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arXiv 2024年

作者： Carrara, Andrea Nousias, Stavros Borrmann, André Technical University of Munich School of Engineering and Design Chair of Computational Modelling and Simulation Germany

This paper introduces a new approach to extract and analyze vector data from technical drawings in PDF format. Our method involves converting PDF files into SVG format and creating a feature-rich graph representation, which captures the relationships between vector entities using geometrical information. We then apply a graph attention transformer with hierarchical label definition to achieve accurate line-level segmentation. Our approach is evaluated on two datasets, including the public FloorplanCAD dataset, which achieves state-of-the-art results on weighted F1 score, surpassing existing methods. The proposed vector-based method offers a more scalable solution for large-scale technical drawing analysis compared to vision-based approaches, while also requiring significantly less GPU power than current state-of-the-art vector-based techniques. Moreover, it demonstrates improved performance in terms of the weighted F1 (wF1) score on the semantic segmentation task. Our results demonstrate the effectiveness of our approach in extracting meaningful information from technical drawings, enabling new applications, and improving existing workflows in the AEC industry. Potential applications of our approach include automated building information modeling (BIM) and construction planning, which could significantly impact the efficiency and productivity of the industry. © 2024, CC BY-NC-SA.

关键词： Semantic Segmentation

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Polytopal composite finite elements for modeling concrete fracture based on nonlocal damage models

arXiv

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arXiv 2023年

作者： Huynh, Hai D. Natarajan, S. Nguyen-Xuan, H. Zhuang, Xiaoying Chair of Computational Science and Simulation Technology Department of Mathematics and Physics Leibniz University Hannover Germany Integrated Modelling and Simulation Lab Department of Mechanical Engineering Indian Institute of Technology Madras Chennai600036 India Ho Chi Minh City Viet Nam

The paper presents an assumed strain formulation over polygonal meshes to accurately evaluate the strain fields in nonlocal damage models. An assume strained technique based on the Hu-Washizu variational principle is employed to generate a new strain approximation instead of direct derivation from the basis functions and the displacement fields. The underlying idea embedded in arbitrary finite polygons is named as Polytopal composite finite elements (PCFEM). The PCFEM is accordingly applied within the framework of the nonlocal model of continuum damage mechanics to enhance the description of damage behaviours in which highly localized deformations must be captured accurately. This application is helpful to reduce the mesh-sensitivity and elaborate the process-zone of damage models. Several numerical examples are designed for various cases of fracture to discuss and validate the computational capability of the present method through comparison with published numerical results and experimental data from the literature. © 2023, CC0.

关键词： Finite element method

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Tree-Cotree-Based Tearing and Interconnecting for 3D Magnetostatics: A Dual-Primal Approach

arXiv

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arXiv 2024年

作者： Mally, Mario Kapidani, Bernard Merkel, Melina Schöps, Sebastian Vázquez, Rafael Computational Electromagnetics Group Technische Universität Darmstadt Darmstadt64289 Germany Centre for Computational Engineering Technische Universität Darmstadt Darmstadt64289 Germany Chair of Numerical Modelling and Simulation École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Department of Applied Mathematics Universidade de Santiago de Compostela Santiago de Compostela15782 Spain Santiago de Compostela15782 Spain

The simulation of electromagnetic devices with complex geometries and large-scale discrete systems benefits from advanced computational methods like IsoGeometric Analysis and Domain Decomposition. In this paper, we employ both concepts in an Isogeometric Tearing and Interconnecting method to enable the use of parallel computations for magnetostatic problems. We address the underlying non-uniqueness by using a graph-theoretic approach, the tree-cotree decomposition. The classical tree-cotree gauging is adapted to be feasible for parallelization, which requires that all local subsystems are uniquely solvable. Our contribution consists of an explicit algorithm for constructing compatible trees and combining it with a dual-primal approach to enable parallelization. The correctness of the proposed approach is proved and verified by numerical experiments, showing its accuracy, scalability and optimal convergence. Copyright © 2024, The Authors. All rights reserved.

