Steel fibers pull-out after exposure to high temperatures and its contribution to the residual mechanical behavior of high strength concrete

Ruano, Gonzalo; Isla, Facundo; Luccioni, Bibiana; Zerbino, Raúl Luis; Giaccio, Graciela Marta

doi:10.1016/j.conbuildmat.2017.12.129

Cited by 53 publications

(25 citation statements)

References 46 publications

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“…However, many of them did not provide all information on the 11 input parameters. In this study, 265 test results from [1][2][3][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] are used to train the presented ANN model. The test results from these published literature were compiled and summarized in " Table 9 in Appendix 1".…”

Section: Network Data Preparationmentioning

confidence: 99%

A machine learning approach to predict explosive spalling of heated concrete

Liu

Zhang

2020

Archiv.Civ.Mech.Eng

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Explosive spalling is an unfavorable phenomenon observed in concrete when exposed to heating load. It is a great potential threat to safety of concrete structures subjected to accidental thermal loads. Therefore, assessing explosive spalling risk of concrete is important for fire safety design of concrete structures. This paper proposed a popular machine learning approach, i.e., artificial neural network (ANN), to assess explosive spalling risk of concrete. Besides, the decision tree method was also used to execute the same mission for a comparison purpose. Twenty-eight groups of heating tests were conducted to validate the proposed ANN model. The ANN model behaved well in assessing explosive spalling of concrete, with a prediction accuracy of 82.1%. This study shows that ANN is a promising method for adequate classification of concrete as material resistant or not resistant to thermal explosive spalling.

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Section: Network Data Preparationmentioning

confidence: 99%

A machine learning approach to predict explosive spalling of heated concrete

Liu

Zhang

2020

Archiv.Civ.Mech.Eng

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“…where The results in the range 25°C ≤ T ≤ 400 °C show that k b is between ~0.8 and ~1.2 in the majority of cases. In this initial range, some authors report that the changes in bond strength are not statistically, and that a significant decrease is verified only for T ≥ 600 °C [80,[95][96][97]. These results may be related to the intrinsic variability of the pullout test methodology employed in most of these studies, which was based on a single-sided embedded test containing one single fiber.…”

Section: Bond-slip Behavior Of Fibersmentioning

confidence: 98%

“…The C-S-H begins to decompose into nesosilicates in the form of belite (C 2 S) for temperatures of 150-200 °C, however with a significantly different morphology than the silicates found in anhydrous cement paste [68]. Additionally, the inherent crystal structure of this nesosilicates results in variable Ca-Ca bond length [80], which may significantly affect the rehydration kinetics due to differences in terms of hydraulic activity. For temperatures greater than 600 °C, the decomposition of C-S-H results in the formation of wollastonite (CaSiO 3 ) and the metastable merwinite, larnite, and melilite [68,71,81].…”

Section: Physical Chemical and Mineralogical Changesmentioning

confidence: 99%

“…Additionally, the thermal oxidation process begins at ~500 °C [90] and may reduce the cross-sectional area of steel, which is a factor of paramount importance in case of steel fibers that have relatively reduced cross-sectional area. Although these metal related processes are well-stablished, the effect of temperature on the steel fibers and the fiber-matrix ITZ have not been sufficiently investigated in literature, especially regarding these metal-related processes, the microstructural changes in the fiber-matrix ITZ, and the overall bond-slip behavior [80,[95][96][97][98]. The study of the changes that occur with steel fibers, the fiber-matrix ITZ, and the bond-slip behavior when embedded in cementitious matrix is required in order to improve the current scientifical understanding of the effects of temperature on SFRC.…”

Section: Physical Chemical and Mineralogical Changesmentioning

confidence: 99%

“…A few articles were extracted from the thesis and published in peer reviewed journals [95][96][97]. Later, Ruano et al [80] evaluated the bond-slip behavior of straight and hooked-end steel fibers after exposure to temperatures ranging between 20-475 °C. Lastly, Zhang et al…”

Section: Bond-slip Behavior Of Fibersmentioning

confidence: 99%

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The effect of fire on pre-cast steel fiber reinforced concrete for tunnel linings: from microstructure to structural simulation.

Serafini¹

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This study aims to evaluate the effect of elevated temperatures on the physical, mechanical, and microstructural properties of a hooked-end steel fiber for temperatures of 100, 350, 750, and 1000 °C. Results show that an oxidation layer is formed on the surface of the fibers exposed to temperatures of 750 °C and above, which leads to an increase in external diameter and mass. Reductions in tensile strength are directly proportional to the temperature increase, while rupture strain values significantly increase for temperatures above the recrystallization temperature of steel. The present study contributes to the understanding of the contribution of steel fibers to the overall behavior of the composite after temperature exposure and serve as input for recently developed numerical models.

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Influence of cooling methods on high‐temperature residual mechanical characterization of strain‐hardening cementitious composites

Kumar,

Soliman,

Ranade

2023

Fire and Materials

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Residual strength tests are commonly used to characterize the high‐temperature mechanical properties of concrete materials. In these tests, the specimens are heated to a target temperature in a furnace and then cooled down to room temperature, followed by mechanical testing at room temperature. This research investigates the influence of the cooling method on the residual strength of Strain Hardening Cementitious Composites (SHCC) after exposure to 400°C and 600°C. Two types of cooling methods — furnace‐cooling (within a closed furnace) and water‐cooling (immersed in a water tank) — were adopted. Four different SHCC previously investigated by the authors for high‐temperature residual mechanical and bond behavior with steel were studied. Two different specimen sizes were tested under uniaxial compression and flexure to characterize the residual compressive strength and modulus of rupture. The effect of the cooling method was prominent for the normalized residual modulus of rupture at 400°C, but not at 600°C. The cooling method had no effect on the normalized residual compressive strength of any material at either of the two temperatures, except one of the SHCC (PVA‐SC) at 400°C. Specimen size also had no effect on the normalized residual compressive strength and modulus of rupture irrespective of the cooling method.

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Steel fibers pull-out after exposure to high temperatures and its contribution to the residual mechanical behavior of high strength concrete

Cited by 53 publications

References 46 publications

A machine learning approach to predict explosive spalling of heated concrete

A machine learning approach to predict explosive spalling of heated concrete

The effect of fire on pre-cast steel fiber reinforced concrete for tunnel linings: from microstructure to structural simulation.

Influence of cooling methods on high‐temperature residual mechanical characterization of strain‐hardening cementitious composites

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