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Hochschule Düsseldorf
University of Applied Sciences
Fachbereich Maschinenbau & Verfahrenstechnik
Faculty of Mechanical and Process Engineering
Aktuelles Studium Forschung Personen Profil Service


Peer-Reviewed International Journals

  • Y. Guo, H. Do, M. Ruess (2019). Isogeometric stability analysis of thin shells: from simple geometries to engineering models, Int'l Journal for Numerical Methods in Engineering, 118(8), pp. 433-458
  • P. Keshavanarayana, M. Ruess, R. de Borst (2018) . On the monolithic and staggered solution of cell contractility and focal adhesion growth, Int'l Journal for Numerical Methods in Biomedical Engineering, 34(11):e3138
  • Y. Guo, J. Heller, T.J.R. Hughes, M. Ruess, D. Schillinger (2018) Variationally consistent isogeometric analysis of trimmed thin shells at finite deformations, based on the STEP exchange format, Computer Methods in Applied Mechanics and Engineering 336, pp. 39--79
  • M. Elhaddad, N. Zander, T. Bog, L. Kudela, S. Kollmannsberger, J. S. Kirschke, T. Baum, M. Ruess, E. Rank (2017). Multi-level hp-finite cell method for embedded interface problems with application in biomechanics, Int'l Journal for Numerical Methods in Biomedical Engineering, 34(4):e2951
  • P. Keshavanarayana, M. Ruess, R. de Borst (2017). A feedback-loop extended stress fiber growth model with focal adhesion formation, Int'l Journal of Solids and Structures, 128, pp. 160-173
  • L.H. Nguyen, S.K.F. Stoter, M. Ruess, M.A.S. Uribe, D. Schillinger (2017). The diffuse Nitsche method: Dirichlet constraints on phase-field boundaries, Int'l Journal for Numerical Methods in Engineering,  113(4), pp. 601–633
  • D. Magisano, K. Liang, G. Garcea, L. Leonetti, M. Ruess (2017). An efficient mixed variational reduced order model formulation for non-linear analyses of elastic shells, Int'l Journal for Numerical Methods in Engineering, 113(4), pp. 634–655.
  • L.H. Nguyen, S.K.F. Stoter, T. Baum, J.S. Kirschke, M. Ruess, Z. Yosibash, D. Schillinger (2017). Phase-field boundary conditions for the voxel finite cell method: surface-free stress analysis of CT-based bone structures, Int'l Journal for Numerical Methods in Biomedical Engineering, 33(12), DOI: 10.1002/cnm.2880.
  • Y. Guo, M. Ruess, D. Schillinger (2017). A parameter-free variational coupling approach for trimmed isogeometric thin shells, Computational Mechanics 59(4), pp. 693-715.
  • J.P.Groen, M. Langelaar, O. Sigmund, M. Ruess (2016). Higher-order multi-resolution topology optimization using the finite cell method, accepted for publication, Int'l Journal for Numerical Methods in Engineering, 110(10), pp. 903-920.
  • N. Zander, M. Ruess, T. Bog, S. Kollmannsberger, E. Rank (2017). Multi-Level hp-Adaptivity for Cohesive Fracture Modelling, Int'l Journal for Numerical Methods in Engineering 109(13), pp. 1723-1755.
  • K. Liang, M. Ruess (2016). Nonlinear buckling analysis of the conical and cylindrical shells using the SGL strain based reduced order model and the PHC method, Aerospace Science and Technology 55, pp.103-110.
  • K. Liang, M. Ruess , M. Abdalla (2016). Co-rotational finite element formulation used in the Koiter-Newton method for nonlinear buckling analyses, Finite Elements in Analysis and Design 116, pp. 38-54.
  • V. Varduhn, M.C. Hsu, M. Ruess, D. Schillinger (2016). The tetrahedral finite cell method: Higher-order immersogeometric analysis on adaptive non-boundary-fitted meshes,  Int’l Journal for Numerical Methods in Engineering 107(12), pp. 1054-1079.
  • K. Liang, M. Ruess , M. Abdalla (2016). An eigenanalysis-based bifurcation indicator proposed in the framework of a reduced-order modeling technique for nonlinear structural analysis, Int'l Journal of Non-Linear Mechanics 81, pp. 129-138.
  • H. Wille, M. Ruess , E. Rank, Z. Yosibash (2016). Uncertainty quantification for personalized analyses of human femurs, Journal of Biomechanics 49(4), pp. 520-527.
