Experimental Research into the Ultrasonic P-Wave Velocity of Coal Slime Based Backfill Material
Open Access
- 7 October 2023
- journal article
- research article
- Published by MDPI AG in Applied Sciences
- Vol. 13 (19) , 11043
Abstract
To study the influences of different mix proportions of materials on the ultrasonic p-wave velocity of coal slime based backfill materials, influences of four factors on the p-wave velocity of specimens were investigated by designing orthogonal tests and taking coal slime as the principal raw material. The four factors included the following: (A) the mass concentration of coal slime, (B) the content of high-water-content material, (C) cement content, (D) and content of fly ash. Test results revealed the following: (1) the ultrasonic p-wave velocity is in the range of 3.916 to 8.319 km/s and various factors are listed in a descending order as A, D, B, and C according to their influences on the ultrasonic p-wave velocity; (2) the ultrasonic p-wave velocity is positively correlated with the compressive strength and shear strength, with correlation coefficients separately of 0.87 and 0.65; (3) the equations for variations in the ultrasonic p-wave velocity under influences of different factors are fitted. The ultrasonic p-wave velocity has a quadratic polynomial relationship with factor A, while following exponential relationships with factors B, C, and D. A predictive model for characteristic parameters of the ultrasonic p-wave velocity of coal slime based backfill materials jointly influenced by the four factors was established based on the fitting equation for variations of single factors and ultrasonic p-wave velocity. The predictive model was then verified.Keywords
Funding Information
- National Natural Science Foundation of China (52274117, 52174128)
This publication has 4 references indexed in Scilit:
- Influence of mix parameters on pore properties and modulus of pervious concrete: an application of ultrasonic pulse velocityMaterials and Structures, 2016
- Predicting the uniaxial compressive strength of cemented paste backfill from ultrasonic pulse velocity testNondestructive Testing and Evaluation, 2015
- Strength and ultrasonic properties of cemented paste backfillUltrasonics, 2014
- Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networksUltrasonics, 2009