LAPSE:2023.4375
Published Article

LAPSE:2023.4375
Influencing Factors on the Accuracy of Soil Calibration Models by EDG
February 23, 2023
Abstract
Compaction is an important standard in evaluating the quality of earth filling work. The EDG, an electrical density gauge, is a new type of fast and nondestructive compaction detection equipment. It is used to test the dry density and water content of the soil by establishing a soil calibration model while the accuracy of measurement is mainly based on the precision of equation of calibration model. In this paper, the factors affecting the accuracy of the soil calibration model were studied by an indoor calibration test, and soil samples were prepared to verify the accuracy of the soil calibration model. The test results showed that the dry density range, water content range, and sample quantity 13 samples of soil had a significant influence on the correlation coefficient (R2) of the equation of the soil calibration model. In addition, when using the calibration model with different sample numbers and sample combinations but similar correlation coefficients to test multiple groups of density and moisture content, there are also differences in the expected value and standard deviation of the error probability curve of the test results. In the engineering practice, the reasonable sample quantity was determined by the applicable range of dry density and water content obtained from the measurement error analysis of the soil calibration model.
Compaction is an important standard in evaluating the quality of earth filling work. The EDG, an electrical density gauge, is a new type of fast and nondestructive compaction detection equipment. It is used to test the dry density and water content of the soil by establishing a soil calibration model while the accuracy of measurement is mainly based on the precision of equation of calibration model. In this paper, the factors affecting the accuracy of the soil calibration model were studied by an indoor calibration test, and soil samples were prepared to verify the accuracy of the soil calibration model. The test results showed that the dry density range, water content range, and sample quantity 13 samples of soil had a significant influence on the correlation coefficient (R2) of the equation of the soil calibration model. In addition, when using the calibration model with different sample numbers and sample combinations but similar correlation coefficients to test multiple groups of density and moisture content, there are also differences in the expected value and standard deviation of the error probability curve of the test results. In the engineering practice, the reasonable sample quantity was determined by the applicable range of dry density and water content obtained from the measurement error analysis of the soil calibration model.
Record ID
Keywords
compaction, correlation coefficient, electrical density gauge, measurement error, soil calibration model
Subject
Suggested Citation
Yang H, Yang X, Zhang M, Hou J. Influencing Factors on the Accuracy of Soil Calibration Models by EDG. (2023). LAPSE:2023.4375
Author Affiliations
Yang H: Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
Yang X: Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
Zhang M: Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
Hou J: Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
Yang X: Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
Zhang M: Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
Hou J: Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
Journal Name
Processes
Volume
9
Issue
11
First Page
1892
Year
2021
Publication Date
2021-10-22
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9111892, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.4375
This Record
External Link

https://doi.org/10.3390/pr9111892
Publisher Version
Download
Meta
Record Statistics
Record Views
393
Version History
[v1] (Original Submission)
Feb 23, 2023
Verified by curator on
Feb 23, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.4375
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.08 seconds)
[0.08 s]