  • L. Friedrich, S. Loosen, K. Liang, M. Ruess, C. Bisagni, K.-U. Schröder  (2015). Stacking sequence influence on imperfection sensitivity of composite cylindrical shells under axial compression, Composite Structures 134, pp. 750-761.
  • Y. Guo, M. Ruess (2015). Weak Dirichlet Boundary Conditions for Trimmed Thin Isogeometric Shells, Computers and Mathematics with Applications 70(7), pp. 1425-1440.
  • Y. Guo, M. Ruess (2015). A Layerwise Isogeometric Approach for NURBS-derived Laminate Composite Shells, Composite Structures 124, pp. 300-309. 
  • S. Kollmannsberger, A. Özcan, J. Baiges, M. Ruess , E. Rank, A. Reali (2015). Parameter-free, weak imposition of Dirichlet boundary conditions and coupling of trimmed and non-conforming patches, Int’l Journal for Numerical Methods in Engineering 101(9), pp. 670-699.
  • K. Liang, Y. J. Zhang, Q. Sun, M. Ruess (2015). A new robust design for imperfection sensitive stiffened cylinders used in aerospace engineering, Science China Technological Sciences 58(5), pp. 796-802.
  • D. Schillinger, M. Ruess (2015). The Finite Cell Method: A review in the context of higher-order structural analysis of CAD and image-based geometric models, Archives of Computational Methods in Engineering 22(3), pp. 391-455.
  • Y. Guo, M. Ruess (2014). Nitsche’s Method for a Coupling of Isogeometric Thin Shells and Blended Shell Structures, Computer Methods in Applied Mechanics and Engineering 284, pp. 881-905.
  • K. Liang, M. Ruess , M. Abdalla (2014). The Koiter-Newton approach using von Kármán kinematics for buckling analyses of imperfection sensitive structures, Computer Methods in Applied Mechanics and Engineering 279, pp. 440-468.
  • Y. Guo, M. Ruess, Z. Gürdal (2014). A Contact Extended Isogeometric Layerwise Approach for the Buckling Analysis of Delaminated Composites, Composite Structures, 116, pp. 55-66.
  • M. Ruess, D. Schillinger, A.I. Özcan, E. Rank (2014). Weak coupling for isogeometric analysis of non-matching and trimmed multi-patch geometries, Computer Methods in Applied Mechanics and Engineering 269, pp. 46–71.
  • N. Zander, T. Bog, M. Elhaddad, R. Espinoza, H. Hu, A.F. Joly, C. Wu, P. Zerbe, A. Düster, S. Kollmannsberger, J. Parvizian, M. Ruess, D. Schillinger, E. Rank (2014). FCMLab: A Finite Cell Research Toolbox for MATLAB, Advances in Engineering Software, 74, pp. 49–63.
  • M. Ruess, D. Schillinger, Y. Bazilevs, V. Varduhn, E. Rank (2013). Weakly enforced essential boundary conditions for nurbs-embedded and trimmed nurbs geometries on the basis of the finite cell method, Int’l Journal for Numerical Methods in Engineering, 95(10), pp. 811–846.
  • E. Rank, M. Ruess, S. Kollmannsberger, D. Schillinger, A. Düster (2012). Geometric modeling, isogeometric analysis and the finite cell method, Computer Methods in Applied Mechanics and Engineering 249-252, pp. 104–115.
  • N. Zander, S. Kollmannsberger, M. Ruess, Z. Yosibash, E. Rank (2012). The Finite Cell Method for Linear Thermoelasticity, Computers and Mathematics with Applications 64(11), pp. 3527–3541.
  • Z. Yang, M. Ruess, S. Kollmannsberger, A. Düster, E. Rank (2012). An efficient integration technique for the voxel-based finite cell method, Int’l Journal for Numerical Methods in Engineering, 91(5), pp. 457–471.
  • M. Ruess, D. Tal, N. Trabelsi, Z. Yosibash, E. Rank (2012). The finite cell method for bone simulations: Verification and validation, Biomechanics and Modeling in Mechanobiology, 11(3), pp. 425–437.
  • D. Schillinger, M. Ruess, N. Zander, Y. Bazilevs, A. Düster, E. Rank (2012). Small and large deformation analysis with the p- and B-spline versions of the Finite Cell Method, Computational Mechanics, 50(4), pp. 445–478.
  • Z. Yang, S. Kollmannsberger, A. Düster, M. Ruess, E. Grande Garcia, R. Burgkart, E. Rank (2012). Non-standard bone simulation: Interactive numerical analysis by computational steering, Computing and Visualization in Science, 14(5), pp. 207–216.
  • M. Ruess, P.J. Pahl (2009). An extended qr-solver for large profiled matrices, Int'l Journal for Numerical Methods in Engineering, 79(11), pp. 1419–1442.

