Multidisciplinary Scientific Visualization in European R&D Projects

  • Dean VucinicEmail author
Part of the Augmented Vision and Reality book series (Augment Vis Real, volume 4)


The manuscript addresses Scientific Visualization (SV) challenges in the Modeling and Simulation (M&S) environments, experienced by the author in the multidisciplinary European Research and Development (R&D) projects, which are important to be resolved for the growing complexity in evolving engineering software and their related visualization features, as an essential factor to improve their quality and efficient use. The visualization tools are considered as the natural integration mechanism to evidence the complexity and to provide missing integration solutions. Today, the visualization tools are equipped with highly interactive visual aids, which allow analysis and inspection of complex numerical data generated from high-bandwidth data sources such as simulation software, experimental rigs, satellites, scanners, etc. Such tools help scientist and engineers in data extraction, visualization, interpretation, and analysis tasks, enabling them to experience high degree of interaction and effectiveness in solving engineering problems. The modern engineering design is, and has to be based on the M&S principles, the key enabler to combine multidisciplinary workflows, which manage and structure such highly complex industrial solutions, supposed to integrate generic M&S tools based on the open standards solutions. The author gained experience in solving the M&S problems in European engineering R&D projects is presented throughout a time-span of last two decades, where the software technologies have been researched and demonstrated, especially addressing the SV software evolution in engineering, and in addition, the information visualization in general.


Scientific visualization Modeling and simulation Multidisciplinary workflows Information visualization European research and development projects 

List of Abbreviations


Computer aided design


Computer aided engineering


Computational fluid dynamics


Computational flow field visualization


Experimental fluid dynamics


European union


Graphical user interface


Integrated modeling environment


Java 2 platform, enterprise edition


Java open-source J2EE application server


Knowledge based engineering


Knowledge discovery and data mining


Model View Controller


Modular visualization environments


Object oriented methodology


Object oriented programming


Object-oriented programming language


Particle image velocimetry


Quantitative flow field visualization


Software development kit


Simple object access protocol


Scientific visualization


Scientific workflow


Visualization for algorithm development


Visual analytics


Visualization toolkit


Vrije Universiteit Brussel


World Wide Web


Web services



The acknowledgment goes to all the EU projects consortia and the related participants, who took place in these challenging R&D projects span over the last two decades.

The fundings of the European Commission (EC) and the Flemish institute for Innovation and Technology (IWT) are gratefully acknowledged; the LCLMS, ALICE, LASCOT, QNET-CFD, SERKET, and 3D-TestBench projects have been instrumental in allowing carrying out such R&D work. The author is grateful to Vrije Universiteit Brussel for providing the necessary research and computer facilities for running the implementation of the engaged projects.


