An Approach to Classify Methods to Control Uncertainty in Load-Carrying Structures

Article Preview

Abstract:

Today, a wide variety of methods to deal with uncertainty in load-carrying system exists. Thereby, uncertainty may result from not or only partially determined process properties. The present article proposes a classification of methods to control uncertainty in load-carrying systems from different disciplines within mechanical engineering. Therefore, several methods were collected, analysed and systematically classified concerning their characteristic into the proposed classification. First, the classification differs between degrees of uncertainty according to the model of uncertainty developed in the Collaborative Research Centre CRC 805. Second, the classification differs between the aim of the respective method to descriptive methods, evaluative methods or methods to design a system considering uncertainty. The classification should allow choosing appropriate methods during product and process development and thus to control uncertainty in a systematic and holistic approach.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

33-44

Citation:

Online since:

September 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Bertsche, B.; Lechner, G.: Zuverlässigkeit im Fahrzeug- und Maschinenbau – Reliability in Vehicle and Mechanical Engineering. Berlin, Heidelberg, New York: Springer, (2004).

Google Scholar

[2] Engelhardt, R., Koenen, J., Enss, G., Sichau, A., Platz, R., Kloberdanz, H., Birkhofer, H. and Hanselka, H.: A Model to Categorise Uncertainty in Load-Carrying Systems. In: Proceedings of MMEP Conference, Cambridge, July (2010).

Google Scholar

[3] Hanselka, H., Platz, R.: Ansätze und Maßnahmen zur Beherrschung von Unsicherheit in lasttragenden Systemen des Maschinenbaus – Controlling Uncertainties in Load Carrying Systems, Konstruktion, 6, p.55–62, Springer VDI-Verlag, (2010).

Google Scholar

[4] VDI 4001 Standard, General guide to the VDI-handbook reliability engineering VDI-standard, Beuth Verlag, Berlin, Wien, Zürich, (1985)-10.

Google Scholar

[5] Birkhofer, H.: There Is Nothing As Practical As A Good Theory – An Attempt To Deal With The Gap Between Design Research And Design Practice. In: Proceedings of the International Design Conference, May (2004).

Google Scholar

[6] Haibach, Erwin: Betriebsfestigkeit: Verfahren und Daten zur Bauteilberechnung - Structural durability: Methods and data for components calculation, 3rd edition, Springer, (2006).

DOI: 10.1002/mawe.19910220709

Google Scholar

[7] Pahl, G., Beitz, W., Feldhusen, J., Grote, K.: Engineering Design - A Systematic Approach. Springer-Verlag, London, (2007).

Google Scholar

[8] Saltelli et al.: Global Sensitivity Analysis – a primer. Chichester: John Wiley & Sons Ltd, (2008).

Google Scholar

[10] Metropolis, N.; Ulam S.: The Monte Carlo Method. Journal of the American Statistical Association; Vol. 44, No. 247 (Sep., 1949), pp.335-341.

DOI: 10.1080/01621459.1949.10483310

Google Scholar

[11] Siebertz, K.; van Bebber, D.; Hochkirchen, T.: Statistische Versuchsplanung – Design of Experiments (DOE); Springer-Verlag, Berlin Heidelberg, (2010).

DOI: 10.1007/978-3-642-05493-8_4

Google Scholar

[12] Zabel, A.: Prozesssimulation in der Zerspanung – Modellierung von Dreh- und Fräsprozessen – Process Simulation in machining – Modeling Turning and Milling Processes, Habilitationsschrift TU Dortmund, Vulkan Verlag, Essen, (2010).

Google Scholar

[13] Schulz, H.; Emrich, A.K.: Using the Principle of Genetic Algorithm (GA) für the Optimization of the Chip Flute of Driling Tools, Production Engineering VIII (2), (2001).

Google Scholar

[14] Adams, D. E.: Health Monitoring of Structural Materials and Components, John Wiley & Sons Ltd., (2007).

Google Scholar

[15] T. Haag, J. Herrmann, M. Hanss: An identification procedure for epistemic uncertainties using inverse fuzzy arithmetic, In: Proceedings of ISMA Conference 2010, pp. 5261ff.

DOI: 10.1016/j.ymssp.2010.05.010

Google Scholar

[16] Kokkolaras, Mourelatos, Papalambros, Impact of uncertainty quantification on design: an engine optimisation case study, Int. journal of reliability and safety, Vol. 1, Nos. 1 / 2, (2006).

DOI: 10.1504/ijrs.2006.010786

Google Scholar

[17] Grantham Lough, K., Stone, R., Tumer, I.Y.: The risk in early design method. In: Journal of Engineering design, 20(2009)2, pp.155-173.

DOI: 10.1080/09544820701684271

Google Scholar

[18] VDI 2221: Methodik zum Entwickeln und Konstruieren technischer Systeme und Produkte – Methodology to Develop and Design Technical Systems and Products. Beuth-Verlag, Düsseldorf, (1993).

Google Scholar

[19] Mathias, J, Kloberdanz, H, Engelhardt, R., Birkhofer, H.: Integrated Product and Process Development based on Robust Design Methodology. In: ICED-International Conference on Engineering Design, 24. 08. 2009, Stanford, USA.

Google Scholar