Roland Wüchner

Full Professor and Head of Institute

Technische Universität Braunschweig

Germany

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Roland Wüchner is a Full Professor and Head of Institute at Technische Universität Braunschweig, Germany. His research focuses on the intersection of machine learning and engineering mechanics, particularly in vehicle–bridge interaction systems and hyperelastic materials. Recent publications include works on modal tracking algorithms, shape optimization techniques, and advanced numerical methods for embedded solids. He is dedicated to advancing computational approaches in structural engineering and material behavior.

Articles (18)

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

Collaborators (8)

Kai-Uwe Bletzinger

Professor, Chair

Ludwig-Maximilians-Universität München

GERMANY

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Brendan Keith

Assistant Professor

Brown University

UNITED STATES

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Klaus Bernd Sautter

Technical University of Munich

GERMANY

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Stefan Kollmannsberger

full professor

Bauhaus-Universität Weimar

GERMANY

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Carlos Lázaro

Associate Professor (Profesor Titular de Universidad)

Universitat Politècnica de València

SPAIN

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Barbara Wohlmuth

Technical University of Munich

GERMANY

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Veronika Singer

Research and Teaching Associate

Technical University of Munich

GERMANY

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Suneth Warnakulasuriya

Head of Simulation Lab

Technical University of Munich

GERMANY

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Roland Wüchner

Research Interests

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Articles (18)

A mixed stabilized MPM formulation for incompressible hyperelastic materials using Variational Subgrid-Scales

Pure distortion of symmetric box beams with hinged walls

Lagrange multiplier imposition of non-conforming essential boundary conditions in implicit material point method

Shape optimization of embedded solids using implicit Vertex-Morphing

Robust numerical integration of embedded solids described in boundary representation

Long-term continuous automatic modal tracking algorithm based on Bayesian inference

Finite element method-enhanced neural network for forward and inverse problems

Machine learning driven damper for response control in vehicle–bridge interaction systems

Computational wind–structure interaction simulations of high rise and slender structures and validation against on-site measurements — Methodology development and assessment

Fast online implementation of covariance-driven stochastic subspace identification

A unified and modular coupling of particle methods with fem for civil engineering problems

Correction: Latest developments in node-based shape optimization using Vertex Morphing parameterization (Structural and Multidisciplinary Optimization, (2022), 65, 7, (198), 10.1007/s00158-022-03279-w)

Identification of wind loads on a 600 m high skyscraper by Kalman filter

Identification of wind loads on a 600 m high skyscraper by Kalman filter

Finite element method-enhanced neural network for forward and inverse problems

Efficient CAD-integrated isogeometric analysis of trimmed solids

Risk-averse design of tall buildings for uncertain wind conditions

Efficient CAD-integrated isogeometric analysis of trimmed solids

Collaborators (8)

Kai-Uwe Bletzinger

Brendan Keith

Klaus Bernd Sautter

Stefan Kollmannsberger

Carlos Lázaro

Barbara Wohlmuth

Veronika Singer

Suneth Warnakulasuriya

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