  1. 1.
    Vucinic, D.: Development of a Scientific Visualization System CFView—Computational Field Visualization System and Object-Oriented Software Methodology, p. 280. Lambert Academic Publishing, Saarbrücken, Germany (2010) Google Scholar
  2. 2.
    Visualization and Knowledge Discovery. Report from the DOE/ASCR Workshop on Visual Analysis and Data Exploration at Extreme Scale (2007)Google Scholar
  3. 3.
    Ma, K.-L., et al. Next-generation visualization technologies: enabling discoveries at extreme scale. SciDAC Rev. 12, 12–21 (2009)Google Scholar
  4. 4.
    Elmagarmid, A.K., et al.: Community-cyberinfrastructure-enabled discovery in science and engineering. Comput. Sci. Eng. 10, 46–53 (2008)CrossRefGoogle Scholar
  5. 5.
    Morgan, K., et al.: A parallel framework for multidisciplinary aerospace engineering simulations using unstructured meshes. Int. J. Numer. Meth. Fluids 31, 159–173 (1999)CrossRefzbMATHGoogle Scholar
  6. 6.
    Sahu, R., et al.: An object-oriented framework for multidisciplinary, multi-physics, computational mechanics. Eng. Comput. 15, 105–125 (1999)CrossRefGoogle Scholar
  7. 7.
    Wainer, G., Liu, Q.: Tools for Graphical specification and visualization of DEVS models. Simul. Trans. Soc. Model. Simul. Int. 85, 131–158 (2009)CrossRefGoogle Scholar
  8. 8.
    Muranaka, T., et al.: Development of multi-utility spacecraft charging analysis tool (MUSCAT). IEEE Trans. Plasma Sci. 36, 2336–2349 (2008)CrossRefGoogle Scholar
  9. 9.
    Sokolowski, J.A., Banks, C.M.: Principles of Modeling and Simulation: A Multidisciplinary Approach. John Wiley, Hoboken (2009)CrossRefGoogle Scholar
  10. 10.
    Byungil, J.: Ultrascale collaborative visualization using a display-rich global cyberinfrastructure. IEEE Comput. Graphics Appl. 30, 71–83 (2010)Google Scholar
  11. 11.
    Deremaux, Y.: Physically-based, real-time visualization and constraint analysis in multidisciplinary design optimization. MSc Thesis in Aeronautics and Astronautics, Massachusetts Institute of Technology (2003)Google Scholar
  12. 12.
    Brodlie, K., et al.: Visualization ontologies. Report of a Workshop held at the National e-Science Centre (2004)Google Scholar
  13. 13.
    Vucinic, D., et al.: Towards interoperable X3D models and web-based environments for engineering optimization problems (EngOpt). International Conference on Engineering Optimization Proceedings, Rio de Janeiro, Brazil (2008)Google Scholar
  14. 14.
    CEASIOM software: computerised environment for aircraft synthesis and integrated optimisation methods. (2014)
  15. 15.
    Vucinic, D., et al.: CFView: an advanced interactive visualization system based on object-oriented approach. In: AIAA 30th Aerospace Sciences Meeting, Reno, Nevada (1992)Google Scholar
  16. 16.
    Ensight Software. What is EnSight. (2014)
  17. 17.
    Duque, E., et al.: Post-processing techniques for large-scale unsteady CFD datasets. In: 45th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada (2007)Google Scholar
  18. 18.
    Legensky, S.M.: Recent advances in unsteady flow visualization. In: 13th AIAA Computational Fluid Dynamics Conference, Snowmass Village, CO (1997)Google Scholar
  19. 19.
    Taflin, D.E.: TECTOOLS/CFD: a graphical interface toolkit for network-based CFD. In: 36th Aerospace Sciences Meeting and Exhibit, Reno, NV (1998)Google Scholar
  20. 20.
    ParaView software. Parallel visualization application. (2014)
  21. 21.
    Ramachandran, P., Varoquaux, G.: Mayavi: making 3D data visualization reusable. In: 7th Python in Science Conference Proceedings, pp. 51–56, Pasadena, CA USA (2008)Google Scholar
  22. 22.
    Whitlock, B.J.: Visualization with VisIt. (UCRL-PRES-209591). Lawrence Livermore National Laboratory (2005)Google Scholar
  23. 23.
    Bertini, E., Lalanne, D.: Investigating and Reflecting on the Integration of Automatic Data Analysis and Visualization in Knowledge Discovery. ACMSIGKDD Explorations 11(2), 9–18 (2009)Google Scholar
  24. 24.
    Keim, D., Mansmann, F., Oelke, D., Ziegler, H.: Visual Analytics: Combining Automated Discovery with Interactive Visualizations, International Conference on Discovery Science, Lecture Notes in Computer Science (LNCS). Discovery Science, vol. 5255, pp. 2-14, Springer-Verlag, Budapest (2008)Google Scholar
  25. 25.
    Zhanjun, L., et al.: A Methodology for Engineering Ontology Acquisition and Validation, vol. 23, pp. 37–51. Cambridge University Press, New York (2009)Google Scholar
  26. 26.
    Extensible 3D (X3D) Specification, ISO/IEC 19775-1:2013. (2013)
  27. 27.
    Craig, A., et al. (2006) Evaluating X3D for use in software visualization. In: Proceedings of the ACM Symposium on Software Visualization, Brighton, United KingdomGoogle Scholar
  28. 28.
    Geroimenko, V., Chen, C.: Visualizing Information Using SVG and X3D: XML-Based Technologies for the XML-Based Web. Springer, London (2005)CrossRefGoogle Scholar
  29. 29.
    XSL Transformations (XSLT) Version 1.0 W3C Recommendation. (1999)
  30. 30.
    Lassila, O., Swick, R.R. (eds.): Resource Description Framework (RDF), Model and Syntax Specification, W3C Recommendation (1999)Google Scholar
  31. 31.
