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Department of Mechanical Engineering

Visit of Nataly Manque to Brno University of Technology

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Nataly Manque has visited Brno University of Technology and presented a seminar

Nataly Manque, from the Chair for Reliability Engineering, visited the Faculty of Civil Engineering's Institute of Structural Mechanics at Brno University of Technology from October 7 to October 11, 2024. This visit was part of the collaborative efforts between Brno University of Technology and Technische Universität Dortmund, supported by the Erasmus+ teaching mobility program.

During her stay, Nataly presented a seminar on her research, which was followed by scientific discussions aimed at planning future collaborations. She also engaged with the uncertainty quantification research group at the Institute of Structural Mechanics, in particular with Assistant Professor Dr. Lukáš Novák, who was instrumental in organizing the visit.

This opportunity, made possible through the Erasmus+ program, allows research assistants from TU Dortmund to exchange teaching content and methods, strengthen and expand links between faculties, and prepare for future cooperation projects.

 

Nataly Manque Roa’s seminar:

Isogeometric Analysis for Coping with Geometric Uncertainty

Abstract:

Geometric uncertainty, which arises from the manufacturing processes and operating conditions employed, frequently results in discrepancies between the numerical predictions and the actual system behavior. Conventional techniques such as finite element analysis (FEA) encounter computational inefficiencies due to the iterative remapping of uncertain geometric parameters. This work explores the potential of Isogeometric Analysis (IGA) as an alternative approach, leveraging Non-Uniform Rational B-Splines (NURBS) from Computer-Aided Design (CAD) to maintain geometric fidelity while avoiding remeshing. By adjusting control points to modify geometry, IGA reduces computational costs and simplifies uncertainty quantification. Using a gradient-based optimization algorithm, the bounds of system responses can be efficiently determined. Case studies demonstrate the accuracy of the methodology in estimating stress triaxiality under geometric uncertainty.