Generalized temperature-dependent material models for compressive strength of masonry using fire tests, statistical methods and artificial intelligence

Daware, Aditya; Naser, M.Z.; Karaki, Ghada

doi:10.1007/s44150-021-00019-4

Cited by 3 publications

(6 citation statements)

References 27 publications

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“…A comparative analysis of our test results pertaining to the residual strength and while hot (bot which was unstressed) notes that there is an additional loss of strength observed for the residual specimens (i.e., those heated and cooled down to ambient conditions and then tested after 2 weeks). This analysis agrees with that reported by Abrams 43 and Malhotra, 44 who, individually, reported a difference of about 20% between the two states.…”

Section: Hot Statesupporting

confidence: 93%

“…Interestingly, at 200°C, a 10% increase in compressive strength was observed in Abrams 42 . This slight increase is possibly due to the presence of lightweight aggregate 43 . The same effect is not apparent in the residual conditions.…”

Section: Results Of Fire Testsmentioning

confidence: 92%

“…The same effect is not apparent in the residual conditions. This is likely due to moisture re‐absorption from the atmosphere while storing the post‐heated specimens, as noted by Abrams, 43 or the possible increase of structural damage due to cracks upon cooling, as noted by Malhotra. 44…”

Section: Results Of Fire Testsmentioning

confidence: 97%

“…43 The same effect is not apparent in the residual conditions. This is likely due to moisture re-absorption from the atmosphere while storing the post-heated specimens, as noted by Abrams, 43 or the possible increase of structural damage due to cracks upon cooling, as noted by Malhotra. 44 At the present moment, we speculate that the reason for this increase in strength in hot conditions (at 200 C) and lower strengths in residual conditions could possibly be due to the compatible volumetric expansions in hot conditions between the cement paste and aggregate.…”

Section: Hot Statementioning

confidence: 92%

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Examining the behavior of concrete masonry units under fire and post‐fire conditions

et al. 2022

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Masonry is an inert construction material with favorable thermal and mechanical properties. While masonry is widely used in buildings, the fire performance of this material has not received much attention over the years. This continues to hinder the understanding of the fire behavior of masonry. To bridge this knowledge gap, this study presents the results of an experimental campaign carried out on concrete masonry blocks (CMUs) to investigate fire-induced degradation of the compressive strength of CMUs under elevated temperatures and post-fire conditions. In this campaign, steady-state tests were conducted; wherein standard-sized CMUs are exposed to a heating scenario ranging from 25 to 800 C followed by cooling to ambient temperature. In addition, these tests were also complimented with a thermogravimetric (TGA) analysis to arrive at a comprehensive understanding of the degradation of the strength property of masonry. Results from the tests clearly show that the degradation in CMUs is lower than that typically observed in normal strength concrete. Furthermore, our findings also infer that masonry is capable of retaining a larger percentage of strength when tested under post-fire conditions as opposed to being under heating.

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Section: Hot Statesupporting

confidence: 93%

Section: Results Of Fire Testsmentioning

confidence: 92%

Section: Results Of Fire Testsmentioning

confidence: 97%

Section: Hot Statementioning

confidence: 92%

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Examining the behavior of concrete masonry units under fire and post‐fire conditions

et al. 2022

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“…To develop an appropriate methodology, statistical and ANN models were constructed, ran in parallel, and finally compared with each other. Utilising experimental data previously published in scientific literature, the prediction of the residual compressive capacity of masonry post exposure to fire was made possible without further testing or FE modelling [54]. Instead of trying to understand the performance of walls post fire exposure, other studies tried to optimise their design and thermal behaviour at the specification stage.…”

Section: Optimisation and Standardisation Of Designmentioning

confidence: 99%

Meta-Narrative Review of Artificial Intelligence Applications in Fire Engineering with Special Focus on Heat Transfer through Building Elements

Bakas

Kontoleon

2023

Fire

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Artificial intelligence (AI), as a research and analysis method, has recently been gaining ground in the ever-evolving scientific field of fire engineering in buildings. Despite the initial delay in utilising machine learning and neural networks due to the shortfall of available computational power, a review of cutting-edge scientific research demonstrates that scientists are now exploring and routinely incorporating such systems in their research processes. As such, a considerable volume of new research is being produced comprising applications of AI in fire engineering. These findings and research questions ought to be summarised, organised, and made accessible for further investigation and refinement. The present study aims to identify recent scientific publications relating to artificial intelligence applications in fire engineering, with particular focus on those tackling the issue of heat transfer through building elements. The method of the meta-narrative review, as implemented in the field of medical advancement research, is discussed, adapted, and finally utilised to weave a narrative that enables the reader to follow the most recent, influential, and impactful works. Efforts are made to uncover trends in the search for heat transfer models and properties under fire loading using AI. The review concludes with our thoughts on how future research can enrich the current findings on heat transfer in buildings exposed to fire actions and elevated temperatures.

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Assessment of critical parameters affecting the behaviour of bearing reinforced concrete walls under fire exposure

Assad,

Hawileh,

Karaki

et al. 2023

JSFE

Self Cite

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PurposeThis research paper aims to investigate reinforced concrete (RC) walls' behaviour under fire and identify the thermal and mechanical factors that affect their performance.Design/methodology/approachA three-dimensional (3D) finite element (FE) model is developed to predict the response of RC walls under fire and is validated through experimental tests on RC wall specimens subjected to fire conditions. The numerical model incorporates temperature-dependent properties of the constituent materials. Moreover, the validated model was used in a parametric study to inspect the effect of the fire scenario, reinforcement concrete cover, reinforcement ratio and configuration, and wall thickness on the thermal and structural behaviour of the walls subjected to fire.FindingsThe developed 3D FE model successfully predicted the response of experimentally tested RC walls under fire conditions. Results showed that the fire resistance of the walls was highly compromised under hydrocarbon fire. In addition, the minimum wall thickness specified by EC2 may not be sufficient to achieve the desired fire resistance under considered fire scenarios.Originality/valueThere is limited research on the performance of RC walls exposed to fire scenarios. The study contributed to the current state-of-the-art research on the behaviour of RC walls of different concrete types exposed to fire loading, and it also identified the factors affecting the fire resistance of RC walls. This guides the consideration and optimisation of design parameters to improve RC walls performance in the event of a fire.

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Generalized temperature-dependent material models for compressive strength of masonry using fire tests, statistical methods and artificial intelligence

Cited by 3 publications

References 27 publications

Examining the behavior of concrete masonry units under fire and post‐fire conditions

Examining the behavior of concrete masonry units under fire and post‐fire conditions

Meta-Narrative Review of Artificial Intelligence Applications in Fire Engineering with Special Focus on Heat Transfer through Building Elements

Assessment of critical parameters affecting the behaviour of bearing reinforced concrete walls under fire exposure

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