Uncertainty Evaluation for Measurement result of Pavement Permeability Coefficient

DOI

10.2991/iceesd-17.2017.15How to use a DOI?

Keywords

Pavement Permeability Coefficient; Permeability Test; Measurement Result; Uncertainty; Asphalt Pavement

Abstract

The measurement result representation must contain both the value to be measured and the measurement uncertainty associated with the value, which is complete and meaningful. When the pavement permeability coefficient is measured on the road, the measurement results are given to the pavement seepage coefficient, and the description of the measurement uncertainty is lacking. The main contents of this paper include: the test method and calculation method of pavement permeability coefficient, the sources of the uncertainty of the measurement result, and the black box mathematical model of uncertainty evaluation. In this paper, the method of uncertainty evaluation for measurement results of pavement permeability coefficient is studied. The components of the uncertainty were evaluated, and the combined uncertainty and the expanded uncertainty were calculated by combining the experimental example of permeability test. The study of this paper provides a method for the uncertainty of the measurement results of pavement seepage coefficient, and provides the basis for the engineering technician to determine whether a measurement result is available.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lu Liu
AU  - Genqiang Jing
AU  - Hongbo Guo
PY  - 2017/04
DA  - 2017/04
TI  - Uncertainty Evaluation for Measurement result of Pavement Permeability Coefficient
BT  - Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
PB  - Atlantis Press
SP  - 84
EP  - 91
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-17.2017.15
DO  - 10.2991/iceesd-17.2017.15
ID  - Liu2017/04
ER  -