety states of surrounding rock and provide a scientific basis for the prevention and control of surrounding rock stability, the analysis method of the synergetic theory of information entropy using the failure approach index has been proposed. By means of deriving the general relationship between the total two-dimensional plastic shear strain and the total three-dimensional plastic shear strain and obtaining the numerical limit analysis step of the plastic shear strain, the threshold value of the ultimate plastic shear strain can be determined, which has provided the key criterion for the calculation of the information entropy based on the failure approach index. In addition, combining with the synergetic theory of the principle of maximum information entropy, the evolution equation of the excavation step and information entropy based on the failure approach index of the surrounding rock system in underground mining space are established, and the equations of the general solution and particular solution as well as the expression of the destabilizing excavation step are given. To account for this, the method is applied to analyze the failure states of the floor surrounding rock after the mining of the 71 coal seam in Xutuan Coal Mine and involve the disturbance effect and stability control method of the underlying 72 coal seam roof from the macroscopic and microscopic aspects. Consequently, the validity of the analysis method of synergetic theory of information entropy based on the failure approach index has been verified, which presents an updated approach for the stability evaluation of surrounding rock systems that is of satisfactory capability and value in engineering applications.

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Section: Numerical Limit Analysis Methods Of Plastic Shear Strainmentioning

confidence: 99%

Synergetic Theory of Information Entropy Based on Failure Approach Index for Stability Analysis of Surrounding Rock System

Xiong,

Yuan,

Liu

et al. 2023

Entropy

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“…In the last few decades, the behavior of FRP-RC circular columns was extensively investigated, and various empirical models [58][59][60][61][62][63][64][65] were developed to predict the axial load-carrying capacities of the columns. Fanaradelli and Rousakis 58 proposed an analytical model to predict the peak stress and strain of rectangular FRP-RC columns tested under axial cyclic-loading.…”

Section: Empirical Modelingmentioning

confidence: 99%

“…Fanaradelli and Rousakis 58 proposed an analytical model to predict the peak stress and strain of rectangular FRP‐RC columns tested under axial cyclic‐loading. Similarly, Ibrahim et al 59 proposed an empirical model to predict the ultimate strains under different loading conditions and extended the applications of empirical model for different types of FRP‐RC columns. Cao et al 60 investigated the experimental and theoretical study to investigate the behavior of FRP‐RC columns under cyclic‐compression loading.…”

Section: Introductionmentioning

confidence: 99%

Neural network‐based models versus empirical models for the prediction of axial load‐carrying capacities of FRP‐reinforced circular concrete columns

Ali,

Ahmad,

Iqbal

et al. 2023

Structural Concrete

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This study presents new neural‐network (NN)‐based models to predict the axial load‐carrying capacities of fiber‐reinforced polymer (FRP) bar reinforced‐concrete (RC) circular columns. A database of FRP‐reinforced concrete (RC) circular columns having outside diameter and height ranged between 160–305 and 640–2500 mm, respectively was established from the literature. The axial load‐carrying capacities of FRP‐RC columns were first predicted using the empirical models developed in the literature and then predicted using deep neural‐network (DNN) and convolutional neural‐network (CNN)‐based models. The developed DNN and CNN models were calibrated using various neurons integrated in the hidden layers for the accurate predictions. Based on the results, the proposed DNN and CNN models accurately predicted the axial load‐carrying capacities of FRP‐RC circular columns with R2 = 0.943 and R2 = 0.936, respectively. Further, a comparative analysis showed that the proposed DNN and CNN models are more accurate than the empirical models with 52% and 42% reduction in mean absolute percentage error (MAPE) and root mean square error (RMSE), respectively involved in the empirical models. Moreover, within NN‐based prediction models, the prediction accuracy of DNN model is comparatively higher than the CNN model due to the integration of neurons in each layer (9‐64‐64‐64‐64‐1) and embedded rectified linear unit (ReLu) activation function. Overall, the proposed DNN and CNN models can be utilized as paramount in the future studies.

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“…Numerous studies of stress–strain curve, compressive strength and ultimate strain of FRP confined concrete have been conducted 6–9 . Most of these studies addressed FRP‐confined intact concrete specimens, 10,11 whereas a limited number of studies focused on the behavior of FRP confined predamaged concrete 12–20 . However, in practice, FRP jackets are usually applied to concrete columns with existing material damage and potential future damage.…”

Section: Introductionmentioning

confidence: 99%

Effects of predamage and load cyclic on compression behavior of fiber reinforced polymer‐confined concrete

Cao

Hou

Liu

et al. 2021

Structural Concrete

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Most existing studies on fiber reinforced polymer (FRP) confined concrete have focused on undamaged concrete that is subjected to uniaxial monotonic compression. However, FRP jackets are usually applied to concrete columns with existing material damage and potential future damage. This paper investigates FRP confinement on concrete with damage before and after FRP jacketing. A total of 32 FRP‐confined concrete specimens were tested under axial compression in this work. The prior damage before FRP jacketing was implemented as predamaging by applying preloading and then release on the plain concrete specimens. The post damage after FRP jacketing was performed by applying cyclic axial compression loading on FRP‐confined concrete specimens. The test results reveal that the concrete predamage levels have significant influences on the cyclic stress–strain curve and envelop stress–strain curve for FRP confined concrete under cyclic loading. Existing models on ultimate state, plastic strain, reloading and unloading moduli were evaluated and investigated in this work.

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Energy balance method for modeling ultimate strain of fiber‐reinforced polymer‐repaired concrete

Cited by 13 publications

References 67 publications

Synergetic Theory of Information Entropy Based on Failure Approach Index for Stability Analysis of Surrounding Rock System

Synergetic Theory of Information Entropy Based on Failure Approach Index for Stability Analysis of Surrounding Rock System

Neural network‐based models versus empirical models for the prediction of axial load‐carrying capacities of FRP‐reinforced circular concrete columns

Effects of predamage and load cyclic on compression behavior of fiber reinforced polymer‐confined concrete

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