Rock-fill Dam Construction Quality Evaluation Based on Combination Model

DOI

10.2991/iceep-16.2016.121How to use a DOI?

Keywords

rock-fill dam; combination model; compaction; quality evaluation

Abstract

Rock-fill dam compaction quality depends on compaction parameters and material parameters. Although it is difficult to gain material sources parameters at any dam surface location, the real-time quality monitoring technology of rock-fill dam construction provides for gaining compaction parameters of any surface location. Based on test pit data and real-time data, establish the combination model connecting adaptive network-based fuzzy inference system and improved back propagation neural network, and realize the nonlinear mapping relationship between compaction parameters and construction quality.-The predicting accuracy of the combination model is higher than single adaptive network-based fuzzy inference system or improved back propagation neural network through model testing. Finally combination model is applied to forecast some dam surface dry density.

Copyright

© 2016, 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  - Fei Wang
AU  - Qiangguo Jin
AU  - Denghua Zhong
AU  - Binping Wu
PY  - 2016/11
DA  - 2016/11
TI  - Rock-fill Dam Construction Quality Evaluation Based on Combination Model
BT  - Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
PB  - Atlantis Press
SP  - 705
EP  - 709
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-16.2016.121
DO  - 10.2991/iceep-16.2016.121
ID  - Wang2016/11
ER  -