FERUM

FERUM; Finite Element Reliability Using Matlab. With time FERUM has grown to also serve as a test-bed for development and visualization of new methods and solution strategies in structural reliability and for implementation of these methods in larger codes, such as OpenSees. An open-source development strategy has been used, welcoming other researchers to connect to, make use of the program and contribute to it. This has proved successful. Significant contributions have been provided by others (see the program overview and table of contributors). FERUM is now well known in the structural reliability community and is used in many universities as a teaching and research tool.


References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Manfredi, Paolo; De Zutter, Daniël; Vande Ginste, Dries: On the relationship between the stochastic Galerkin method and the pseudo-spectral collocation method for linear differential algebraic equations (2018)
  2. Appalanaidu, Y.; Roy, Anindya; Gupta, Sayan: 3-D stochastic finite elements for thermal creep analysis of piping structures with spatial material inhomogeneities (2017)
  3. Bect, Julien; Li, Ling; Vazquez, Emmanuel: Bayesian subset simulation (2017)
  4. Arregui-Mena, José David; Margetts, Lee; Mummery, Paul M.: Practical application of the stochastic finite element method (2016)
  5. Raisee, M.; Kumar, D.; Lacor, C.: A non-intrusive model reduction approach for polynomial chaos expansion using proper orthogonal decomposition (2015)
  6. Sasikumar, P.; Suresh, R.; Gupta, Sayan: Stochastic finite element analysis of layered composite beams with spatially varying non-Gaussian inhomogeneities (2014)
  7. Celorrio Barragué, Luis: Development of a reliability-based design optimization toolbox for the FERUM software (2012) ioport
  8. Proppe, Carsten: Multiresolution analysis for stochastic finite element problems with wavelet-based Karhunen-Loève expansion (2012)
  9. Blatman, Géraud; Sudret, Bruno: Adaptive sparse polynomial chaos expansion based on least angle regression (2011)
  10. Dubourg, Vincent; Sudret, Bruno; Bourinet, Jean-Marc: Reliability-based design optimization using Kriging surrogates and subset simulation (2011) ioport
  11. Hu, Chao; Youn, Byeng D.: Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems (2011)
  12. Panayirci, H. M.; Schuëller, G. I.: On the capabilities of the polynomial chaos expansion method within SFE analysis -- an overview (2011)
  13. Proppe, C.: A stochastic finite-element method for transformed normal random parameter fields (2011)
  14. Cho, Sung Eun; Park, Hyung Choon: Effect of spatial variability of cross-correlated soil properties on bearing capacity of strip footing (2010)
  15. Gu, Quan; Conte, Joel P.; Elgamal, Ahmed; Yang, Zhaohui: Finite element response sensitivity analysis of multi-yield-surface $J_2$ plasticity model by direct differentiation method (2009)
  16. Stefanou, George: The stochastic finite element method: past, present and future (2009)
  17. Chen, Nian Zhong; Soares, C. Guedes: Spectral stochastic finite element analysis for laminated composite plates (2008)
  18. Sachdeva, Sachin K.; Nair, Prasanth B.; Keane, Andy J.: Comparative study of projection schemes for stochastic finite element analysis (2006)
  19. Sudret, Bruno; Berveiller, Marc; Lemaire, Maurice: A stochastic finite element procedure for moment and reliability analysis (2006)