activity
20192026
most citedRisk-averse design of tall buildings for uncertain wind conditions

8 citations · 11 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CE2026

A Non-intrusive Approach for the Imposition of Strong Dirichlet Boundary Conditions in Unfitted Boundary Meshes

J. I. Camarotti, R. Aristio, R. Rossi +2

The enforcement of essential boundary conditions is a fundamental challenge in unfitted boundary methods. This paper presents a non-intrusive, black-box strategy for imposing such…

cs.CE2026

Partitioned Co-Simulation for CAD-integrated Vibroacoustic Problems in Unbounded Domains

J. I. Camarotti, P. Le, Y. Cai +4

Vibroacoustic analysis often requires coupling structural and acoustic solvers based on different numerical formulations and discretizations, making monolithic implementations intr…

math.NA2026

Boundary-Level-Constrained Refinement for Suppressing Trimming-Induced High-Frequency Outliers in Explicit Isogeometric Analysis

Christoph Hollweck, Lukas Leidinger, Stefan Hartmann +2

In explicit dynamics, the critical time step is governed by the maximum eigenfrequency of the semi-discrete system. In Isogeometric Analysis (IGA), open knot vectors introduce a ch…

math.OC2023

High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures

Rainald Löhner, Facundo N. Airaudo, Harbir Antil +3

An adjoint-based procedure to determine weaknesses, or, more generally, the material properties of structures is developed and tested. Given a series of load cases and correspondin…

math.OC2023

Adjoint-based Determination of Weaknesses in Structures

Facundo N. Airaudo, Rainald Löhner, Roland Wüchner +1

An adjoint-based procedure to determine weaknesses, or, more generally the material properties of structures is developed and tested. Given a series of force and deformation/strain…

cs.CE2022★ 3 cited

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…

cs.CE2022★ 8 cited

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…

math.NA2019

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…