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The Scientific World Journal
Volume 2014, Article ID 292450, 10 pages
Research Article

Displacement-Based Back-Analysis of the Model Parameters of the Nuozhadu High Earth-Rockfill Dam

1State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
2HydroChina Kunming Engineering Corporation, Kunming 650051, China

Received 4 April 2014; Revised 22 June 2014; Accepted 22 June 2014; Published 8 July 2014

Academic Editor: Ruey-Fang Yu

Copyright © 2014 Yongkang Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Hao Gu, Zhongru Wu, Xiaofei Huang, and Jintao Song, “Zoning Modulus Inversion Method for Concrete Dams Based on Chaos Genetic Optimization Algorithm,” Mathematical Problems in Engineering, vol. 2015, pp. 1–9, 2015. View at Publisher · View at Google Scholar
  • Wei Gao, “Inverse Back Analysis Based on Evolutionary Neural Networks for Underground Engineering,” Neural Processing Letters, vol. 44, no. 1, pp. 81–101, 2016. View at Publisher · View at Google Scholar
  • Bingyin Zhang, Yuzhen Yu, Yongkang Wu, and Zongliang Zhang, “Consolidation analysis of Nuozhadu high earth-rockfill dam based on the coupling of seepage and stress-deformation physical state,” International Journal of Geomechanics, vol. 16, no. 3, 2016. View at Publisher · View at Google Scholar
  • Wei Zhou, Shaolin Li, Zhiwei Zhou, and Xiaolin Chang, “InSAR Observation and Numerical Modeling of the Earth-Dam Displacement of Shuibuya Dam (China),” Remote Sensing, vol. 8, no. 10, pp. 877, 2016. View at Publisher · View at Google Scholar
  • Wei Gao, Dongliang Chen, Shuang Dai, and Xu Wang, “Back analysis for mechanical parameters of surrounding rock for underground roadways based on new neural network,” Engineering with Computers, pp. 1–12, 2017. View at Publisher · View at Google Scholar
  • Ming Xu, Dehai Jin, Erxiang Song, and Dawei Shen, “A rheological model to simulate the shear creep behavior of rockfills considering the influence of stress states,” Acta Geotechnica, 2018. View at Publisher · View at Google Scholar