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  • mathematics
  • simulation of building process



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    Concept:

    mathematics: Monte Carlo simulation method

    "It is an brut force approach to problems which have random variables and the solution can not be expressed analytically. "

    Monte Carlo method is widely used for parameter analyses. For example, to know the influence of a parameter, say vapor permeability of a wall layer, one obtain a number of results, say the total moisture accumulation. Each result is obtained by a randomly selected permeability. The selection is according to a probability density distribution (such as normal or uniform). The distribution of the results is the influence by the parameter variation.
    Related References
    steps in simulation
    A systematic method for hygrothermal analysis of building constructions using computer models, by Geving, S., 1997
    material properties, risk of mold
    A systematic method for hygrothermal analysis of building constructions using computer models, by Geving, S., 1997
    stochastic model
    Convection in highly insulated building structures, by Okland, O., 1998
    simulation shell
    Crystall Ball for Windows, users manual, by TIA, 1992
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    Evaluation of measurement uncertainty in analytical assays by means of Monte-Carlo simulation, by Herrador, M. A. and Gonzalez, A. G., 2004
    service life estimation
    Methods for designing building envelope components prepared for repair and maintenance, by Rudbeck, C., 1999
    Monte Carlo used to obtain uncertain in test results
    Particle penetration through windows, by Liu, D. and Nazaroff, W.W., 2002
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    Practical application of an uncertainty approach for hygrothermal building simulations--drying of an AAC flat roof, by Holm, A.H. and Kuenzel, H.M, 2002
    thermal analysis, ESP-r
    Practical application of uncertainty analysis, by Macdonald, I. And Strachan, P., 2001
    of material properties (OSB), influence on performance
    Stochastic building envelope modeling -- the influence of material properties, by Salonvaara, M. Karagiozis, A., and Holm, A., 2001
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    Uncertainty of measurement by Monte-Carlo simulation and metrological reliability in the evaluation of electric variables of PEMFC and SOFC fuel cells, by Oliveira, S. P., Rocha, A. C., Filho, J. T. and Couto, P. R. G., 2009
    used it to calculate condensation risk
    Use of statistics for prediction of risk for condensation in a wall construction cold walls radiation technique: the case of quality of air, by Nielsen, A., 1995




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