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International Conferences - Peer-Reviewed Articles

  • M. Landwehr, S. Schmid, V. Holla, P. Ganser, T. Bergs, M. Ruess, K.-U. Schröder (2021). The finite cell method for the prediction of machining distortion caused by initial residual stresses in milling, 18th CIRP Conference on Modeling of Machining Operations (CIRP 2021),
  • L. Friedrich, P. Lyssakow, G. Pearce, M. Ruess, C. Bisagni, K.-U. Schröder (2016). On the Structural Design of Imperfection Sensitive Laminated Composite Shell Structures Subjected to Axial Compression, VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2016), Crete Island, Greece.
  • P. Keshavanarayana, René de Borst, M. Ruess (2016). A monolithic approach to cell contractility, 24th UK Conference of the Association for Computational Mechanics in Engineering, Cardiff, UK.
  • L. Friedrich, M. Ruess, K.-U. Schröder (2016). Efficient and robust shell design of space launcher vehicle structures, 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech, San Diego, CA, USA.
  • Y. Guo, M. Ruess (2015). Isogeometric Weak Coupling of Shell Structures, 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech, Kissimmee, FL, USA.
  • S. Duckitt, Y. Guo, M. Ruess (2014). Isogeometric Modeling of Delamination of Laminated Composite Structures, 27th Nordic Seminar on Computational Mechanics, Stockholm, Sweden.
  • K. Liang, M. Ruess, M. Abdalla, Z. Gürdal (2014) A New Koiter Asymptotic Analysis for Buckling-Sensitive Structures, European Conference on Spacecraft Structures, Materials & Environmental Testing, Braunschweig, Germany
  • J. Luque, I. Papaioannou, D. Straub, M. Ruess, D.Schillinger (2013). Probabilistic model of bone structure based on CT scan data and validation of simulation results using the Finite Cell Method. Proc. 11th International Conference on Structural Safety & Reliability, pp. 1–8, New York, NY, USA.
  • M. Ruess, Y. Bazilevs, D. Schillinger, N. Zander, E. Rank (2012). Weakly enforced boundary conditions for the NURBS-based finite cell method. CD-ROM Proc. ECCOMAS 2012, Vienna, Austria, Eds.: Eberhardsteiner, J.; Böhm, H.J.; Rammerstorfer, F.G., Publisher: Vienna University of Technology, Austria, ISBN: 978-3-9502481-9-7, pp. 1–16.
  • M. Ruess, V. Varduhn, Z. Yosibash, E. Rank (2012). A parallel high-order fictitious domain approach for biomechanical applications. Proc. ISPDC 2012-International Symposium on Parallel and Distributed Computing, pp. 279–285, München, Germany.
  • D. Schillinger, M. Ruess, A. Düster, E. Rank (2011). Geometrically nonlinear simulation of complex structures with the hp-d Finite Cell Method, Proc. in Applied Mathematics and Mechanics (PAMM) 11(1), pp. 271–272, GAMM, Graz, Austria.
