Evaluation of post-fire residual resistance of RC columns considering non-mechanical deformations

Hwang, Jong‐Yeon; Kwak, Hyo–Gyoung

doi:10.1016/j.firesaf.2018.08.003

Cited by 10 publications

(5 citation statements)

References 24 publications

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“…The presence of the system of equations (1) in the second boundary condition that varies with time the fire temperature tp() significantly complicates the solution of this system of equations. However, having made the appropriate transformations, it was possible to obtain a solution based on the method of separation of Fourier variables [11] and analysis of research results of other authors [12][13][14][15].…”

Section: Resultsmentioning

confidence: 99%

Analysis of the results of a survey on a residential building after a gas explosion and fire

2020

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The paper analyzes the statistics on household gas explosions and subsequent fires in the residential sector. The results of a survey of a residential building after a gas explosion and a real fire are presented in order to determine the possibility of its restoration and further operation. The results of the necessary experimental and theoretical studies are presented. Examples of the use of foreign experience in the study of fire resistance of building structures are given. The results obtained were used in the development of recommendations for the possibility of restoration of the house and during the necessary construction and finishing works.

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Section: Resultsmentioning

confidence: 99%

Analysis of the results of a survey on a residential building after a gas explosion and fire

2020

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“…However, even this analysis has to be extended by additional experimental testing. It is indispensable to conduct experimental and numerical analyses for the calculation of real resistance of concrete elements under fire exposure conditions [33].…”

Section: Slabmentioning

confidence: 99%

Overview of research on fire effects in RC elements and assessment of RC structures after fire

Lakušić¹

2021

JCE

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Procedures for estimating damage and remaining bearing capacity of RC structures after fire are presented in the paper. The paper describes the effect of fire on structures, the danger it poses for the loss of human lives, and financial losses it may generate. The damage to structural RC elements of a column, beam, slab, wall, and connection details, is presented in the paper. Although RC elements are generally considered to be fire resistant, their physical and mechanical characteristics are greatly influenced by temperature, while the bearing capacity before and after fire can be determined through a number of different methods that are presented in the paper. An overview of condition assessment for RC structures after fire is proposed, and methodology for taking further action is presented.

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“…18,19 Other notable studies worthy of mentioning include those that explored the influence of unsymmetric heating/ loading, [20][21][22][23] unique geometrical features, 11 design/natural fire conditions, 24 reinforcement configuration, 25,26 as well as residual response post fire. [27][28][29] Practically, the fire resistance of RC columns can be predicted and calculated via a number of approaches. These approaches range from traditional aids (i.e., via charts, tables) as documented in fire buildings and standards, 30,31 to hand-calculation based methods derived by researchers, 27,[32][33][34] to alternative methods such as finite element simulations, 16,26 and/or machine learning (ML) (blackbox algorithms, [35][36][37][38] or explainable models 39 ).…”

Section: Introductionmentioning

confidence: 99%

“…The interaction of such factors has been heavily examined in the open literature experimentally, 14,15 numerically, 16,17 and theoretically 18,19 . Other notable studies worthy of mentioning include those that explored the influence of unsymmetric heating/loading, 20–23 unique geometrical features, 11 design/natural fire conditions, 24 reinforcement configuration, 25,26 as well as residual response post fire 27–29 …”

Section: Introductionmentioning

confidence: 99%

Causal discovery and inference for evaluating fire resistance of structural members through causal learning and domain knowledge

Naser

Çiftçioğlu

2023

Structural Concrete

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Experiments remain the gold standard to establish an understanding of firerelated phenomena. A primary goal in designing tests is to uncover the data generating process (i.e., the how and why the observations we see come to be); or simply what causes such observations. Uncovering such a process not only advances our knowledge but also provides us with the capability to be able to predict phenomena accurately. This paper presents an approach that leverages causal discovery and causal inference to evaluate the fire resistance of structural members. In this approach, causal discovery algorithms are adopted to uncover the causal structure between key variables pertaining to the fire resistance of reinforced concrete columns. Then, companion inference algorithms are applied to infer (estimate) the influence of each variable on the fire resistance given a specific intervention. Finally, this study ends by contrasting the algorithmic causal discovery with that obtained from domain knowledge and traditional machine learning. Our findings clearly show the potential and merit of adopting causality into our domain.

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Evaluation of post-fire residual resistance of RC columns considering non-mechanical deformations

Cited by 10 publications

References 24 publications

Analysis of the results of a survey on a residential building after a gas explosion and fire

Analysis of the results of a survey on a residential building after a gas explosion and fire

Overview of research on fire effects in RC elements and assessment of RC structures after fire

Causal discovery and inference for evaluating fire resistance of structural members through causal learning and domain knowledge

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