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Fire Behaviour and the Residual Mechanical Properties of Structural Concrete helps readers understand these processes, enabling engineers and researchers to develop effective fire protection measures and design guidelines for concrete structures. Studying the behavior of concrete under fire is crucial for understanding the performance and safety of concrete structures in fire conditions. Concrete is widely used in the construction industry due to its strength, durability, and fire resistance properties. However, even though concrete is inherently fire-resistant, it can still be affected by high temperatures.
When concrete is exposed to fire, several physical and chemical processes take place that can lead to its deterioration and eventual failure. This book helps readers understand these processes, enabling engineers and researchers to develop effective fire protection measures and design guidelines for concrete structures.
Sommario
1. Introduction
2. Fire behaviour of structural concrete
3. Residual mechanical properties of traditional concrete
4. Residual mechanical properties of fibre-reinforced concrete
5. Residual mechanical properties of self-compacting concrete
6. Residual mechanical properties of geopolymer concrete
7. Microstructure analysis of fire-exposed concrete
8. Passive fire protection techniques
9. Soft computing techniques for concrete crack detection
10. Recommendations and scope for future studies
Info autore
Dr. N Anand is an Associate Professor in the Department of Civil Engineering, Karunya University, India. He has authored over 100 research papers journals (SCI/Scopus) and conferences. He works in the areas of Structural Fire Engineering, Sustainability in Built Environment, and Soft Computing Techniques (AI/ML) for Damage Detection in Structural Elements.Dr Balamurali Kanagaraj is based at the Department of Civil Engineering, Karunya Institute of Technology and Sciences, India. Research interests include: Structural Engineering/Concrete TechnologyDr. Diana Andrushia is based at the Department of Electronics and Communication Engineering. Research interests include: Artificial Intelligence/Pattern Recognition/Machine Learning