  • M. Ruess, Z. Yosibash, E. Rank (2011). Application of the Finite Cell Method to patient-specific femur simulations, Proc. in Applied Mathematics and Mechanics (PAMM) 11(1), pp. 117–118, GAMM, Graz, Austria.
  • F. Frischmann, M. Buchschmid, M. Ruess, J. Kreutz, G. Müller (2011). Numerical Models for Violins, Proc. Jahrestagung Deutsche Gesellschaft für Akustik e.V. (DAGA), pp. 573–574, Düsseldorf, Germany.
  • M. Ruess, R.P. Mundani, E. Rank (2009). Computational Steering in Dynamic Structure Simulation: An improved communication concept, Proc. IEEE Toronto Int’l Conf. - Science and Technology for Humanity, pp. 497–502, Toronto, Canada.
  • J. Knezevic, M. Ruess, R.P. Mundani (2008). Computational Steering in Engineering Simulations, Proc. 20. Forum Bauinformatik. R. Windisch et al., eds., SDV Direct World, pp. 121–128, Dresden, Germany.
  •  M. Ruess (2006). Stable and Reliable Computation of Eigenvectors of Large Profile Matrices, Proc. 11th Int’l Conf. on Computing in Civil and Building Engineering (ICCCBEXI), pp. 848–857, Montréal, Canada.
  • M. Ruess (2002). Matrix Iteration For Large Symmetric Eigenvalue Problems, Proc. Int’l Conf. on Computing in Civil and Building Engineering (ICCCBE-IX), pp. 375–380, Taipei, Taiwan.
  • P.J. Pahl, M. Ruess (2001). Eigenstates of Profiled Matrices (Keynote/Plenary Lecture), Proc. Int’l Conf. on Structural Engineering, Mechanics and Computation (SEMC), pp. 63–72, Cape Town, South Africa.
  •  M. Ruess, P.J. Pahl (2000). Die Bestimmung der Eigenzustände mit dem Verfahren der Inversen Matrixiteration, Proc. (CD-ROM) Int’l Conf. on the Application of Computer Science and Mathematics in Architecture and Civil Engineering (IKM), pp. 1–5, Weimar, Germany.
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Editorial & Book Chapters

  • J. Hanff, E. Kasparek, M. Ruess, G. Schutte (Eds.) (2000). 12. Forum Bauinformatik 2000, Fortschritt-Berichte VDI Nr.163, VDI Verlag GmbH, Düsseldorf.
  • M. Apel, M. Binder, A. Butz, B. Döbbeler, A. Fischersworring-Bunk, F. Klocke, S. Münstermann, U. Prahl, M. Ruess, K. Schröder, Integrative Werkstoff- und Prozesssimulation, Aachener Werkzeugmaschinen Kolloquium 2017 - book chapter, 25 pages
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Theses

  • M. Ruess (2014). Analysis-Controlled Design & Prognosis in the Framework of Higher Order Approximation, Habilitation Thesis, Technische Universität München.
  • M. Ruess (2005). Eine Methode zur vollständigen Bestimmung der Eigenzustände reeller symmetrischer Profilmatrizen, PhD Thesis, Technische Universität Berlin.
  • M. Ruess (1999). Die Bestimmung der Eigenzustände durch Inverse Matrixiteration, Diploma Thesis, Technische Universität Berlin.
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Internationalization Talks

