Abstract: AbstractWe propose a neural operator framework, termed mixture density nonlinear manifold decoder (MD-NOMAD), for emulating the conditional response distribution of stochastic simulators. Our framework leverages an ...

Abstract: Numerical modelling of tunnels, generally carried out by using some numerical analysis tools [e.g., finite element (FE) method, discrete element method], is often computationally expensive. Hence, it becomes extremely ...

Abstract: Optimization for crashworthiness is of vast importance in automobile industry. Recent advancement in computational prowess has enabled researchers and design engineers to address vehicle crashworthiness, resulting in ...