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Real-Time Evaluation of Compaction Quality by Using Artificial Neural Networks
Joint Authors
Cao, Weidong
Liu, Shutang
Gao, Xuechi
Ren, Fei
Wu, Qilun
Liu, Peng
Source
Advances in Materials Science and Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-23
Country of Publication
Egypt
No. of Pages
10
Abstract EN
The primary goal of this study is to find an easy and convenient way to estimate the degree of compaction in real time for compaction quality control.
In this paper, an artificial neural network classifier is developed to identify the different characteristic patterns of drum vibration and classify them according to the different compaction levels.
At first, a field compaction experiment is designed and performed in a construction site, and the degree of compaction and the vibration are measured.
Then, the vibration signals collected from the experiment are processed to extract the features of vibration patterns and labeled with the compaction level to train the artificial neural network model.
At last, the performance of the artificial neural network classifier is verified against the degree of compaction measured by using a nuclear density gauge.
It can be found that artificial neural networks show good performance and huge potential for the problem of compaction quality control.
American Psychological Association (APA)
Cao, Weidong& Liu, Shutang& Gao, Xuechi& Ren, Fei& Liu, Peng& Wu, Qilun. 2020. Real-Time Evaluation of Compaction Quality by Using Artificial Neural Networks. Advances in Materials Science and Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1128868
Modern Language Association (MLA)
Cao, Weidong…[et al.]. Real-Time Evaluation of Compaction Quality by Using Artificial Neural Networks. Advances in Materials Science and Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1128868
American Medical Association (AMA)
Cao, Weidong& Liu, Shutang& Gao, Xuechi& Ren, Fei& Liu, Peng& Wu, Qilun. Real-Time Evaluation of Compaction Quality by Using Artificial Neural Networks. Advances in Materials Science and Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1128868
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1128868