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Computational Solid Mechanics

The research of the Computational Solid Mechanics (CSM) group addresses challenging and important problems through a synergy of physics, computational science and engineering, and applied mathematics. These core areas provide the necessary foundation for addressing the wide variety of modern, open problems in computational solid mechanics.

The proper analysis and design of modern society’s complex physical systems invariably demands the use of high fidelity computer simulations. However, the development of the requisite sophistication in modeling is predicated on a deep understanding of the physical mechanisms that are germane to the process or system under consideration. The educational program in CSM encourages students to develop a strong background in the fundamentals of mechanics, computational science, and applied mathematics. We believe that the next generation of engineering faculty, researchers, and practitioners must be educated in new ways, and with a broader scientific perspective. The educational programs of CSM at Cornell support these notions.

Our current core areas of expertise encompass multiscale and multiphysics simulations, fracture mechanics, solid continuum mechanics, stochastic mechanics, uncertainty quantification, optimization, health monitoring and prognosis, high performance computing, and inverse problems, among others.

 

Faculty

Wilkins Aquino

  • Inverse problems
  • numerical methods for solving partial differential equations
  • scientific computing
  • Biomechanics
  • multiphysics-multiscale problems
  • health monitoring and prognosis
  • optimization
  • machine learning applications in mechanics

Christopher J. Earls

  • Computational solid and structural mechanics
  • inverse problems
  • structural health monitoring and prognosis
  • high performance computing
  • structural stability

Mircea D. Grigoriu

  • Stochastic mechanics
  • random vibrations
  • systems reliability
  • stochastic partial differential equations

Anthony R. Ingraffea

  • Fracture and fatigue mechanics
  • multiscale solid mechanics
  • computational materials
  • structural prognosis
  • high performance computing and scientific visualization

Steve Koutsourelakis

  • uncertainty quantification
  • random heterogeneous materials
  • multiscale analysis and formulations
  • system identification
  • Bayesian inferencing

Derek Warner

  • Deformation and Fracture Mechanisms
  • Interface / Grain Boundary Mechanics
  • Atomistic, Discrete Dislocation, and Continuum Methods
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