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Analysis Convergence Guidelines

  • Raphael Jean Boulbes
Chapter

Abstract

The introduction chapter has provided a main focus on the methodology to minimize the risk of troubleshooting during analysis. A quality mindset and philosophy have been also given as a recommended way of working and as a good practice to follow in order to conduct an analysis properly. In order to minimize the convergence issue that will be described inside this chapter, there are two important phases to keep in mind to perform analysis as milestones of the modeling process: first, the phase (2) shown in Fig.  1.1 and called the specification of work to define precisely what is the main analysis concern, and second, the phase (5) shown in Fig.  1.1, which is related to the inspections of input data gathered to start computing the model. This chapter now will explain some potential causes of troubleshooting in general. Some convergence issues in the model and some tools will be given to avoid or to fix some common problems during the solution processing.

Reference

  1. 1.
    Belytschko T, Ong JSJ, Liu WK, Kennedy JM (1984) Hourglass control in linear and nonlinear problems. Comput Methods Appl Mech Eng 43(3):251–276. http://www.sciencedirect.com/science/article/pii/0045782584900677. ISSN 0045-7825CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Raphael Jean Boulbes
    • 1
  1. 1.LyonFrance

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