Saikat Dan Email & Phone Number

Eden Prairie, Minnesota, United States

Baltimore, Maryland

Thesis: Machine learning-aided Digital Twins for Damage SensingMicromechanical Model of Failure in Piezoelectric Composites• Developed a multiphysics finite element formulation for solving electromechanically coupled fracture problems• Introduced an augmented phase field-based methodology for micromechanical analysis of multi-functional compositesParametrically Upscaled Coupled Constitutive Damage Model for Analysis of Piezoelectric Composite Structures• Conceptualized a constitutive damage model for composite structures with explicit microstructural dependencies• Characterized representative volume elements (RVE) that account for the statistics of microstructural featuresDigital Twin for Damage Sensing using a combination of Convolutional and Recurrent Neural Networks• Generated a multiphysics structural response database from macroscopic simulations of piezo–composite structures• Correlated macroscopic electrical fields generated from mechanical stimuli to damage states using ConvLSTM

• Developed a course on the theoretical and practical applications of computer simulations of real-life problems• Delivered bi-weekly lectures by incorporating active learning methods and live programming sessions during class• Led student discussions on novel simulation techniques motivating them toward research

Load – Carrying Capacity and Behavior of Offshore Pile Foundations• Developed numerical codes for the evaluation of offshore pile capacity in tension, compression, shear, and flexure• Devised computer programs for the solution of beam equation on a non–linear Winkler foundationStructural Integrity Assessment of Large Horizontal Axis Wind Turbines• Simulated the coupled dynamic response of large horizontal axis wind turbines using FAST code• Evaluated stress levels in wind turbine blades and tower and verified them against bucklingCargo Load and Pressure application on Container Ship model for full strength analysis• Automatized container weight and ballast water pressure application in Ansys Parametric Design Language• Evaluated combined stresses on the hull structure when subjected to various load combinations

Doctor Of Philosophy - Phd, Applied And Computational Mechanics, 4.0/4.0

Thesis: Machine learning-aided Digital Twins for Damage Sensing

Master Of Science - Ms, Mechanical Engineering, 4.0/4.0

Activities and Societies: Civil Engineering Graduate Association (CEGA) Focus: Mechanics and Materials Homogenization of Porous.

B.Tech (Hons.) In Civil Engineering & M.Tech In Structural Engineering, 9.26/10

Activities and Societies: Civil Engineering Society (CES), National Service Scheme (NSS) Punching Shear Behaviour of Recycled Aggregate.