Mechanisms of autogenous shrinkage for Ultra-High Performance Concrete (UHPC) prepared with pre-wet porous fine aggregate (PFA)

Liu, Kaizhi; Ye, Long; Chen, Luyi; Ling, Xuan; Yu, Rui; Shui, Zhonghe; Fei, Shunxin; Yu, Wenzhi; Li, Chen; Ge, Keyu

doi:10.1016/j.jobe.2022.104622

Cited by 6 publications

(2 citation statements)

References 82 publications

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“…Compared with NC, Ultra-High Performance Concrete (UHPC) has the advantages of super-high tensile and compressive strengths, ductility, and good durability etc. Many studies, either numerically or experimentally, have been done to research the behavior of RC elements with UHPC under impact loads, and UHPC has gradually become the most promising high-performance material (Feng et al, 2021; San et al, 2022; Liu et al, 2022; Hung et al, 2021; Zeng et al, 2022). It is well understood that UHPC has a very low water/binder ratio and forms a very dense microstructure (Zhang et al, 2022), and due to the addition of steel fibers, the tensile strength of UHPC is significantly higher than that of NC (Su et al, 2016; Chun and Yoo, 2019).…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of the ultra high performance concrete composite beam subjected to impact loads

Pei

Zeng

et al. 2023

Advances in Structural Engineering

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Ultra High Performance Concrete (UHPC) has gradually become the most promising high-performance material, and has achieved good results in the field of impact and explosion protection engineering. In general, normal reinforced concrete (NC) beams subjected to impact load are prone to local punching shear failure. Although pure UHPC beams can improve their impact performance, their further application is limited by the high cost. In order to achieve the balance between impact resistance and economy, this study puts forward the design scheme of local replacement and wrapping with UHPC to improve the impact resistance of reinforced concrete beams. In this work, the different research conditions including NC beam, UHPC beam and NC-UHPC composite beam are designed, and the impact resistance of specimens is compared and analyzed. The results show that UHPC local replacement scheme can effectively avoid local punching shear failure of beams. As for the UHPC wrapping scheme, the failure mode of the beam changes from punching shear failure to bending failure. Compared with NC beams, two schemes can effectively reduce the peak displacement and residual displacement in the mid-span. The peak displacement and residual displacement in the mid-span of the UHPC local replacement beam are smaller than that of UHPC wrapping schemes, and the mid-span bearing capacity is better. In this work, it is recommended to take a local replacement length greater than 2 times the beam height to avoid local punching shear failure.

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Section: Introductionmentioning

confidence: 99%

Performance analysis of the ultra high performance concrete composite beam subjected to impact loads

Pei

Zeng

et al. 2023

Advances in Structural Engineering

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“…The addition of supplementary raw materials inside the matrix of concrete has a significant impact on autogenous shrinkage, and the strength of cementitious composite necessitates a thorough understanding of their relative roles in shrinkage [ 29 , 30 , 31 ]. It was discovered that in addition to the water-to-binder ratio in concrete, cement fineness has a substantial impact and thus leads to excessive autogenous shrinkage [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Autogenous Shrinkage of Concrete Incorporating Super Absorbent Polymer and Waste Materials through Individual and Ensemble Machine Learning Approaches

Qureshi

Saleem²,

Javed

et al. 2022

Materials

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The use of superabsorbent polymers, sometimes known as SAP, is a tremendously efficacious method for reducing the amount of autogenous shrinkage (AS) that occurs in high-performance concrete. This study utilizes support vector regression (SVR) as a standalone machine-learning algorithm (MLA) which is then ensemble with boosting and bagging approaches to reduce the bias and overfitting issues. In addition, these ensemble methods are optimized with twenty sub-models with varying the nth estimators to achieve a robust R2. Moreover, modified bagging as random forest regression (RFR) is also employed to predict the AS of concrete containing supplementary cementitious materials (SCMs) and SAP. The data for modeling of AS includes water to cement ratio (W/C), water to binder ratio (W/B), cement, silica fume, fly ash, slag, the filer, metakaolin, super absorbent polymer, superplasticizer, super absorbent polymer size, curing time, and super absorbent polymer water intake. Statistical and k-fold validation is used to verify the validation of the data using MAE and RMSE. Furthermore, SHAPLEY analysis is performed on the variables to show the influential parameters. The SVM with AdaBoost and modified bagging (RF) illustrates strong models by delivering R2 of approximately 0.95 and 0.98, respectively, as compared to individual SVR models. An enhancement of 67% and 63% in the RF model, while in the case of SVR with AdaBoost, it was 47% and 36%, in RMSE and MAE of both models, respectively, when compared with the standalone SVR model. Thus, the impact of a strong learner can upsurge the efficiency of the model.

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Experimental and numerical investigations on flexural performance of ultra-high-performance concrete (UHPC) beams with wet joints

Feng

et al. 2022

Structures

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Mechanisms of autogenous shrinkage for Ultra-High Performance Concrete (UHPC) prepared with pre-wet porous fine aggregate (PFA)

Cited by 6 publications

References 82 publications

Performance analysis of the ultra high performance concrete composite beam subjected to impact loads

Performance analysis of the ultra high performance concrete composite beam subjected to impact loads

Prediction of Autogenous Shrinkage of Concrete Incorporating Super Absorbent Polymer and Waste Materials through Individual and Ensemble Machine Learning Approaches

Experimental and numerical investigations on flexural performance of ultra-high-performance concrete (UHPC) beams with wet joints

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