Search Results - "Naser, M.Z."

Deriving temperature-dependent material models for structural steel through artificial intelligence by Naser, M.Z.

“…•Temperature-dependent material models are derived using artificial intelligence.•Unified and unbiased material models for fire resistance analysis are…”
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Properties and material models for modern construction materials at elevated temperatures by Naser, M.Z.

“…[Display omitted] •ANN and GAs are used to comprehend material behavior under extreme conditions.•Properties of modern construction materials at elevated…”
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Fiber-reinforced polymer composites in strengthening reinforced concrete structures: A critical review by Naser, M.Z., Hawileh, R.A., Abdalla, J.A.

“…•Review of Fiber-reinforced polymer (FRP) composites in infrastructure is presented.•Performance of FRP strengthening systems in extreme conditions is…”
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Finite element modeling of reinforced concrete beams externally strengthened in flexure with side-bonded FRP laminates by Hawileh, R.A., Musto, H.A., Abdalla, J.A., Naser, M.Z.

“…Reinforced concrete (RC) beams are often strengthened through externally bonded (EB) fiber-reinforced polymer (FRP) systems. In such applications, improving…”
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High temperature properties of fiber reinforced polymers and fire insulation for fire resistance modeling of strengthened concrete structures by Kodur, V.K.R., Bhatt, P.P., Naser, M.Z.

“…Temperature dependent properties of materials are a crucial input for evaluating fire resistance of a structural member through calculation methods. While…”
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Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Engineering, Medicine, Policy, and Physics by M.Z. Naser

“…This short paper compiles the main concepts behind some philosophical views, definitions, and examples of causality. This collection spans the realms of the…”
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Deriving mapping functions to tie anthropometric measurements to body mass index via interpretable machine learning by Naser, M.Z.

“…This paper aims at leveraging recent advancements in interpretable machine learning to better understand how anthropometric measurements can be tied to body…”
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Autonomous detection of concrete damage under fire conditions by Andrushia, A. Diana, Anand, N., Neebha, T. Mary, Naser, M.Z., Lubloy, Eva

“…The rapid advancement in computer vision has facilitated new means for the automatic assessment of structural damages. This study aims to develop a deep…”
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Nanomaterials in geopolymer composites: A review by Samuvel Raj, R., Prince Arulraj, G., Anand, N., Kanagaraj, Balamurali, Lubloy, Eva, Naser, M.Z.

“…Nanomaterials (NMs) are being used to enhance the properties of construction materials. This review focuses on the use of NMs to improve the characteristics of…”
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Characterizing egress components for wheelchair users in dormitory building fires by Hostetter, Haley, Naser, M.Z.

“…People with disabilities are among the most vulnerable groups in building fires. According to the U.S. Fire Administration, an estimated 700 home fires involve…”
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Machine learning for wildfire classification: Exploring blackbox, eXplainable, symbolic, and SMOTE methods by Al-Bashiti, Mohammad Khaled, Naser, M.Z.

“…Whether triggered by natural or human-made events, wildfires are considered one of the most traumatic events to our community and environment. Thus, properly…”
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Physical characteristics and mechanical properties of a sustainable lightweight geopolymer based self-compacting concrete with expanded clay aggregates by Kanagaraj, Balamurali, Anand, N., Praveen, B., Kandasami, Sivakumar, Lubloy, Eva, Naser, M.Z.

“…Geopolymer Concrete (GPC) is a unique and sustainable building material that has the potential to be transformed into a self-compacted lightweight composite…”
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Thermal-stress analysis of RC beams reinforced with GFRP bars by Hawileh, R.A., Naser, M.Z.

“…This paper aims to develop a 3D nonlinear finite element (FE) model that is capable of accurately predicting the performance of reinforced concrete (RC) beams…”
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Dataset on fire resistance analysis of FRP-strengthened concrete beams by Bhatt, P.P., Kodur, V.K.R., Naser, M.Z.

“…Machine learning (ML) has emerged as an efficient and feasible technique for tackling engineering problems. Despite the numerous advantages, the implementation…”
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Investigation on residual bond strength and microstructure characteristics of fiber-reinforced geopolymer concrete at elevated temperature by Vijaya Prasad, B., Anand, N., Kanagaraj, Balamurali, Kiran, Tattukolla, lubloy, Eva, Naser, M.Z., Arumairaj, P.D., Andrushia, Diana

“…Fiber-reinforced geopolymer concrete has been attracting attention and interest worldwide due to its sustainable properties. However, few studies have reported…”
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Corrigendum to “Influence of protective coating on flexural behaviour of high strength self-compacting geopolymer concrete beams exposed to standard fire temperature” [Case Stud. Constr. Mater., vol. 19 (2023) 1–27/e02468] by Kanagaraj, Balamurali, Anand, N., Jerry, Rohith, Raj, R. Samuvel, Andrushia, Diana, Lubloy, Eva, Naser, M.Z.

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A comprehensive study on engineering and sustainability characteristics with emphasizing on 3R's approach in building construction by Raj R, Samuvel, Arulraj, G. Prince, Anand, N., Kanagaraj, Balamurali, Naser, M.Z., Lubloy, Eva

“…The study assesses the mechanical efficiency, long-lasting characteristics, microstructure, and sustainability of sustainable concrete (SC) samples through…”
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A review on machine learning and deep learning image-based plant disease classification for industrial farming systems by Sajitha, P., Andrushia, A. Diana, Anand, N., Naser, M.Z.

“…Plants can be affected by various diseases. As such, the early detection of crop diseases plays an essential role in the farming industry. However, such…”
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Properties and material models for common construction materials at elevated temperatures by Naser, M.Z.

“…•A novel framework for deriving temperature-dependent material models is presented.•The framework leverages AI to understand material behavior under extreme…”
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AI-based cognitive framework for evaluating response of concrete structures in extreme conditions by Naser, M.Z.

“…In order to highlight the potential of Artificial Intelligence (AI) in the field of engineering for extreme conditions, this study offers insights into…”
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