8 citations · 12 across the 6 of their papers we have counts for
6 papers
A gradient descent akin method for constrained optimization: algorithms and applications
Long Chen, Kai-Uwe Bletzinger, Nicolas R. Gauger +1
We present a first-order method for solving constrained optimization problems. The method is derived from our previous work, a modified search direction method inspired by singular…
Implicit bulk-surface filtering method for node-based shape optimization and comparison of explicit and implicit filtering techniques
Reza Najian Asl, Kai-Uwe Bletzinger
This work studies shape filtering techniques, namely the convolution-based (explicit) and the PDE-based (implicit), and introduces an implicit bulk-surface filtering method to cont…
Finite Element Method-enhanced Neural Network for Forward and Inverse Problems
Rishith Ellath Meethal, Birgit Obst, Mohamed Khalil +4
We introduce a novel hybrid methodology combining classical finite element methods (FEM) with neural networks to create a well-performing and generalizable surrogate model for forw…
Risk-averse design of tall buildings for uncertain wind conditions
Anoop Kodakkal, Brendan Keith, Ustim Khristenko +4
Reducing the intensity of wind excitation via aerodynamic shape modification is a major strategy to mitigate the reaction forces on supertall buildings, reduce construction and mai…
A partitioned scheme for adjoint shape sensitivity analysis of fluid-structure interactions involving non-matching meshes
Reza Najian Asl, Ihar Antonau, Aditya Ghantasala +3
This work presents a partitioned solution procedure to compute shape gradients in fluid-structure interaction (FSI) using black-box adjoint solvers. Special attention is paid to pr…
A gradient descent akin method for inequality constrained optimization
Long Chen, Wenyi Chen, Kai-Uwe Bletzinger
We propose a first-order method for solving inequality constrained optimization problems. The method is derived from our previous work [12], a modified search direction method (MSD…