Literature DB >> 33396340

Effects of Saturation Levels on the Ultrasonic Pulse Velocities and Mechanical Properties of Concrete.

Ma Doreen Esplana Candelaria1,2, Seong-Hoon Kee1, Jurng-Jae Yee1, Jin-Wook Lee3.   

Abstract

The main objective of this research is to investigate the effect of water content in concrete on the velocities of ultrasonic waves (P- and S-waves) and mechanical properties (elastic modulus and compressive strength) of concrete. For this study, concrete specimens (100 mm × 200 mm cylinders) were fabricated with three different water-to-binder ratios (0.52, 0.35, and 0.26). These cylinders were then submerged in water to be saturated in different degrees from 25% to 100% with an interval of 25% saturation. Another set of cylinders was also oven-dried to represent the dry condition. The dynamic properties of concrete were then assessed using a measurement of elastic wave accordance with ASTM C597-16 and using resonance tests following ASTM C215-19, before and after immersion in water. The static properties of saturated concrete were also assessed by the uniaxial compressive testing according to ASTM C39/C39M-20 and ASTM C469/C469M-14. It was observed that the saturation level of concrete affected the two ultrasonic wave velocities and the two static mechanical properties of concrete in various ways. The relationship between P-wave velocity and compressive strength of concrete was highly sensitive to saturation condition of concrete. In contrast, S-wave velocity of concrete was closely correlated with compressive strength of concrete, which was much less sensitive to water saturation level compared to P-wave velocity of concrete. Finally, it was noticed that water saturation condition only little affects the relationship between the dynamic and elastic moduli of elasticity of concrete studies in this study.

Entities:  

Keywords:  concrete; condition assessment; saturation level; ultrasonic pulse wave velocity

Year:  2020        PMID: 33396340     DOI: 10.3390/ma14010152

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  1 in total

1.  Prediction of Compressive Strength of Partially Saturated Concrete Using Machine Learning Methods.

Authors:  Ma Doreen Esplana Candelaria; Seong-Hoon Kee; Kang-Seok Lee
Journal:  Materials (Basel)       Date:  2022-02-23       Impact factor: 3.623

  1 in total

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