Application of Fuzzy Pattern Recognition in Spalling Risk Evaluation of Concrete Structures at High Temperature

Abstract:

Spalling phenomenon in concrete exposed to high temperatures, e.g. during a fire, can seriously jeopardize the integrity of a whole structure. Spalling risk analysis and evaluation has become the hot topic of research on fire-resistance behavior of concrete structures at present. Based on fuzzy pattern recognition, a model for evaluating spalling risk of concrete structures at high temperature is established according to the factors influencing explosive spalling. The influential factor set is composed of strength, water/cement ratio, fibres content, curing humidity, load level, and heating rate, whose weights are determined by their relative importance. Good agreements between the results of spalling risk prediction and the fire test show the capability of the proposed model in assessing the spalling risk of concrete structures at high temperature, which will provide important reference for the fire resistance design of concrete structures.

• Periodical: Advanced Materials Research (Volumes 919-921)
• Pages: 451-454
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.919-921.451
• Online since: April 2014
• Authors: Rong Tao Li*
• Keywords: Concrete Structure, Fuzzy Pattern Recognition, High-Temperature, Spalling Risk

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