A meshfree approach for fracture modelling of gravity dams under earthquake
 R. Das,
 P. W. Cleary
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Fracture is a major cause of failure for concrete gravity dams. This can result in the largescale loss of human lives and enormous economic consequences. Numerical modelling can play a crucial role in understanding and predicting complex fracture processes, providing useful input to fractureresistant designs. In this paper, the use of a meshfree particle method called smoothed particle hydrodynamics (SPH) for modelling of gravity dam failure subject to fluctuating dynamic earthquake loads is explored. The structural response of the Koyna dam is analysed with the base of the dam being subjected to highintensity periodic ground excitations. The SPH prediction of the crack initiation location and propagation pattern is found to be consistent with existing FEM predictions and experimental results from physical models. The transient stress field and the resulting damage evolution in the dam structure were monitored. The amplitude and frequency of the ground excitation is shown to have considerable influence on the fracture pattern and the associated energy dissipation. The fluctuations in the kinetic energy of the dam wall and its fragments are found to vary with different frequencies and amplitudes as the structure undergoes progressive fracture. The dynamic responses and the fracture patterns predicted establish the strong potential of SPH for fracture modelling of dams and similar large structures.
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 Title
 A meshfree approach for fracture modelling of gravity dams under earthquake
 Journal

International Journal of Fracture
Volume 179, Issue 12 , pp 933
 Cover Date
 20130101
 DOI
 10.1007/s1070401297663
 Print ISSN
 03769429
 Online ISSN
 15732673
 Publisher
 Springer Netherlands
 Additional Links
 Topics
 Keywords

 Dam
 Failure
 Damage
 Fracture
 Earthquake
 Meshfree method
 Smoothed particle hydrodynamics
 Industry Sectors
 Authors

 R. Das ^{(1)}
 P. W. Cleary ^{(2)}
 Author Affiliations

 1. Department of Mechanical Engineering, University of Auckland, Auckland, 1010, New Zealand
 2. CSIRO Mathematics, Informatics and Statistics, Normanby Road, Clayton, VIC, 3168, Australia