In recent times, there has been an increasing prevalence of surrogate models and
metamodeling techniques in approximating the responses of complex systems. These …

Efficient ventilation methods and ventilation strategies are required to improve the energy
savings of the ventilation systems of industrial plants. This study investigated the energy …

This paper discusses the implementation of an artificial neural network (ANN) for predicting
the critical flutter velocity of suspension bridges with closed box deck sections. Deck chord …

This paper discusses the implementation of an Artificial Neural Network (ANN) model for
predicting the wind-induced, vertical displacements of cable net roofs with a hyperbolic …

This study uses the Adaptive Network-based Fuzzy Inference System (ANFIS) as a modeling
tool to predict the scour depth in bridges. Experiments involved different sediment sizes, flow …

Machine learning (ML) techniques, which are a subset of artificial intelligence (AI), have
played a crucial role across a wide spectrum of disciplines, including engineering, over the …

Volume of fluid (VOF) methods are extensively used to track fluid interfaces in numerical
simulations, and many VOF algorithms require that the interface be reconstructed …

Many microfluidics-based applications involve fluid–structure interaction (FSI) of flexible
membranes. Thin flexible membranes are now being widely used for mixing enhancement …

Reduced order models (ROMs) have become prevalent in many fields of physics as they
offer the potential to simulate dynamical systems with substantially increased computation …

This paper presents a reformulation of the “Gappy Proper Orthogonal Decomposition”(
Gappy-POD) multi-fidelity modeling approach and proposes an enrichment criterion …