Auflistung Fakultät für Maschinenbau nach Dewey Decimal Classification

Auflistung Fakultät für Maschinenbau nach Dewey Decimal Classification

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  • 3D mixed virtual element formulation for dynamic elasto-plastic analysis 
    Cihan, Mertcan; Hudobivnik, Blaž; Aldakheel, Fadi; Wriggers, Peter (Berlin, Heidelberg : Springer, 2021)
    The virtual element method (VEM) for dynamic analyses of nonlinear elasto-plastic problems undergoing large deformations is outlined within this work. VEM has been applied to various problems in engineering, considering ...
  • 3D stabilization-free virtual element method for linear elastic analysis 
    Xu, Bing-Bing; Wriggers, Peter (Amsterdam [u.a.] : Elsevier Science, 2024)
    We present a first-order stabilization-free virtual element method (VEM) for three-dimensional linear elastic problems in this paper. VEM has been increasingly used in various fields of engineering, but the need of ...
  • A general phase-field model for fatigue failure in brittle and ductile solids 
    Seleš, Karlo; Aldakheel, Fadi; Tonković, Zdenko; Sorić, Jurica; Wriggers, Peter (Berlin : Springer, 2021)
    In this work, the phase-field approach to fracture is extended to model fatigue failure in high- and low-cycle regime. The fracture energy degradation due to the repeated externally applied loads is introduced as a function ...
  • A multiscale DEM–FEM coupled approach for the investigation of granules as crash-absorber in ship building 
    Chaudry, Mohsin Ali; Woitzik, Christian; Düster, Alexander; Wriggers, Peter (Berlin ; Heidelberg [u.a.] : Springer, 2022)
    This paper covers a numerical analysis of a novel approach to increasing the crashworthiness of double hull ships. As proposed in Schöttelndreyer (Füllstoffe in der Konstruktion: ein Konzept zur Verstärkung vonSchiffsseitenhüllen, ...
  • A Selection of Benchmark Problems in Solid Mechanics and Applied Mathematics 
    Schröder, Jörg; Wick, Thomas; Reese, Stefanie; Wriggers, Peter; Müller, Ralf; Kollmannsberger, Stefan; Kästner, Markus; Schwarz, Alexander; Igelbüscher, Maximilian; Viebahn, Nils; Bayat, Hamid Reza; Wulfinghoff, Stephan; Mang, Katrin; Rank, Ernst; Bog, Tino; D’Angella, Davide; Elhaddad, Mohamed; Hennig, Paul; Düster, Alexander; Garhuom, Wadhah; Hubrich, Simeon; Walloth, Mirjam; Wollner, Winnifried; Kuhn, Charlotte; Heister, Timo (Berlin [u.a.] : Springer, 2020)
    In this contribution we provide benchmark problems in the field of computational solid mechanics. In detail, we address classical fields as elasticity, incompressibility, material interfaces, thin structures and plasticity ...
  • A virtual element formulation for general element shapes 
    Wriggers, Peter; Hudobivnik, Blaz; Aldakheel, Fadi (Berlin [u.a.] : Springer, 2020)
    The virtual element method is a lively field of research, in which considerable progress has been made during the last decade and applied to many problems in physics and engineering. The method allows ansatz function of ...
  • Agent collaboration in a multi-agent-system for analysis and optimization of mechanical engineering parts 
    Gembarski, Paul Christoph (Amsterdam [u.a.] : Elsevier, 2020)
    In mechanical engineering, designers have to review a designed artefact iteratively with different domain experts, e.g. from manufacturing, to avoid later changes and find a robust, optimized design. To support the designer, ...
  • Agentenbasiertes Auftragsmanagement für die Multiressourcen-Montage 
    Frackenpohl, Detlef (Hannover : Universität, 2002)
    [no abstract]
  • Bayesian inversion for unified ductile phase-field fracture 
    Noii, Nima; Khodadadian, Amirreza; Ulloa, Jacinto; Aldakheel, Fadi; Wick, Thomas; François, Stijn; Wriggers, Peter (Berlin, Heidelberg : Springer, 2021)
    The prediction of crack initiation and propagation in ductile failure processes are challenging tasks for the design and fabrication of metallic materials and structures on a large scale. Numerical aspects of ductile failure ...
  • Computational Machine Learning Representation for the Flexoelectricity Effect in Truncated Pyramid Structures 
    Hamdia, Khader M.; Ghasemi, Hamid; Zhuang, Xiaoying; Alajlan, Naif; Rabczuk, Timon (Henderson : Tech Science Press, 2019)
    In this study, machine learning representation is introduced to evaluate the flexoelectricity effect in truncated pyramid nanostructure under compression. A Non-Uniform Rational B-spline (NURBS) based IGA formulation is ...
