1 to 10 of 18 Results
Nov 3, 2026
Kannenberg, Fabian; Forster, David; Bischoff, Manfred; Menges, Achim, 2026, "ABxM.RedundancyExplorer: Agent-Based Design Space Exploration of Truss and Beam Structures with Learned Policies", https://doi.org/10.18419/DARUS-6513, DaRUS, V1
ABxM.RedundancyExplorer is the Rhino/Grasshopper version of the Redundancy Explorer, built as an add-on to the ABxM agent-based modeling framework. Truss and beam structures are analyzed with the redundancy matrix interactively, and node agents optimize the redundancy distribution with a gradient expert, a learned topology-agnostic graph neural net... |
Nov 3, 2026
Kannenberg, Fabian; Forster, David; Bischoff, Manfred; Menges, Achim, 2026, "Redundancy Explorer: Interactive Browser Application for Design Space Exploration Guided by Redundancy Matrices", https://doi.org/10.18419/DARUS-6512, DaRUS, V1
Redundancy Explorer is an interactive browser application for exploring structural design spaces guided by redundancy matrices. Users can drag nodes, edit the topology, or let an optimizer or a learned policy reshape a truss or beam structure, and see in real time how the redundancy redistributes across its elements. The redundancy matrix is comput... |
Nov 3, 2026
Kannenberg, Fabian; Forster, David; Bischoff, Manfred; Menges, Achim, 2026, "JaxRedMat: JAX-Accelerated Computation of Redundancy Matrices for Truss and Beam Structures", https://doi.org/10.18419/DARUS-6511, DaRUS, V1
JaxRedMat is a Python library for computing redundancy matrices of truss and beam structures in JAX. The redundancy matrix describes the distribution of static indeterminacy in a structure; its main diagonal gives the degree of redundancy of each load-carrying mode and sums to the degree of static indeterminacy. The library provides implementations... |
May 26, 2026
Grünvogel, Nicolai Hans Pascal; Mindermann, Pascal; Baruah, Angshuman C.; Sychterz, Ann; Bischoff, Manfred, 2026, "Replication Data for: Methodological Positioning of Fiberoptic Strain Sensors in Coreless Filament-Wound Lattice Composite Structures", https://doi.org/10.18419/DARUS-6107, DaRUS, V1, UNF:6:ma4kEP4vKnlM8QckneR4QQ== [fileUNF]
This data set contains: 7 input files to generate the mechanical model based on the direct stiffness method of the specific structures, described in detail in the related publication. 2 Excel files for the color-coding of the 4 sample structures for post-processing of the different schemes (qualitative/quantitative), described in detail in the rela... |
Nov 24, 2025
Mindermann, Pascal; Gil Pérez, Marta; Lee, Hyosang; Gresser, Götz Theodor; Knippers, Jan, 2025, "Fiber-optic Strain Sensor Data Collected from Loop Specimens under Various Loading Conditions", https://doi.org/10.18419/DARUS-5448, DaRUS, V1
This dataset includes strain and cross-sectional data from two CFRP loop specimens fabricated using coreless filament winding (CFW). Specimen 1 features both anchors positioned in the same plane, resulting in a “straight” configuration, while specimen 2 has one anchor elevated, creating an “angled” configuration. Both specimens contain fiber-optic... |
Oct 16, 2025
Mindermann, Pascal; Ravic, Jelena, 2025, "Microscopic Image Dataset of Coated Carbon Fiber/Epoxy Composites", https://doi.org/10.18419/DARUS-5391, DaRUS, V1
This dataset includes microscopic image data of cross-sectional cuts prepared from fiber-composite samples composed of carbon fiber and epoxy matrix, coated with a polymer. The fiber composite did not undergo compaction during curing of the matrix, and the polymer coating was applied after curing. The cuts were made orthogonal to the fiber orientat... |
Jul 21, 2025
Mindermann, Pascal; Lv, Yifan; Behera, Malaya Prasad; Meot, Romain; Le Guen, Marie-Joo; Singamneni, Sarat, 2025, "Supplemental Materials for: Exploring the Sustainability Potential of Lightweight Structures made from Phormium Tenax Fibers by Hybrid Coreless Filament Winding", https://doi.org/10.18419/DARUS-5090, DaRUS, V1, UNF:6:GkprAm+6EItWLSXkSgP3VA== [fileUNF]
This dataset includes geometrical, structural, and physical data on lattice fiber-composite structures made from different fiber materials using hybrid coreless filament winding. In total, 20 samples were manufactured and tested under axial compression, with 5 samples per fiber material. The material-invariant geometrical model of the samples was u... |
Jun 5, 2025 - ABxM Framework for Agent-based Modeling and Simulation
Nguyen, Long; Schwinn, Tobias; Groenewolt, Abel; Maierhofer, Mathias; Zorn, Max Benjamin; Stieler, David; Siriwardena, Lasath; Kannenberg, Fabian; Menges, Achim, 2022, "ABxM.Core: The Core Libraries of the ABxM Framework", https://doi.org/10.18419/DARUS-2994, DaRUS, V5
The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 7 and later versions. ABxM.Core implements the functionality specific to agent-based modelling and simulation. The core library can, in principle, be referenced from any application that is compatible with McNeel’s Rhino.Inside technology. ABxM.Core... |
Jun 13, 2024
Abdelaal, Moataz; Galuschka, Marcel; Zorn, Max; Kannenberg, Fabian; Menges, Achim; Wortmann, Thomas; Weiskopf, Daniel; Kurzhals, Kuno, 2024, "Supplemental Materials for: Visual Analysis of Fitness Landscapes in Architectural Design Optimization", https://doi.org/10.18419/DARUS-4164, DaRUS, V1
These are the supplemental materials for the submission titled "Visual Analysis of Fitness Landscapes in Architectural Design Optimization," accepted for publication in the Visual Computer Journal. The structure of the folder is as follows: . ├── additional_materials │ └── This directory contains a more detailed description of the user study, case... |
May 28, 2024
Abdelaal, Moataz; Kannenberg, Fabian; Lhuillier, Antoine; Hlawatsch, Marcel; Menges, Achim; Weiskopf, Daniel, 2024, "Supplemental Materials for STEP: Sequence of Time-Aligned Edge Plots", https://doi.org/10.18419/DARUS-4198, DaRUS, V1
Supplemental materials for STEP: Sequence of Time-Aligned Edge Plots submitted to the Information Visualization Journal's special issue on Graph & Network Visualization and Beyond. The structure of the folder is as follows: . │ ├── case_study │ └── Contains the graph ensembles data used in the case study │ ├── param_study │ └── The generated graphs... |
