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Outputs (6)

The structural behavior of recycled aggregate concrete walls under fire exposure: A finite element analysis (2024)
Presentation / Conference Contribution

Climate change is raising the demand for change in the construction industry, particularly in the concrete industry. One of the approaches to increase sustainability in the concrete industry is the use of recycled aggregate concrete (RAC). Many studi... Read More about The structural behavior of recycled aggregate concrete walls under fire exposure: A finite element analysis.

Impact of the variability of material constitutive models on the thermal response of reinforced concrete walls (2024)
Journal Article

Purpose: This study examines the effect of temperature-dependent material models for normal-strength (NSC) and high-strength concrete (HSC) on the thermal analysis of reinforced concrete (RC) walls. Design/methodology/approach: The study performs an... Read More about Impact of the variability of material constitutive models on the thermal response of reinforced concrete walls.

Assessment of critical parameters affecting the behaviour of bearing reinforced concrete walls under fire exposure (2023)
Journal Article

Purpose: This 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/approach: A three-dimensional (3D) finite element... Read More about Assessment of critical parameters affecting the behaviour of bearing reinforced concrete walls under fire exposure.

Generalized temperature-dependent material models for compressive strength of masonry using fire tests, statistical methods and artificial intelligence (2022)
Journal Article

Masonry has superior fire resistance properties stemming from its inert characteristics, and slow degradation of mechanical properties. However, once exposed to fire conditions, masonry undergoes a series of physio-chemical changes. Such changes are... Read More about Generalized temperature-dependent material models for compressive strength of masonry using fire tests, statistical methods and artificial intelligence.