    Zuo, Z., Zhou, M.: Web ontology language OWL and its description logic foundation. In: Proceedings of the 4th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT, pp. 157–160 (2003)Google Scholar
  32. 32.
    Vucinic, D.: Object oriented programming for computer graphics and flow visualization. In: VKI Lecture Series on Computer Graphics and Flow Visualization in CFD, ed. von Karman Institute for Fluid Dynamics, Brussels, Belgium, vol. 7, p. 37 (1991)Google Scholar
  33. 33.
    Vucinic, D.: Development of a scientific visualization system. PhD Thesis, Department of Mechanical Engineering, Vrije Universiteit Brussel (2007)Google Scholar
  34. 34.
    Yolanda, G.: From Data to Knowledge to Discoveries: Artificial Intelligence and Scientific Workflows, vol. 17, pp. 231–246. IOS Press, Amsterdam (2009)Google Scholar
  35. 35.
    Vouk, M.A., Altintas, I., Barreto, R., Blondin, J., Cheng, Z., Critchlow, T., Khan, A., Klasky, S., Ligon, J., Ludaescher, B., Mouallem, P.A., Parker, S., Podhorszki, N., Shoshani, A., Silva, C. (eds.): Automation of Network-Based Scientific Workflows (IFIP International Federation for Information Processing Grid-Based Solving Environments). Springer, Boston (2007)Google Scholar
  36. 36.
    Doran, P., et al.: Ontology module extraction for ontology reuse: an ontology engineering perspective. In: Proceedings of the 16th ACM Conference on Information and Knowledge Management, Lisbon, Portugal (2007)Google Scholar
  37. 37.
    Barseghian, D., et al.: Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis. Ecological Informatics 5, 42–50 (2010)CrossRefGoogle Scholar
  38. 38.
    Tohline, J.E., et al.: A Customized Python Module for CFD Flow Analysis within VisTrails. Comput. Sci. Eng. 11, 68–72 (2009)CrossRefGoogle Scholar
  39. 39.
    Vucinic, D., Hirsch, C.: Computational flow visualization system at VUB (CFView 1.0). VKI Lecture Series on Computer Graphics and Flow Visualization in CFD, 1989-07, Brussels, Belgium (1989)Google Scholar
  40. 40.
    Désidéri, J.-A., et al.: Hypersonic Flows for Reentry Problems: Survey Lectures and Test cases for Analysis, vol. 1, pp. 22–25. Springer, Heidelberg (1990)Google Scholar
  41. 41.
    Torreele, J., Keymeulen, D., Vucinic, D., van den Berghe, C.S., Graat, J., Hirsch, Ch.: Parallel CFView : a SIMD/MIMD CFD visualisation system in a heterogeous and distributed environment. In: International Conference on Massively Parallel Processing, Delft, The Netherlands (1994)Google Scholar
  42. 42.
    Lang, U.: A software environment for cooperative simulation and visualization in the aerospace field. High Perform. Comput. Networking Lect. Notes Comput. Sci. 797, 70–76 (1994)CrossRefGoogle Scholar
  43. 43.
    Jalby, W.: Europe: building confidence in parallel HPC. Comput. Sci. Eng. (1994). doi: 10.1109/MCSE.1994.10034 Google Scholar
  44. 44.
    Grijspeerdt, K., Backx, E., Rammant, J.P.: LCLMS, an advanced database environment for the development of multimedia courses. In: Computers in the practice of building and civil engineering, Worldwide ECCE symposium, Finland (1997)Google Scholar
  45. 45.
    Vucinic, D., et al.: QFView—an internet based archiving and visualization system. In: 39th Aerospace Sciences Meeting and Exhibit, Reno, Nevada (2001)Google Scholar
  46. 46.
    Vucinic, D., et al.: Fast and convenient access to fluid dynamics data via the World Wide Web. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), Invited Technological Session on Parallel Multidisciplinary Simulation Environments, Barcelona, Spain (2000)Google Scholar
  47. 47.
    Shannon, B.: Java 2 Platform, Enterprise Edition: Platform and Component Specifications. Addison-Wesley, Boston (2000)Google Scholar
  48. 48.
    Purba, S.: High-Performance Web Databases: Design, Development and Deployment. Auerbach, Boca Raton (2001)Google Scholar
  49. 49.
    Eberhart, A., Fischer, S.: Java tools: Using XML, EJB, CORBA, Servlets and SOAP. Wiley, New York (2002)Google Scholar
  50. 50.
    QNET-consortium, GTC1-CT99-10030 QNET-CFD. Final Technical Report (2004)Google Scholar
  51. 51.
    LASCOT project info. (2014)
  52. 52.
    Vucinic, D., et al.: Distributed 3D information visualization, towards integration of the dynamic 3D graphics and Web services. In: 1st International Conference on Computer Graphics Theory and Applications, Setúbal, Portugal (2006)Google Scholar
  53. 53.
  54. 54.
    ITEA2_3D-TestBench_consortium, 3D-TestBench. Full Project Proposal Revision (2007)Google Scholar
  55. 55.
    SIMDAT FP6 Grid project, data grids for process and product development using numerical simulation and knowledge discovery. (2008)
  56. 56.
    Pandey, S., et al.: A grid workflow environment for brain imaging analysis on distributed systems. Concurrency and Comput. Pract. Experience 21, 2118–2139 (2009)CrossRefGoogle Scholar
  57. 57.
    Jeong, M.-J., et al.: e-AIRS: aerospace integrated research systems. In: International Symposium on Collaborative Technologies and Systems (CTS’07), Orlando, Florida, USA (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Mechanical Engineering, Department of Electronics and InformaticsVrije Universiteit BrusselBrusselsBelgium

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