Set of regression tests: examples

This set of Regression Tests aims to be slightly more practical orientated than the test-set.

Execute a single test from the set

First of all you have to change into the test directory of flx_testing.

Thereafter you can execute the script test.sh:

Terminal

bash test.sh PATH_TO_THE_FESSLIX_EXECUTABLE ../examples/NAME_OF_TEST /tmp/fesslix_tests/ example YES_OR_NO_FOR_LEAK_CHECK


e.g.:

Terminal

bash test.sh ../build/src/fesslix ../examples/fem_PSbeam /tmp/fesslix_tests/ example no


Tests in this set

  • bayup_beam:
    Bayesian updating: based on observations, the Young's modulus of a beam is updated
  • bayup_beam2:
    Bayesian updating: based on observations, the Young's modulus of a beam is updated. The observations were generated by a different model.
  • bayup_skilling_sphere:
    Bayesian updating: solves the simple example published in: Skilling (2006)
  • bayup_straub2013:
    Bayesian updating: solves the example published in: Straub and Papaioannou (2013)
  • bayup_straub2013_octave:
    Bayesian updating: solves the example published in: Straub and Papaioannou (2013). The likelihood function is defined by means of an Octave-function.
  • beam_FORM:
    FORM is applied to solve a reliability problem. The structural model is: a single-span beam. The limit-state function is formulated analytically.
  • binaryRF:
    This example demonstrates how model binary random fields
  • binaryRV:
    This example demonstrates how model binary random variables
  • dyna_sdof:
    This example illustrates how the dyna-library is used.
  • fc_rf:
    demonstrates how to use finite cells (plane stress)
  • fem_Bbeam:
    demonstrates how to use fem
  • fem_PSbeam:
    demonstrates how to use elplanestr and fem
  • fem_random:
    demonstrates how to use RVs and RFs in a FEM problem
  • funplot_reliability_index:
    demonstrates how to use funplot
  • mci_rf:
    This example demonstrates how to use random fields (in a material)
  • mci_truss:
    This example demonstrates how to use MCI in combination with 'fem'.
  • rnd_ips:
    demonstrates how to use ips
  • sfem_rf:
    This example demonstrates how to use random fields in the SSFEM module.
  • sfem_truss:
    This example demonstrates how to use the SSFEM module.
  • ssfc:
    This example demonstrates how to use the SSFE method in combination with finite cells.
  • subsetsimulation:
    Subset simulation is applied to estimate the probability of failure of an analytically definied limit-state function.

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