Analysis of a compressive strength model for <scp>FRP‐confined</scp> damaged concrete columns based on the <scp>Drucker–Prager</scp> yield criterion

Zhang, Yang; Xiong, Xu; Musa, Moneef Mohamed Elobaid; Lyu, Xin

doi:10.1002/suco.202100584

Cited by 8 publications

(7 citation statements)

References 59 publications

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“…The concrete-damaged plasticity model was used to predict the nonlinear behavior of a PCB bridge. [24][25][26][27] This model assumes a non-associated plastic flow potential using the Drucker-Prager hyperbolic function for the flow potential. The damage factors of the tensile and compressive parameter values were determined based on previous studies, as shown in Figure 7.…”

Section: Concretementioning

confidence: 99%

Investigation on mechanical performance of prestressed concrete box‐girder bridge strengthened using composite trusses with different shapes

Hou,

Yang,

Yang

et al. 2024

Structural Concrete

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In this study, a finite element (FE) model of an existing prestressed concrete box‐girder (PCB) bridge is developed using Abaqus/Explicit (2022), and a series of FE simulations are conducted to examine the results of composite trusses (CTs) in strengthening PCB bridges with different shapes. A concrete damage plastic model of concrete is used to predict the nonlinear behavior of concrete. Field tests and theoretical calculations are performed to verify the rationality of the model. Three CTs of different shapes, that is, a K‐shaped composite truss (KCT), an X‐shaped composite truss (XCT), and a triangle‐shaped composite truss (TCT), are used to strengthen the PCB bridge models. The deflection, load distribution, distortion, and surface connection forces under two types of lane loads (European code [EU] and Chinese code [CC]) are discussed. The results show that the CT can reduce the deflection and distortion of the PCB bridge and improve the load distribution. However, the different CT shapes offer other strengthening effects. Among them, the XCT reduces deflection the most significantly, that is, by 8.9% and 17.1% under the two load modes, separately. In addition, the XCT improves the load distribution of the PCB bridge the most significantly. The KCT reduces the distortion of the PCB bridge the most significantly and decreases the stress ratio by 75.36%. Moreover, the deflection of the PCB bridge under the EC is more significant, indicating that the lane load defined by the EC is larger than that by the CC. The maximum surface connection forces are different under the same load mode for the different CTs. However, in all the models, the bending moment at surface‐2 is insignificant. Based on the analysis results, five assumptions are introduced. Using the KCT as an example, the plane model of the reinforced section is simplified, and a canonical equation is established to calculate the load distribution factor. The 324 coefficients and 18 free terms in this canonical equation are deduced, which provides a theoretical basis for strengthening PCB bridges using CTs.

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Section: Concretementioning

confidence: 99%

Investigation on mechanical performance of prestressed concrete box‐girder bridge strengthened using composite trusses with different shapes

Hou,

Yang,

Yang

et al. 2024

Structural Concrete

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“…In order to identify the unknown constants of A and B, the Drucker-Prager yield criterion can be expressed in terms of principal stresses, as follows 69,70 ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi…”

Section: Numerical Modelling Of Three-point Bending Testsunclassified

“…In order to identify the unknown constants of A and B, the Drucker-Prager yield criterion can be expressed in terms of principal stresses, as follows 69,70 …”

Section: Numerical Modelling Of Three-point Bending Testsmentioning

confidence: 99%

Examination of compressive and flexural behaviors of acrylonitrile-butadiene-styrene filled with hemp fiber particles

Osman

Dundar

Sahin

2023

Journal of Thermoplastic Composite Materials

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Effects of the addition of hemp fiber particles on the compressive and flexural behaviors of an industrially important amorphous thermoplastic, Acrylonitrile-Butadiene-Styrene (ABS), were investigated for the first time in this study. Particles with a size of 67–500 μm were first extracted from 10% NaOH alkaline-treated hemp fibers, and then incorporated into ABS at three various weight ratios (1wt%, 5wt% and 10wt%). Compression and three-point bending tests results revealed that both the compressive and flexural modulus of ABS increase with increasing particle content, but its compressive post-yield and flexural strengths decrease as enhancing particle content. The test results also showed that increasing particle content results in a significant improvement in the compressive modulus of ABS, but a slight enhancement in its flexural modulus. The notch-impact test results revealed that the impact strength of ABS is adversely affected by the incorporation of hemp fiber particles. The FT-IR (Fourier Transform Infrared Spectroscopy) analysis results indicated that mechanical bonding is formed between matrix and natural particles rather than chemical bonding. The SEM (Scanning Electron Microscopy) results put forth that the observed decrease in both the compressive post-yield and flexural strength is mainly due to the lack of strong mechanical bonding between ABS and particles. The three-point bending test data of the materials were satisfactorily reproduced using the linear Drucker-Prager material model in Abaqus engineering software.

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“…Specially, the compressive strength has been gained a significant research interest, for example see. [4][5][6] Providing a statistical evaluation, a database of publications on compressive behavior of FRP-confined concrete columns is collected. The database includes more than 50 publications from 1997 to 2021.…”

Section: Introductionmentioning

confidence: 99%

Data‐driven investigation of compressive strength of FRP‐confined concrete columns using a unified model based on RSM considering interactions between parameters

Vafaei,

Davoudi‐Kia,

Kutanaei

et al. 2024

Structural Concrete

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In this study, a data‐driven model was developed to predict compressive strength of concrete columns after confining with Fiber‐Reinforced Polymer (FRP). Through application of Response Surface Method (RSM), interactions of input parameters are investigated in addition to their individual influence. Moreover, RSM is utilized in conjunction with unification to enhance model's accuracy. Furthermore, sensitivity analysis is employed together with RSM, to determine the effect size of statistically significant parameters. It is revealed that the real behavior of FRP confined concrete cannot be predicted by single‐parameter studies. Therefore, interaction terms should be included in the model to yield a more accurate prediction. Moreover, the model shows the highest sensitivity to FRP failure strength which this sensitivity decreases as corner radius increases. Therefore, regarding rounded‐corner sections, high improvements are achievable even by utilizing low strength FRPs. It is also shown that higher improvement may be limited due to premature debonding which elastic modulus mismatch between different phases is supposed to be responsible for it.

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Analysis of a compressive strength model for FRP‐confined damaged concrete columns based on the Drucker–Prager yield criterion

Cited by 8 publications

References 59 publications

Investigation on mechanical performance of prestressed concrete box‐girder bridge strengthened using composite trusses with different shapes

Investigation on mechanical performance of prestressed concrete box‐girder bridge strengthened using composite trusses with different shapes

Examination of compressive and flexural behaviors of acrylonitrile-butadiene-styrene filled with hemp fiber particles

Data‐driven investigation of compressive strength of FRP‐confined concrete columns using a unified model based on RSM considering interactions between parameters

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