  • A curing model for the numerical simulation within additive manufacturing of soft polymers using peridynamics 
    Hartmann, Philipp; Weißenfels, Christian; Wriggers, Peter (Berlin ; Heidelberg [u.a.] : Springer, 2020)
    Within this paper, the modelling and simulation of extrusion-based Additive Manufacturing (AM) processes of curing polymers is presented. The challenge of the AM is the adjustment of processing parameters. This includes ...
  • Curvilinear virtual elements for contact mechanics 
    Aldakheel, Fadi; Hudobivnik, Blaž; Artioli, Edoardo; Beirão da Veiga, Lourenço; Wriggers, Peter (Amsterdam [u.a.] : Elsevier, 2020)
    The virtual element method (VEM) for curved edges with applications to contact mechanics is outlined within this work. VEM allows the use of non-matching meshes at interfaces with the advantage that these can be mapped to ...
  • Data-Based Energy Demand Prediction for Hybrid Electrical Vehicles 
    Fink, Daniel; Maas, Oliver; Herda, Daniel; Ziaukas, Zygimantas; Schweers, Christoph; Trabelsi, Ahmed; Jacob, Hans-Georg (Singapore : Springer Singapore, 2024)
    To achieve a resource-efficient automotive traffic, modern driver assistance systems minimize the vehicle’s energy demand through speed optimization algorithms. Based on predictive route data, the required energy for ...
  • Datenqualitätssicherung im Forschungsprozess am Beispiel von Zugversuchen 
    Müller, Laura; Wawer, Max Leo; Heimes, Norman; Uhe, Johanna; Koepler, Oliver; Auer, Sören; Lachmayer, Roland; Mozgova, Iryna (Erlangen : Ehemaligennetzwerk des Lehrstuhls für Konstruktionstechnik (KTmfk) Erlangen e.V., 2023)
    Progressive digitization throughout the entire product data life cycle requires a more sensitive handling and understanding of data within engineering processes. Regarding engineering research data, the aim is to implement ...
  • Decision - Information - time/space 
    Overmeyer, Ludger; Stock, Andreas (Bingley : Emerald Group Publishing Ltd., 2007)
    Purpose - The standard terms of time and space lead to logical contradictions near the borderline of physics. Therefore, we suggest a new term for time and space, which enlarges the understanding but takes the actual ...
  • Development of a knowledge-based and collaborative engineering design agent 
    Plappert, Stefan; Gembarski, Paul Christoph; Lachmayer, Roland (Amsterdam [u.a.] : Elsevier, 2022)
    In order to avoid errors in engineering design that affect the later product life cycle, especially the manufacturing process, an analysis or evaluation has to be performed at the earliest possible stage. As this evaluation ...
  • Dip coating of thin polymer optical fibers 
    Evertz, Andreas; Schrein, Daniel; Olsen, Ejvind; Hoffmann, Gerd-Albert; Overmeyer, Ludger (Orlando, Fla. : Academic Press, 2021)
    To produce polymer optical fibers in research environments, a flexible cladding material-application process is required. Further, to functionalize the waveguide, the fiber core-production step needs to be separated from ...
  • Discrete element model for general polyhedra 
    Neto, Alfredo Gay; Wriggers, Peter (Berlin ; Heidelberg [u.a.] : Springer, 2021)
    We present a version of the Discrete Element Method considering the particles as rigid polyhedra. The Principle of Virtual Work is employed as basis for a multibody dynamics model. Each particle surface is split into ...
  • Distinguishability study of 3-Mass Models for Electromechanical Motion Systems 
    Tantau, Mathias; Helmke, Christian; Perner, Lars (Inderscience Enterprises : Genève, 2020-01)
    Physically motivated models of electromechanical motion systems are required in several applications related to control design and auto-tracking, model-based fault detection, feed-forward, and simply interpretation. However, ...
  • Efficient multiscale modeling of heterogeneous materials using deep neural networks 
    Aldakheel, Fadi; Elsayed, Elsayed S.; Zohdi, Tarek I.; Wriggers, Peter (Berlin ; Heidelberg : Springer, 2023)
    Material modeling using modern numerical methods accelerates the design process and reduces the costs of developing new products. However, for multiscale modeling of heterogeneous materials, the well-established homogenization ...

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