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Development of soil compaction analysis software (SCAN) integrating a low cost GPS receiver and compactometer.

Hwang J, Yun H, Kim J, Suh Y, Hong S, Lee D - Sensors (Basel) (2012)

Bottom Line: The SCAN is distinguished from other previous software for intelligent compaction (IC) in that it can use the results from various types of GPS positioning methods, and it also has an optimal structure for remotely managing the large amounts of data gathered from numerous rollers.For this, several methods were developed: (1) improving the accuracy of low cost GPS receiver's positioning results; (2) modeling the trajectory of a moving roller using a GPS receiver's results and linking it with the data from the compactometer; and (3) extracting the information regarding the compaction states of the ground from the modeled trajectory, using spatial analysis methods.The SCAN was verified throughout various field compaction tests, and it has been confirmed that it can be a very effective tool in evaluating field compaction states.

View Article: PubMed Central - PubMed

Affiliation: Department of Civil, Architectural & Environmental Engineering, Sungkyunkwan University, Suwon 440-746, Korea. gpsboy@skku.edu

ABSTRACT
A software for soil compaction analysis (SCAN) has been developed for evaluating the compaction states using the data from the GPS as well as a compactometer attached on the roller. The SCAN is distinguished from other previous software for intelligent compaction (IC) in that it can use the results from various types of GPS positioning methods, and it also has an optimal structure for remotely managing the large amounts of data gathered from numerous rollers. For this, several methods were developed: (1) improving the accuracy of low cost GPS receiver's positioning results; (2) modeling the trajectory of a moving roller using a GPS receiver's results and linking it with the data from the compactometer; and (3) extracting the information regarding the compaction states of the ground from the modeled trajectory, using spatial analysis methods. The SCAN was verified throughout various field compaction tests, and it has been confirmed that it can be a very effective tool in evaluating field compaction states.

No MeSH data available.


Field data analysis results at site E. (a) Compaction times from GPS data only; (b) Compaction meter value (CMV); (c) Vibrating frequency; (d) Resonant meter value (RMV). The values of (b), (c) and (d) were obtained from the combination of GPS and compactometer data.
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f9-sensors-12-02351: Field data analysis results at site E. (a) Compaction times from GPS data only; (b) Compaction meter value (CMV); (c) Vibrating frequency; (d) Resonant meter value (RMV). The values of (b), (c) and (d) were obtained from the combination of GPS and compactometer data.

Mentions: Figure 9 shows analysis results of the number of roller passes, compaction properties, CMV, RMV, and vibration frequency using data from a roller at site E. The roller was operated at 20, 26, and 30 Hz, and there was a maximum of twelve roller passes at site E. Especially, Figure 9(b) shows the CMV and relative degree of compaction obtained from the compactometer. The CMV of the area through which the roller had passed at least four times was generally greater than the CMV of the other areas. Thus, the number of passes, the vibration frequency, the CMV varying from 0 to 80, and the RMV varying from 0 to 4 were effectively displayed by SCAN in order to characterize the state of roller compaction at site E.


Development of soil compaction analysis software (SCAN) integrating a low cost GPS receiver and compactometer.

Hwang J, Yun H, Kim J, Suh Y, Hong S, Lee D - Sensors (Basel) (2012)

Field data analysis results at site E. (a) Compaction times from GPS data only; (b) Compaction meter value (CMV); (c) Vibrating frequency; (d) Resonant meter value (RMV). The values of (b), (c) and (d) were obtained from the combination of GPS and compactometer data.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376573&req=5

f9-sensors-12-02351: Field data analysis results at site E. (a) Compaction times from GPS data only; (b) Compaction meter value (CMV); (c) Vibrating frequency; (d) Resonant meter value (RMV). The values of (b), (c) and (d) were obtained from the combination of GPS and compactometer data.
Mentions: Figure 9 shows analysis results of the number of roller passes, compaction properties, CMV, RMV, and vibration frequency using data from a roller at site E. The roller was operated at 20, 26, and 30 Hz, and there was a maximum of twelve roller passes at site E. Especially, Figure 9(b) shows the CMV and relative degree of compaction obtained from the compactometer. The CMV of the area through which the roller had passed at least four times was generally greater than the CMV of the other areas. Thus, the number of passes, the vibration frequency, the CMV varying from 0 to 80, and the RMV varying from 0 to 4 were effectively displayed by SCAN in order to characterize the state of roller compaction at site E.

Bottom Line: The SCAN is distinguished from other previous software for intelligent compaction (IC) in that it can use the results from various types of GPS positioning methods, and it also has an optimal structure for remotely managing the large amounts of data gathered from numerous rollers.For this, several methods were developed: (1) improving the accuracy of low cost GPS receiver's positioning results; (2) modeling the trajectory of a moving roller using a GPS receiver's results and linking it with the data from the compactometer; and (3) extracting the information regarding the compaction states of the ground from the modeled trajectory, using spatial analysis methods.The SCAN was verified throughout various field compaction tests, and it has been confirmed that it can be a very effective tool in evaluating field compaction states.

View Article: PubMed Central - PubMed

Affiliation: Department of Civil, Architectural & Environmental Engineering, Sungkyunkwan University, Suwon 440-746, Korea. gpsboy@skku.edu

ABSTRACT
A software for soil compaction analysis (SCAN) has been developed for evaluating the compaction states using the data from the GPS as well as a compactometer attached on the roller. The SCAN is distinguished from other previous software for intelligent compaction (IC) in that it can use the results from various types of GPS positioning methods, and it also has an optimal structure for remotely managing the large amounts of data gathered from numerous rollers. For this, several methods were developed: (1) improving the accuracy of low cost GPS receiver's positioning results; (2) modeling the trajectory of a moving roller using a GPS receiver's results and linking it with the data from the compactometer; and (3) extracting the information regarding the compaction states of the ground from the modeled trajectory, using spatial analysis methods. The SCAN was verified throughout various field compaction tests, and it has been confirmed that it can be a very effective tool in evaluating field compaction states.

No MeSH data available.