2 citations · 5 across the 8 of their papers we have counts for
9 papers
Multiscale Structural Reliability Analysis in high dimensions with Tensor Trains and Physics-Augmented Neural Networks
Aryan Tyagi, Alex de Beer, Tiangang Cui +1
Structural reliability evaluation for composites constitutes a fundamentally high-dimensional multiscale problem, as microscale material uncertainties must propagate to the macrosc…
Multiscale topology optimization of compressible and nearly incompressible anisotropic hyperelastic structures using physics-augmented neural networks
Asghar A. Jadoon, Aryan Tyagi, L. River Spencer +5
Multiscale topology optimization (TO) of hyperelastic materials remains computationally prohibitive due to the repeated solution of microscale boundary value problems. In this work…
Quantum-Based Salp Swarm Algorithm Driven Design Optimization of Savonius Wind Turbine-Cylindrical Deflector System
Paras Singh, Vishal Jaiswal, Subhrajit Roy +3
Savonius turbines, prominent in small-scale wind turbine applications operating under low-speed conditions, encounter limitations due to opposing torque on the returning blade, imp…
COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations
Aryan Tyagi, Aryaman Rao, Shubhanshu Rao +1
Chronic Obstructive Pulmonary Disorder (COPD) is a prevalent respiratory disease that significantly impacts the quality of life of affected individuals. This paper presents COPDFlo…
Application of Response Surface Method and Genetic Algorithm in the Design of High-Efficiency Prototype Vehicle
Paras Singh, Harshit Gupta, Ojas Vinayak +1
Breakthroughs in aerodynamic optimization have made it possible to develop efficient modes of transport with lesser exploitation of valuable resources. This makes it crucial for te…
Optimization of Inverted Double-Element Airfoil in Ground Effect using Improved HHO and Kriging Surrogate Model
Paras Singh, Arun Ravindranath, Aryan Tyagi +2
In the automotive industry, multi-element wings have been used to improve the aerodynamics of race cars. Multi-element wings can enhance a vehicle's handling and stability by reduc…
A Novel Framework for Optimizing Gurney Flaps using RBF Neural Network and Cuckoo Search Algorithm
Aryan Tyagi, Paras Singh, Aryaman Rao +2
Enhancing aerodynamic efficiency is vital for optimizing aircraft performance and operational effectiveness. It enables greater speeds and reduced fuel consumption, leading to lowe…
CKS: A Community-based K-shell Decomposition Approach using Community Bridge Nodes for Influence Maximization
Inder Khatri, Aaryan Gupta, Arjun Choudhry +3
Social networks have enabled user-specific advertisements and recommendations on their platforms, which puts a significant focus on Influence Maximisation (IM) for target advertisi…
Influence Maximization in Social Networks using Discretized Harris Hawks Optimization Algorithm and Neighbour Scout Strategy
Inder Khatri, Arjun Choudhry, Aryaman Rao +3
Influence Maximization (IM) is the task of determining k optimal influential nodes in a social network to maximize the influence spread using a propagation model. IM is a prominent…