Open Access
Issue
MATEC Web Conf.
Volume 107, 2017
Dynamics of Civil Engineering and Transport Structures and Wind Engineering – DYN-WIND’2017
Article Number 00085
Number of page(s) 8
DOI https://doi.org/10.1051/matecconf/201710700085
Published online 24 May 2017
  1. J.D. Spitler. Ground-source heat pump system research - Past, present, and future, HVAC&R Research, Vol: 11, 2, 165–167 (2005) [CrossRef] [Google Scholar]
  2. P. Marek, M. Guštar, T. Anagnos, Simulation-Based Reliability Assessment for Structural Engineers (CRC Press, Inc., Boca Raton, Florida, 1995) [Google Scholar]
  3. R.E. Melchers, Structural reliability analysis and prediction (2nd ed., John Wiley, Chichester, New York, 1999) [Google Scholar]
  4. P. Marek, J. Brozzetti, M. Guštar, P. Tikalsky (ed.), Probabilistic Assessment of Structures using Monte Carlo simulation. Basics, Exercises, Software, (2nd edition, CD ROM attached, ITAM Czech Academy of Sciences, Prague, 2003) [Google Scholar]
  5. M. Grigoriu, Simulation of non-Gaussian translation processes. J. Engng. Mech, ASCE, 124, 2, 121–6 (1998). [CrossRef] [Google Scholar]
  6. K.K. Phoon, S.T. Quek, H. Huang, Simulation of non-Gaussian processes using fractile correlation, Probabilist. Eng. Mech., 19, 287–292 (2004) [CrossRef] [Google Scholar]
  7. M. Vořechovský, D. Novák, Correlation control in small-sample Monte Carlo type simulations in a simulated annealing approach, Probabilist., Eng., Mech. 24, 3, 452–462 (2009) [CrossRef] [Google Scholar]
  8. P. Konečný, Correlation of Steel Yield Stress and Ultimate Strength – Monte Carlo Simulation via Non-Gaussian Random Variables, Mater. Sci. Forum. (to be published in 2018) [Google Scholar]
  9. M. Sýkora, Probabilistic Analysis of Time-Variant Structural Reliability (Doctoral thesis, CTU Prague, 2005) [Google Scholar]
  10. K.K. Phoon, S.P. Huang, S.T. Quek, Simulation of second-order processes using Karhunen - Loeve expansion, Comput. Struct., 80, 12, 1049–60 (2002) [CrossRef] [Google Scholar]
  11. N. Metropolis, S. Ulam, S. The Monte Carlo Method. Journal of American Statistical Association, 44, 247, 335–341 (1945) [CrossRef] [PubMed] [Google Scholar]
  12. H.J. Pradlwarter, G.I. Schuëller, Assessment of low probability events of dynamical systems by controlled Monte Carlo simulation, Probabilist. Eng. Mech. 14, 3, 213–227 (1999) [CrossRef] [Google Scholar]
  13. P. Konečný, J. Brožovský, P. Ghosh, Evaluation of Chloride Influence on the Cracking in Reinforced Concrete Using Korozeeneck Software, Transactions of the VŠB – Technical University of Ostrava, Civil Engineering Series, 11, 1, 1–7 (2011) [Google Scholar]
  14. P.S. Marsh, D.M. Frangopol, Reinforced concrete bridge deck reliability model incorporating temporal and spatial variations of probabilistic corrosion rate sensor data, Reliab. Eng. Syst. Saf., 93, 3, 394–409 (2008) [CrossRef] [Google Scholar]
  15. R.L. Iman, W.J. Conover, A Distribution-Free Approach to Inducing Rank Correlation among Input Variables. Communications in Statistics Part B-Simulation and Computation, 11, 3, 311–334 (1982) [CrossRef] [Google Scholar]
  16. Kralik A RSM Method for Probabilistic Nonlinear Analysis of Reinforced Concrete Bubbler Tower Structure Integrity. In: Proceedings of European Safety and Reliability Conference (ESREL), Reliability, Risk and Safety: Theory and Applications, 2010, 1-3, 1369–1372. Taylor & Francis (2009) [Google Scholar]
  17. M. Krejsa, P. Janas, R. Čajka, Using DOProC Method in Structural Reliability Assessment, Appl. Mech. Mater. 300-301, 860–869 (2013) [CrossRef] [Google Scholar]
  18. EnergyPlus Energy Simulation Software available on-line at: <http://apps1.eere.energy.gov/buildings/energyplus/> (2013) [Google Scholar]

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