Katrin Beyer

Biography

Since 2017 Associate Professor, School of Architecture, Civil and Environmental Engineering (ENAC), EPFL. Head of the Earthquake Engineering and Structural Dynamics (EESD) Laboratory

2010-2017 Assistant Professor, EPFL.

2008-2010 Post-doctoral researcher, ETH Zürich.

2003-2007 Ph.D., Roseschool / Università di Pavia, Italy.

2001-2003 Ove Arup & Partners, Advanced Technology and Research Group, London.

2001 Diploma, Civil engineering, ETH Zürich.

Official source

https://people.epfl.ch/katrin.beyer

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Courses taught by this person (5)

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Related research domains (97)

Reinforced concrete, also called ferroconcrete, is a composite material in which concrete's relatively low tensile strength and ductility are compensated for by the inclusion of reinforcement having h

An experiment is a procedure carried out to support or refute a hypothesis, or determine the efficacy or likelihood of something previously untried. Experiments provide insight into cause-and-effe

Seismic analysis is a subset of structural analysis and is the calculation of the response of a building (or nonbuilding) structure to earthquakes. It is part of the process of structural design, ea

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Related publications (243)

Related publications

People doing similar research (96)

People doing similar research

Projector-based augmented stacking framework for irregularly shaped objects

Edward Ando, Katrin Beyer, Julien Gamerro, Andrea Settimi, Qianqing Wang, Yves Weinand

Augmented reality in additive fabrication is predominantly applied to the manufacturing of structures from regularly shaped materials. Our work however embraces natural heterogeneity, by focusing on the assembly of irregularly shaped elements such as mineral scraps. We introduce a computer-aided framework with a 3D stacking engine and an augmented reality interface capable of guiding users through the balanced positioning of discrete and highly nonuniform objects according to an on-the-fly computed model and without prior trimming of the building unit. The pipeline is tested by the construction of two dry-stone structures (i.e., lacking any adhesives), and its accuracy is validated with a comparative study between the point cloud of the as-built digitized artifacts and the generated execution model, which shows an average 2.9 ± 1.8 cm error between the stones of the two models. We finally show how the proposed framework could be improved both in terms of software and hardware. In the interests of reproducibility, all the methods are shared as open source with the community.

2023

A virtual microstructure generator for 3D stone masonry walls

Katrin Beyer, Mahmoud S. M. Shaqfa

Detailed micromodel simulations of stone masonry walls require as input a 3D mesh that represents a realistic arrangement of stones in the masonry wall. In this paper, we constructed the first 3D masonry microstructures to derive 2D and 3D finite or discrete element meshes for a large range of stone and brick masonry typologies. The generation process was treated as a constraint many-objectives packing optimisation problem, which was designed to mimic the building process of a mason. The generated walls were compared qualitatively and quantitatively with real stone masonry samples of regular and irregular typologies. The Python3.7 codes of the microstructure generator and the generated meshes shown in this paper are all made available under GNU LGPLv3 terms and conditions. The techniques in this paper for generating 3D meshes of stone masonry walls will serve as input for simulations of individual walls, multiscale analyses of entire structures as well as for homogenisation techniques.

ELSEVIER2022

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Augmented Stacking is an augmented system designed to guide inexperienced users through the stacking of complex and irregular geometries. This digital fabrication system was applied to the assembly of one layer of a half-timber dry-stone wall. Augmented Stacking is composed of two components: the stacking algorithm (which calculates the pose for each stone or irregular object fed to the system) and the augmented pipeline to display the information.

2022