An Optimized Data Interpretation for Marshall Flow and Stability Test
- Authors
- Cho, B.H.; An, J.; Youn, H.; Nam, B.H.
- Issue Date
- 2019
- Publisher
- Springer Science and Business Media B.V.
- Keywords
- Data Interpretation Methods; Initial Delay; Initial Error; Marshall Flow; Marshall Stability
- Citation
- Sustainable Civil Infrastructures, pp.119 - 130
- Journal Title
- Sustainable Civil Infrastructures
- Start Page
- 119
- End Page
- 130
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/31006
- DOI
- 10.1007/978-3-319-95792-0_10
- ISSN
- 2366-3405
- Abstract
- Due to its simple and quick manner in testing, Marshall Stability and Flow test method is still widely used over the world. Testing method provides useful information such as strength, deformation, and stiffness represented by Stability, Flow, and Martial Quotient (MQ) respectively. However, an initial error in load-displacement curves can generate significant misleading in those mechanical properties. This paper presents an optimized data processing method for data interpretation. Previous researches and specifications related to MQ are reviewed to identify limitations of the exiting data interpretation methods. Laboratory experiments were performed to verify the limitation of the current methods. This study illustrates that a non-resistive section of specimen causes an “initial delay” in the load-deformation curve, resulting in misleading of the mixture properties. Lastly, the automated algorithm to offset the initial delay and determine the best MQ was devised. © 2019, Springer International Publishing AG, part of Springer Nature.
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Collections - College of Engineering > Civil and Environmental Engineering > Journal Articles
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