Development of advanced new methods for simulating natural and man-made disasters
Disasters, whether naturally occurring such as earthquakes, landslides, tsunamis, and storms, or man-made, e.g. those resulting from terrorism, contribute to a significant loss of life and property nationally and globally. Death tolls from one single natural disaster can range in the hundreds of thousands; cumulative tolls for man-made disasters (such as those during the war on terror) can be on the same magnitude. Effective numerical methods facilitate the advancement of protection against these disasters. My primary research focus is the development of robust and efficient numerical methods for extremely large deformation problems such as blast, fragment-impact processes and systems and components undergoing extreme conditions.
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Perforation of a concrete block using a stabilized meshfree method
Numerical and experimental crater and hole
comparison of fragmentation patterns in a perforation event
comparison of lateral cracking
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I have developed a computational formulation called variationally consistent integration [1,2] to achieve high accuracy with low order domain integration for meshfree methods such as the reproducing kernel particle method (RKPM) [3,4], which alleviates the efficiency bottleneck associated with quadrature. It enables accurate and efficient simulations of material damage processes and structural failure, earth moving, damage assessment of landslides, and structures subjected to man-made and natural disasters. This research has been implemented into large-scale computational codes used by the Army ERDC, and Sandia National Laboratories, to model bullet penetration into geomaterials (concrete, soil) to numerically investigate damage mechanisms in these events, and facilitate advancement in protective structures. Simulation results have been validated under blind test prediction for various sizes of targets, projectile sizes, and velocities (figures to the left). Slope stability analyses (figure below), as well as simulations of full scale earth moving for Caterpillar have also been performed using the stabilized RKPM method J.S. Chen and I have developed [2,5-7].
Triggering of landslide due to 1989 Loma Prieta Earthquake
Subsequently, I developed an accelerated meshfree method [6], that exhibits high accuracy, stability, and very low computational cost (20x faster than previous methods), with excellent performance in large deformation problems involving fragment-impact and penetration, blast-loaded structures, slope stability, and metal forming problems (figures below).
comparison of cone cracking
comparison of radial cracking
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Validation of landslide simulation
Landslide simulation with progressive failure
Perforation problem with and without stabilization (tensile damage)
Steel plate subject to blast loading from the UCSD extreme event simulator
These methods can be applied to a variety of problems involving large/extreme deformations aside from defense applications. An example is shown in the following video.
Overview and technical summaries (3 articles)
Some concise technical summaries of the theory and application of these works can be found in the articles below:
Some concise technical summaries of the theory and application of these works can be found in the articles below:
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2016_expressions.pdf | |
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2016_encyclopedia_for_computational_mechanics_2.pdf | |
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References
[1] Chen, J. S., Hillman, M., Ruter, M., An arbitrary order variationally consistent method for Galerkin meshfree methods, International Journal for Numerical Methods in Engineering, Vol. 95, pp. 387-418, 2013, doi:10.1002/nme.4512.
[2] Hillman, M., Chen, J. S., Stabilized and variationally consistent nodal integration for meshfree modeling of impact problems, Computational Particle Mechanics, Vol. 1, pp. 245-256, 2014, doi:10.1007/s40571-014-0024-5.
[3] Liu, W. K., Jun, S., Zhang, Y. F.. Reproducing kernel particle methods. International Journal for Numerical Methods in Fluids, Vol. 20, pp. 1081-1106, 1995, doi: 10.1002/fld.1650200824.
[4] Chen, J.S., Pan, C., Wu, C.T., Liu, W. K. Reproducing Kernel Particle Methods for large deformation analysis of non-linear structures. Computer Methods in Applied Mechanics and Engineering, Vol 139, pp. 195–227, 1996, doi:10.1016/S0045-7825(96)01083-3.
[5] Sherburn, J.A.,Roth M.J. , Chen, J.S., Hillman, M., Meshfree modeling of concrete slab perforation using a reproducing kernel particle impact and penetration formulation, Int. J. Impact Eng. 86 (2015) 96–110. doi:10.1016/j.ijimpeng.2015.07.009.
[6] Hillman, M., Chen, J. S., An accelerated, convergent and stable nodal integration in Galerkin meshfree methods for linear and nonlinear mechanics, 2015, International Journal for Numerical Methods in Engineering, doi:10.1002/nme.5183.
[1] Chen, J. S., Hillman, M., Ruter, M., An arbitrary order variationally consistent method for Galerkin meshfree methods, International Journal for Numerical Methods in Engineering, Vol. 95, pp. 387-418, 2013, doi:10.1002/nme.4512.
[2] Hillman, M., Chen, J. S., Stabilized and variationally consistent nodal integration for meshfree modeling of impact problems, Computational Particle Mechanics, Vol. 1, pp. 245-256, 2014, doi:10.1007/s40571-014-0024-5.
[3] Liu, W. K., Jun, S., Zhang, Y. F.. Reproducing kernel particle methods. International Journal for Numerical Methods in Fluids, Vol. 20, pp. 1081-1106, 1995, doi: 10.1002/fld.1650200824.
[4] Chen, J.S., Pan, C., Wu, C.T., Liu, W. K. Reproducing Kernel Particle Methods for large deformation analysis of non-linear structures. Computer Methods in Applied Mechanics and Engineering, Vol 139, pp. 195–227, 1996, doi:10.1016/S0045-7825(96)01083-3.
[5] Sherburn, J.A.,Roth M.J. , Chen, J.S., Hillman, M., Meshfree modeling of concrete slab perforation using a reproducing kernel particle impact and penetration formulation, Int. J. Impact Eng. 86 (2015) 96–110. doi:10.1016/j.ijimpeng.2015.07.009.
[6] Hillman, M., Chen, J. S., An accelerated, convergent and stable nodal integration in Galerkin meshfree methods for linear and nonlinear mechanics, 2015, International Journal for Numerical Methods in Engineering, doi:10.1002/nme.5183.