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  • This paper deals with the use of probabilistic methods in the reliability assessment of water vapor condensation on the building structures surface. To calculate the resulting probability of failure it was used original and newly developed Direct Optimized Probabilistic Calculation – DOProC method, which has been successfully applied in the software system ProbCalc. To solve this probabilistic computation tasks, this would appear to be very effective and accurate. When calculating the resulting probability of failure there was also taken into account the statistical dependence of the random input variables, which were expressed probabilistically based on long-term monitoring of the assessed building.
  • This paper deals with the use of probabilistic methods in the reliability assessment of water vapor condensation on the building structures surface. To calculate the resulting probability of failure it was used original and newly developed Direct Optimized Probabilistic Calculation – DOProC method, which has been successfully applied in the software system ProbCalc. To solve this probabilistic computation tasks, this would appear to be very effective and accurate. When calculating the resulting probability of failure there was also taken into account the statistical dependence of the random input variables, which were expressed probabilistically based on long-term monitoring of the assessed building. (en)
Title
  • Surface Condensation Assessment Using Probabilistic Calculation
  • Surface Condensation Assessment Using Probabilistic Calculation (en)
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  • Surface Condensation Assessment Using Probabilistic Calculation
  • Surface Condensation Assessment Using Probabilistic Calculation (en)
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  • RIV/61989100:27120/14:86090858!RIV15-MSM-27120___
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  • 48627
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  • RIV/61989100:27120/14:86090858
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  • ProbCalc software; DOProC method; Direct Optimized Probabilistic Calculation; reliability function; Probability; Vapor condensation; Mold; Temperature factor at the internal surface (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E05769D1D1ED]
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  • Wuhan
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  • Zürich
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  • Advanced Materials Research
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  • Krejsa, Martin
  • Zdražilová, Naďa
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issn
  • 1022-6680
number of pages
http://bibframe.org/vocab/doi
  • 10.4028/www.scientific.net/AMR.1083.131
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  • Trans Tech Publication Ltd
http://localhost/t...ganizacniJednotka
  • 27120
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