Buch, Englisch, 128 Seiten, Format (B × H): 156 mm x 234 mm
Natural Carbonation and Service Life Modeling
Buch, Englisch, 128 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-041-08350-4
Verlag: CRC Press
Carbonation-induced corrosion of reinforced concrete is among the most widespread durability problems affecting service life of structures, and it underscores the need to develop quantitative engineering methods. This book promulgates the Natural Carbonation Prediction (NCP) model derived through experiments, data mining and analyses, along with mathematical formulations and refinements. It initially delves into fundamental concepts on corrosion of reinforced concrete, before employing approaches to service life design based on the applicative and practical stochastic methods supported by independent data.
Features:
- Focusses on corrosion due to carbonation of Portland cement-based concrete.
- Covers natural carbonation mechanisms, and probabilistic service life design through reliability analysis and Monte Carlo simulation.
- Presents a practical model for prediction of carbonation rate using a mathematical framework that incorporates key parameters for consideration in the engineering design process.
- Using data from worldwide sources, various case studies from different countries globally, are employed comparing measurements with carbonation predictions.
- Delves into carbonation modelling, originating from theoretical underpinnings based on Fick’s laws of diffusion.
This book is aimed at graduate students, researchers and professionals in civil engineering, concrete technology and the built environment.
Zielgruppe
Academic and Postgraduate
Autoren/Hrsg.
Weitere Infos & Material
Chapter 1. Introduction
Chapter 2. Steel corrosion and service life
Chapter 3. The natural carbonation prediction (NCP) model and methodology
Chapter 4. Experimental justification of NCP model
Chapter 5. Validation of NCP model’s application to real - life concrete structures
Chapter 6. Probabilistic service life design and analysis