Computational Solid Mechanics has grown tremendously over the last decade. While solid mechanics focuses on the deformation behavior of structures, a comprehensive understanding of material behavior has become imperative to reliable and accurate modeling.

Solid mechanics widely focuses on the deformation and failure behavior of materials ranging from solid parts of Earth, biological materials to man-made machines/structures. The generic ideology rests in the comprehension of the body’s reaction when subjected to external and/or internal influences like chemical reactions, temperature changes, electromagnetic fields, mechanical forces etc across a multitude of length and time-scales. While the length scales can range from Angstroms to Kilometers, the timescales can also range from pico seconds to hundreds of years.

As engineers, we bridge the understanding between fundamental science and industry and takes the baton all the way to the finish line. The research is primarily application driven, envisioning the end-user applications. Every application can be decomposed as an ensemble of fundamental concepts that includes ideas of Mechanics, Materials and Mathematics.


While most solid mechanics applications can be described through the ideas of Structural Mechanics, engineers were quick to realize that a through grasp of the material properties can lead to reduction in uncertainity of predicted deformation behavior. We combine theoretical, computational and experimental approaches to facilitate accurate and reliable link between the behavior at the micro-structural and macroscopic scales (i.e. micromechanics & homogenization). The work primarily focuses on the impact of nonlinear elasticity, inelasticity and discontinuities (like fracture and contact) at the smaller scales on the macroscopic performance of solids and structures. Advanced element technologies / computational techniques are developed to both understand and reliably predict the behavior of materials. Further on, the understanding is used to explore design strategies for structures with tunable properties.