Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …
original properties. High temperatures substantially affect the concrete physical and …
Machine learning in concrete science: applications, challenges, and best practices
Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …
human development. Despite conceptual and methodological progress in concrete science …
Fire-induced spalling of ultra-high performance concrete: A systematic critical review
Ultra-high performance concrete (UHPC) is a novel concrete class characterized by a
compressive strength of more than 150 MPa. One of the most significant drawbacks of …
compressive strength of more than 150 MPa. One of the most significant drawbacks of …
Strategy for preventing explosive spalling and enhancing material efficiency of lightweight ultra high-performance concrete
The highly dense structure which causes the risk of explosive spalling is one of the major
limitations of using ultra high-performance concrete (UHPC). This study developed a …
limitations of using ultra high-performance concrete (UHPC). This study developed a …
Verifying domain knowledge and theories on Fire-induced spalling of concrete through eXplainable artificial intelligence
This paper adopts eXplainable Artificial Intelligence (XAI) to identify the key factors
influencing fire-induced spalling of concrete and to extract new insights into the …
influencing fire-induced spalling of concrete and to extract new insights into the …
[HTML][HTML] Machine learning for all! Benchmarking automated, explainable, and coding-free platforms on civil and environmental engineering problems
MZ Naser - Journal of Infrastructure Intelligence and Resilience, 2023 - Elsevier
One of the key challenges in fully embracing machine learning (ML) in civil and
environmental engineering revolves around the need for coding (or programming) …
environmental engineering revolves around the need for coding (or programming) …
[HTML][HTML] Intelligent predicting and monitoring of ultra-high-performance fiber reinforced concrete composites− A review
Ultra-high-performance fiber reinforced concrete (UHPFRC) is an advanced composite
known for its exceptional mechanical properties and durability, playing a vital role in modern …
known for its exceptional mechanical properties and durability, playing a vital role in modern …
[BOOK][B] Machine learning for civil and environmental engineers: A practical approach to data-driven analysis, explainability, and causality
MZ Naser - 2023 - books.google.com
Accessible and practical framework for machine learning applications and solutions for civil
and environmental engineers This textbook introduces engineers and engineering students …
and environmental engineers This textbook introduces engineers and engineering students …
Can domain knowledge benefit machine learning for concrete property prediction?
Understanding and predicting process–structure–property–performance relationships for
concrete materials is key to designing resilient and sustainable infrastructure. While …
concrete materials is key to designing resilient and sustainable infrastructure. While …
Assessment of corrosion probability of steel in mortars using machine learning
Corrosion assessment enables engineers to quickly discern the corrosion status of steel in
concrete structures. However, existing assessment methods mainly rely on a single-factor …
concrete structures. However, existing assessment methods mainly rely on a single-factor …