Searched for: author%3A%22Kumar%2C+Siddhant%22
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Flaschel, Moritz (author), Kumar, Siddhant (author), De Lorenzis, Laura (author)
We extend the scope of our recently developed approach for unsupervised automated discovery of material laws (denoted as EUCLID) to the general case of a material belonging to an unknown class of constitutive behavior. To this end, we leverage the theory of generalized standard materials, which encompasses a plethora of important constitutive...
journal article 2023
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Boddapati, Jagannadh (author), Flaschel, Moritz (author), Kumar, Siddhant (author), De Lorenzis, Laura (author), Daraio, Chiara (author)
When the elastic properties of structured materials become direction-dependent, the number of their descriptors increases. For example, in two-dimensions, the anisotropic behavior of materials is described by up to 6 independent elastic stiffness parameters, as opposed to only 2 needed for isotropic materials. Such high number of parameters...
journal article 2023
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Flaschel, Moritz (author), Kumar, Siddhant (author), De Lorenzis, Laura (author)
We propose a new approach for data-driven automated discovery of isotropic hyperelastic constitutive laws. The approach is unsupervised, i.e., it requires no stress data but only displacement and global force data, which are realistically available through mechanical testing and digital image correlation techniques; it delivers interpretable...
journal article 2021