  • M. Ruess (2007). Computational Steering for Orthopaedics. China and Germany: Educating Researchers for the Future, Presentation of German Research and Graduate Schools by DAAD, Beijing - Shanghai, China, 2007
  • M. Ruess (2002). Joint Curriculum Development Technische Universität Berlin - University of Stellenbosch, Invited Talk, DAAD/HRK Conference South-North-Dialogue in Innovative Strategies in International Post-Graduate Education: Challenges, Obstacles and Best Practices. Bonn - Berlin, Germany.
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Popular Science Contributions

  • M. Ruess. Planung mit virtueller Prothese, Deutsches Ärzteblatt (German Medical Association), Jg. 107, Heft 28/29, Juli 2010
  • A. Killer. Forscher simulieren Hüftgelenk-OP, um Implantate zu verbessern; Radiointerview mit Dr.-Ing. Martin Ruess und PD Dr.med. Rainer Burgkart im Deutschlandfunk (national German public broadcasting radio broadcaster), 2010.
  • T. Meißner. Hüftprothesen von morgen - Virtueller Test: Jedem Femur das passende Implantat, Interview mit Dr.-Ing. Martin Ruess Extracta Orthopaedica, Ausgabe 02/10 Band 3, Springer Verlag, 2010.
  • Philip Wolff, M. Ruess. Informatiker und Ingenieure bauen virtuelle Prothese, Presseinformation der Technischen Universität München, 2009.

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Technical Reports

  • M. Ruess (2003) Geometrisch nichtlineare Formulierung räumlicher Stabtragwerke, Theoretische Methoden der Bau- und Verkehrstechnik, Technische Universität Berlin.
  • M. Ruess (2005) FELiNA - Finite Elements for Linear and Nonlinear Analysis, API-Software Dokumentation. Theoretische Methoden der Bau- und Verkehrstechnik, Technische Universität Berlin.
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Invited Talks (selection)

  • M. Ruess (2017). A semi-automated high-order modelling and simulation approach for in-vivo bone analyses , College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, China.
  • M. Ruess (2016). Weakly enforced coupling constraints for isogeometric rotation-free thin shells, Fraunhofer Gesellschaft, Zentrale München, Germany.
  • M. Ruess (2015). Development & application of improved design approaches, 3rd International Conference on Buckling and Postbuckling Behaviour of Composite Laminated Shell Structures, Braunschweig, Germany.
  • M. Ruess (2014). Recent trends in the framework of higher order approximation methods - Durham University, UK.
  • M. Ruess, Y. Guo (2014). Weak enforcement of boundary conditions and coupling constratints for thin shells – 6th Int'l Workshop on High-Order Finite Element and Isogeometric Methods, Frauenchiemsee, Germany.
  • M. Ruess, A. Özcan, D. Schillinger, E. Rank (2013). A Nitsche based mortar method for non-matching and trimmed NURBS patches – Advances in Computational Mechanics, San Diego, CA, USA.
  • M. Ruess (2011). High order approximation - Grundlagen & Anwendungen – Fachhochschule Kärnten, Spittal a.d. Drau, Austria, 2011.
  • M. Ruess, M. Gunzburger, M. Hanke (2011). Graduate Education in CSE: Perspectives, Developments, Challenges, Results – Keynote Lecture, SIAM-CSE11-Conference, Reno, USA.
  • M. Ruess, D. Schillinger, Y. Bazilevs, E. Rank (2011). The B-Spline version of the Finite Cell Method for Linear and Nonlinear Analysis of complex Structures – Isogeometric Analysis-Conference IGA2011, Austin, USA.
  • M. Ruess (2009). Computational Steering for Orthopaedics – Dept. Queen’s University, Kingston, Ontario, Canada.
  • M. Ruess (2006). Stable and reliable solution methods for eigenvalue problems in engineering – Dept. Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
  • M. Ruess (2006). Objektorientierte Modellierung numerischer Berechnungsverfahren – Kleinwalsertal, Graduiertenkolleg 615, Universität Hannover, Germany.