2022
DOI: 10.1186/s40069-022-00519-7
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Experimental and Analytical Studies for the Size Effect on the Axial Strength of High-Strength Concrete Walls with Various Fire-Damaged Areas

Abstract: The purpose of this study is to investigate the effect of fire-damaged areas associated with wall width on the axial strength of fire-damaged reinforced concrete (RC) walls. Toward that goal, Finite Element (FE) models of RC walls in real scale are generated with various wall widths of (600, 1500, and 3000) mm and number of heated surfaces such as half-surface, single-surface and double-surfaces. For the analyses, experiments are used to obtain temperature distributions inside the walls depending on the fire-d… Show more

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Cited by 3 publications
(2 citation statements)
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“…As for concrete materials (Fig. 8b), it has relied on laboratory models in modeling numerical models, in terms of concrete compressive strength, cement quantity, additives materials, slump, and other characteristics (Chun et al, 2022;Kim et al, 2012; , 2020). The Superstructure and the pier have been modeled using concrete with compressive strength C35 MPa, while the pile cap and the piles were modeled using concrete with compressive strength C30 MPa.…”
Section: Diana Modelmentioning
confidence: 99%
“…As for concrete materials (Fig. 8b), it has relied on laboratory models in modeling numerical models, in terms of concrete compressive strength, cement quantity, additives materials, slump, and other characteristics (Chun et al, 2022;Kim et al, 2012; , 2020). The Superstructure and the pier have been modeled using concrete with compressive strength C35 MPa, while the pile cap and the piles were modeled using concrete with compressive strength C30 MPa.…”
Section: Diana Modelmentioning
confidence: 99%
“…As for concrete materials (Fig. 8 b), it has relied on laboratory models in modeling numerical models, in terms of concrete compressive strength, cement quantity, additives materials, slump and the other characteristics (Kim et al, 2012;Zhao et al, 2020;Chun et al, 2022).…”
Section: Diana Modelmentioning
confidence: 99%