Quantile Regression Analysis on Short-Term Measured Data of Gravity-Arch Dam Based on POD

DOI

10.2991/amsce-17.2017.33How to use a DOI?

Keywords

POD; short-time series; quantile regression; gravity-arch dam

Abstract

To solve the problems of little sample, multi-collinearity and bad robust ability of normal model remaining in measured dam data in process of analysis, This paper analyzed the monitoring data of measured dam crest crown cantilever and both sides of 1/4 arch of a gravity dam in 2013 using circannual monitoring data. The research shows that quantile regression analysis method based on POD can conquer the problems above when analyzing measured dam data and excavate more safety dam information.

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/).

Download article (PDF)

TY  - CONF
AU  - Weihua Fang
AU  - Yunping Chen
AU  - Hui Zhang
AU  - Lin Li
PY  - 2017/04
DA  - 2017/04
TI  - Quantile Regression Analysis on Short-Term Measured Data of Gravity-Arch Dam Based on POD
BT  - Proceedings of the 2017 International Conference on Advanced Materials Science and Civil Engineering (AMSCE 2017)
PB  - Atlantis Press
SP  - 142
EP  - 149
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsce-17.2017.33
DO  - 10.2991/amsce-17.2017.33
ID  - Fang2017/04
ER  -