Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives

NF Alkayem, L Shen, A Mayya, PG Asteris, R Fu… - Journal of Building …, 2023 - Elsevier
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …

Multiphase CFD modelling for enclosure fires—A review on past studies and future perspectives

ACY Yuen, IM De Cachinho Cordeiro… - Experimental and …, 2022 - Springer
Modern buildings and structures are commonly equipped with fire safety detection and
protection systems. Owing to the complexity in building architectures, performance-based …

[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases

M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

Machine learning-based surrogate model for calibrating fire source properties in FDS models of façade fire tests

HT Nguyen, Y Abu-Zidan, G Zhang, KTQ Nguyen - Fire Safety Journal, 2022 - Elsevier
Calibration is an important step in the development of predictive numerical models that
involves adjusting input parameters not easily measured in experiments to improve the …

Predicting heat release properties of flammable fiber-polymer laminates using artificial neural networks

HT Nguyen, KTQ Nguyen, TC Le, L Soufeiani… - … Science and Technology, 2021 - Elsevier
Heat release rate is an important fire reaction property used to quantify the flammability of
composite materials in fire. In this study, an artificial neural network (ANN) model was …

Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in architectural design and engineering: applications, framework, and challenges

N Rane, S Choudhary, J Rane - 2023 - papers.ssrn.com
This research paper delves into the integration of advanced generative artificial intelligence
(AI) models, such as ChatGPT, Bard, and similar architectures, within the realms of …

Recent advances in battery pack polymer composites

B Azzopardi, A Hapid, S Kaleg, D Onggo, AC Budiman - Energies, 2023 - mdpi.com
The use of a polymer composite material in electric vehicles (EVs) has been extensively
investigated, especially as a substitute for steel. The key objective of this manuscript is to …

Recent advances in flame retardant polymers via thiol-ene click chemistry

E Çakmakçı - Journal of Macromolecular Science, Part A, 2023 - Taylor & Francis
Within the toolbox of click chemistry, the utilization of thiol-ene reactions for polymer
synthesis and modification is a current area of intense attention. Thiol-ene click reactions are …

[PDF][PDF] Artificial Intelligent in Optimization of Steel Moment Frame Structures: A Review

M Soori, FKG Jough - International Journal of Structural and …, 2024 - hal.science
The integration of Artificial Intelligence (AI) techniques in the optimization of steel moment
frame structures represents a transformative approach to enhance the design, analysis, and …

Applications of artificial intelligence in fire safety of agricultural structures

C Maraveas, D Loukatos, T Bartzanas, KG Arvanitis - Applied Sciences, 2021 - mdpi.com
Artificial intelligence applications in fire safety of agricultural structures have practical
economic and technological benefits on commercial agriculture. The FAO estimates that …