Computational Earthquake Physics: Simulations, Analysis and Infrastructure, Part II

  • Xiang-chu Yin
  • Peter Mora
  • Andrea Donnellan
  • Mitsuhiro Matsu’ura

Part of the Pageoph Topical Volumes book series (PTV)

Table of contents

  1. Front Matter
    Pages i-v
  2. Xiang-chu Yin, Peter Mora, Andrea Donnellan, Mitsuhiro Matsu’ura
    Pages 2259-2261
  3. Andrea Donnellan, John Rundle, Geoffrey Fox, Dennis McLeod, Lisa Grant, Terry Tullis et al.
    Pages 2263-2279
  4. Mehmet Aktas, Galip Aydin, Andrea Donnellan, Geoffrey Fox, Robert Granat, Lisa Grant et al.
    Pages 2281-2296
  5. Xiang-Chu Yin, Lang-Ping Zhang, Hui-Hui Zhang, Can Yin, Yucang Wang, Yongxian Zhang et al.
    Pages 2317-2341
  6. Yongxian Zhang, Xiangchu Yin, Keyin Peng, Haitao Wang, Jianchang Zheng, Yongjia Wu et al.
    Pages 2343-2351
  7. Keyin Peng, Xiangchu Yin, Lang-Ping Zhang
    Pages 2353-2362
  8. Hui-hui Zhang, Xiang-chu Yin, Nai-gang Liang, Huai-zhong Yu, Shi-yu Li, Y.C. Wang et al.
    Pages 2389-2406
  9. K.F. Tiampo, J.B. Rundle, W. Klein
    Pages 2407-2416
  10. K.Z. Nanjo, J.B. Rundle, J.R. Holliday, D.L. Turcotte
    Pages 2417-2432
  11. G. Erlebacher, D.A. Yuen, Z. Lu, E.F. Bollig, M. Pierce, S. Pallickara
    Pages 2467-2483
  12. M. Davies, H. Mühlhaus, L. Gross
    Pages 2485-2495
  13. Xiaoyu Liu, Xiangchu Yin, Naigang Liang
    Pages 2529-2543
  14. Bin Wang, Zhaoyong Xu, Xiangchu Yin, Yili Hu, Runhai Yang, Jingguan Cai et al.
    Pages 2545-2560
  15. Huai-zhong Yu, Xiang-chu Yin, Qing-yong Zhu, Yu-ding Yan
    Pages 2561-2574
  16. Qi Li, Yilong Bai, Xiangchu Yin, Xiaochun Li
    Pages 2585-2593

About these proceedings


Exciting developments in earthquake science have benefited from new observations, improved computational technologies, and improved modeling capabilities. Designing realistic supercomputer simulation models for the complete earthquake generation process is a grand scientific challenge due to the complexity of phenomena and range of scales involved from microscopic to global.

The present volume - Part II - incorporates computational environment and algorithms, data assimilation and understanding, model applications and iSERVO. Topics covered range from iSERVO and QuakeSim: implementing the international solid earth research virtual observatory by integrating computational grid and geographical information web services; LURR (Load-Unload Response Ratio) described in six papers involving this promising earthquake forecasting model; pattern informatics and phase dynamics and their applications, which was also a highlight in the Workshop; computational algorithms, including continuum damage models and visualization and analysis of geophysical datasets; evolution of mantle material; the state vector approach; and assimilation of data such as geodetic data, GPS data, and seismicity and laboratory experimental data.


Earthquake Physics Simulation aftershock computer simulation dynamic rapture earthquake earthquake generation earthquake prediction microscopic simulation model modeling scaling physics seismic wave propagation

Editors and affiliations

  • Xiang-chu Yin
    • 1
  • Peter Mora
    • 2
  • Andrea Donnellan
    • 3
  • Mitsuhiro Matsu’ura
    • 4
  1. 1.Institute of Earthquake ScienceChinese Earthquake AdministrationBeijingChina
  2. 2.Earth Systems Science Computational CentreThe University of QueenslandBrisbaneAustralia
  3. 3.Jet Propulsion LaboratoryPasadenaUSA
  4. 4.Dept. of Earth and Planetary ScienceThe University of TokyoTokyoJapan

Bibliographic information