Nikhil Mahar is from Uttarakhand and has completed his bachelors from Graphic Era Hill University, Dehradun. His area of research is structural health monitoring of structures utilizing deep learning.
Structural health monitoring of structures utilizing deep learning
2022 - Present
IIT Mandi, IN
NIT Meghalaya, IN
Graphic Era Hill
University Jaypee IN
PhD in Structural and Earthquake Engineering
M.Tech in Structural Engineering
B-Tech in Civil Engineering
Damage detection in RCC beam with ANNs
Utilized artificial intelligence to recognise crack pattern on RCC beam model under load. Predicted crack
patterns were compared with orignal crack patterns developed in finite element analysis software.
Earthquake resistant design of multi-storey building
Systematic designing of all members of multi-storey building was done as per IS codes.
Approximate solution of Burger’s equation using Physics informed neural network
Solution of Burger’s equation without utilizing data in neural networks.
Application of hybrid PINN towards solving ODEs.
Hybrid PINN approach in an RNN cell a data-driven stress intensity range model is combined with a
physics based crack length increment model to study the fatigue crack growth with far-field cyclic stress
RK-Scheme to solve ODE using PINN
Both forward and inverse problems are solved by assisting Runge-Kutta method within neural network.
Reconstruction of signal
Reconstruction of signal from sparse data of single degree of freedom linear and non-linear systems using
physics informed neural networks (PINN)
BVP solution with PINN
Solution of a cantilever beam under point load at end using physics-informed neural networks(PINN)
Custom Recurrent Neural Network
Building many to many custom RNN for predicting time domain data.
Finite difference layer embedded neural network
Replacing adagrad with finite difference layer to solve 1st order linear ODE with physics informed autore-
Multi-fidelity transfer learning for consolidation of soil
A project undertaken to determine consolidation of soil by developing multi-fidelity PINN transfer learning
Girsanov based EM scheme for non-linear SDEs
Determined trajectories of non linear stochastic SDOF and MDOF systems by using Grisanov based Euler
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