A Study on Testing Concrete Strength by Inversely Regressed Synthesis Ultrasonic-rebound Method
Wantong Cai, Guoping Cen, Wenzhe Li, Bo Fan
Available Online June 2017.
- https://doi.org/10.2991/icmia-17.2017.13How to use a DOI?
- Ultrasonic method; Rebound method; Data fusion; Strength-measuring curve; Nondestructive testing of concrete
- Ultrasonic-rebound combined method (UCM) is widely adopted to test concrete strength at present. Although it makes up for some shortcomings of rebound method and ultrasonic method respectively, its precision is far below the requirements of engineering. Based on the thought data fusion and inverse regression model, this paper puts forward inversely regressed synthesis ultrasonic-rebound method (IRSUM). By combining rebound method and ultrasonic method to conduct strength testing and applying data fusion method of unequal precision measurement in inverse regression problems to data processing, this paper finds a new method of IRSUM to do nondestructive testing of concrete strength. Also, IRSUM and UCM is adopted to calculate the strength of five groups, C15, C20, C30, C40 and C50, which include 90 test specimens. Then it is compared with the actual compressive strength of the test specimens, and the author finds the result of IRSUM is more close to the actual strength value than that of UCM. IRSUM can evidently increase the precision of nondestructive testing of concrete strength as the average value of relative error's absolute value reduces 63% and the variance of relative error's absolute value reduces 80%. Besides, the method of this paper can be extended to data fusion problems of measuring values with different dimensions.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wantong Cai AU - Guoping Cen AU - Wenzhe Li AU - Bo Fan PY - 2017/06 DA - 2017/06 TI - A Study on Testing Concrete Strength by Inversely Regressed Synthesis Ultrasonic-rebound Method BT - 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmia-17.2017.13 DO - https://doi.org/10.2991/icmia-17.2017.13 ID - Cai2017/06 ER -