2023
DOI: 10.3390/buildings13040908
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Experimental and Numerical Investigations of RC Frame Stability Failure under a Corner Column Removal Scenario

Abstract: In recent decades, interest in the resistance of buildings and structures to progressive collapse has been increasingly sparked in research communities. Although several experimental, numerical, and analytical research projects on the robustness of building frames under a column removal scenario have been implemented, some aspects of this problem remain understudied. These aspects encompass failure mechanisms of reinforced concrete frames with slender columns, as well as criteria used to evaluate such failures… Show more

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Cited by 9 publications
(1 citation statement)
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“…In this case, the time during which no further expansion of localization of destruction occurs should be sufficient for the safe evacuation of people and equipment. At present, a survivability criterion was proposed in [40] for reinforced concrete structures with unexpectedly removed supports; it is based on the evaluation of parameter λ = P 0 /P, in which values of P 0 , P loads are the ultimate values for this accident and that correspond to its operating conditions before the accident. The value of P 0 is found using the limit equilibrium theorem.…”
Section: Criterial Assessment Of Resistance To Progressive Collapse A...mentioning
confidence: 99%
“…In this case, the time during which no further expansion of localization of destruction occurs should be sufficient for the safe evacuation of people and equipment. At present, a survivability criterion was proposed in [40] for reinforced concrete structures with unexpectedly removed supports; it is based on the evaluation of parameter λ = P 0 /P, in which values of P 0 , P loads are the ultimate values for this accident and that correspond to its operating conditions before the accident. The value of P 0 is found using the limit equilibrium theorem.…”
Section: Criterial Assessment Of Resistance To Progressive Collapse A...mentioning
confidence: 99%