关键词： Magnetostatics

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From point cloud to IFC: A masonry arch bridge case study 27

From point cloud to IFC: A masonry arch bridge case study

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27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020

作者： Sánchez-Rodríguez, Ana Esser, Sebastian Abualdenien, Jimmy Borrmann, André Riveiro, Belén Department of Materials Engineering Applied Mechanics and Construction School of Industrial Engineering University of Vigo Spain Chair of Computational Modelling and Simulation Technical University of Munich Germany

ISBN: (纸本)9783798331556

For the last several years, laser scanning has become one of the reference technologies when talking about the monitoring of assets. Nowadays, the trend is to use these data for creating semantically rich three-dimensional (3D) models, broadly known as digital twins. The bottleneck appears when processing the large amount of data acquired with the laser scanner. This paper tackles the creation of IFC data models using classified point cloud data. The point labelling methodology is based on one in the state-of-the-art, whose results have been improved. Then, each group of points is converted to a triangulated mesh, and the resultant geometrical objects are placed in an IFC-based model in a low and high level of detail. Moreover, the resultant IFC model allows the enrichment of the captured geometry with additional information. © EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings. All rights reserved.

关键词： Arch bridges

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Two mixed finite element formulations for the weak imposition of the Neumann boundary conditions for the Darcy flow

arXiv

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arXiv 2021年

作者： Burman, Erik Puppi, Riccardo Chair of Computational Mathematics University College London London United Kingdom Chair of Modelling and Numerical Simulation École Polytechnique Fédérale de Lausanne Lausanne Switzerland

We propose two different discrete formulations for the weak imposition of the Neumann boundary conditions of the Darcy flow. The Raviart-Thomas mixed finite element on both triangular and quadrilateral meshes is considered for both methods. One is a consistent discretization depending on a weighting parameter scaling as O(h−1), while the other is a penalty-type formulation obtained as the discretization of a perturbation of the original problem and relies on a parameter scaling as O(h−k−1), k being the order of the Raviart-Thomas space. We rigorously prove that both methods are stable and result in optimal convergent numerical schemes with respect to appropriate mesh-dependent norms, although the chosen norms do not scale as the usual L2-norm. However, we are still able to recover the optimal a priori L2-error estimates for the velocity field, respectively, for high-order and the lowest-order Raviart-Thomas discretizations, for the first and second numerical schemes. Finally, some numerical examples validating the theory are exhibited. © 2021, CC0.

关键词： Boundary conditions

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BIM-integrated LCA - model analysis and implementation for practice

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IOP Conference Series: Earth and Environmental Science 2019年第1期323卷

作者： K Forth A Braun A Borrmann Chair of Computational Modelling and Simulation Technical University of Munich Arcisstr. 21 80333 Munich Germany

Ecological impacts of buildings can be quantified using the method of Lifecycle Assessment (LCA). With the help of digital methods and semantic building models (BIM), those impacts can be reduced by investigation of variants and their LCA comparison. However, there is a large deviation in the results due to inaccuracies in the modeling and the calculation tools. This paper proposes an improved workflow of BIM-integrated LCA avoiding those inaccuracies. As a first step, various sources of error are identified using a model analysis, which is examined with 25 models focusing on geometry and materiality. Thereby different workflows are investigated, modeling recommendations are derived based on the error analysis, and the findings are implemented in a prototype. Through an optimized calculation process, the semi-automatic calculation of life cycle assessments becomes faster, more consistent and more accurate due to the improved integration in BIM.

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26th Annual computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Using Swap-Based Search Trees to obtain Solutions for Resource Constrained Project Scheduling Problems

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PAMM 2014年第1期14卷

作者： Maximilian Bügler André Borrmann Chair of Computational Modelling and Simulation Arcisstraße 21 80333 München Germany

The high level of complexity in modern construction projects causes the problem of scheduling the involved tasks under precedence and resource constraints to be a great challenge. Additionally applications on real construction sites require non linear and non continuous constraints and objective functions. In order to optimize large scale construction sites in practice, this paper proposes a new optimization approach based on creating search trees from swapping and delaying tasks. The convergence of the proposed algorithm is analyzed and its complexity is compared to other available algorithms. (© 2014 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim)

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