Evaluation of Fire-Damaged Concrete: An Experimental Analysis based on Destructive and Nondestructive Methods

• Published in: International journal of concrete structures and materials Vol. 11; no. 3; pp. 447 - 457
• Main Authors: Park, Gang-Kyu, Yim, Hong Jae
• Format: Journal Article
• Language: English
• Published: Dordrecht 한국콘크리트학회 01.09.2017; Springer Netherlands; Springer Nature B.V; SpringerOpen
• Subjects: Building Materials; Compressive strength; Concrete; Correlation analysis; correlation study; Damage assessment; Damage detection; Defects; Destructive testing; Elastic properties; Engineering; Fire damage; fire-damaged concrete; Mechanical properties; mechanical property; Methods; Modulus of elasticity; Nondestructive testing; nonlinear ultrasonic method; Nonlinearity; Parameter identification; Property damage; Regression analysis; Solid Mechanics; Structural Materials; Ultrasonic testing; 토목공학; correlation study; fire-damaged concrete; mechanical property; nonlinear ultrasonic method
• ISSN: 1976-0485; 2234-1315
• DOI: 10.1007/s40069-017-0211-x

Fire damage to concrete causes contact-type defects that degrade its durability through impaired mechanical properties. Various nondestructive tests are used to evaluate defects induced by fire damage. Recently, nonlinear ultrasonic methods such as the nonlinear resonance vibration method and nonlinear modulation method have been introduced. These nonlinear methods are more sensitive to fire-induced contact-type defects than the linear ultrasonic method. This study involved an experimental analysis of the residual material properties of fire-damaged concrete, specifically, compressive strength, splitting tensile strength, and static elastic modulus. The residual material properties of 116 cylindrical concrete samples with various mix proportions and subjected to various heating temperatures were measured by a destructive method, and their nonlinearity parameters were measured by two nonlinear ultrasonic methods. Through regression analysis, correlated relationships that can facilitate the prediction of residual material properties of fire-damaged concrete using measured nonlinearity parameters were identified. In addition, the effect of fire damage on the mechanical strength of concrete was investigated by comparison with the relationships for undamaged concrete, and relationships for the evaluation of fire-damaged concrete were identified through regression analysis.