Conceptual Reference Database for Building Envelope Research Prev
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Related Concept
  • building: simulation of building processes
  • fungi and molds in buildings and their envelopes
  • fungi: molds in buildings
  • computer codes for heat-air-moisture transfer
  • moisture control, moisture management



  • Related Articles
  • survival: anabiosis in mycology
  • conclusion about mold growth and models
  • Fungi - A concise Description
  • fungi: life cycle of
  • HAM: hygIRC
  • mold growth in TCCC2D: HAM: TCCC2D - Transient Coupled Convection and Concudtion in 2 Dimensions
  • used: HAM: WUFI-ORNL/IBP
  • mold spores - industrial hygienist perpective
  • molds

  • Concept:

    fungi: growth and growth model

    The prediction of the germination and growth potentials or rates of molds in buildings had been the target of several research projects and on the wish list of many others. These models are quite an achievement, considering the complexity of the biological or mycological mechanisms involved. The results of these models may currently be used to indicate the potentials or for comparisons. They are yet to be verified, and more data are needed for the variety of the building materials, and more mechanisms to be revealed and modeled..

    Mold index: 0 to 6

    The model is mostly developed for wood, but can be used to estimate the risks for mold growth risk on any material surface and it can be used as a moisture performance criterion together with moisture content levels of materials. Ojanen, T., 1998, Improving the drying efficiency of timber frame walls in cold climates, by using exterior insulation

    Mold growth model:

    A numerical model to calculated the model growth in building envelopes under indoor / outdoor conditions. Model is based on some measurements of mold growth under steady-state and alternating (e.g. 6 hour low rh and 12 hour high rh) conditions of temperature and relative humidity. For limited wood species and fungus species. It is the widely used as the base for mold damage predictions in many HAM models. Viitanen, H., 1996, Factors affecting the development of mould and decay in wooden material and wooden structures and other references.

    Mold germination model:

    The biohygrothermal model for spore germination is a truly genuine approach to model the germination process. The spore layer on material is consider as a hygroscope material layer. It will increase in moisture contents if placed in relative humidity conditions. The concepts of moisture transport are mapped for spore layer. Though much of the spore hygrothermal properties remain to be measured/estimated. Krus, M., Sedlbauer, K., Zillig, W. and Kunzel, H.M., 2001, A new model for mould prediction and its application on a test roof

    Limit condition model

    Data generated from literature (256 references) and testing. Concentrate on minimum conditions (RH, T) for mold growth. Distinguish among 6 categories of molds, according to levels of limit conditions. Clarke et al. 1998, A technique for the prediction of the conditions leading to mould growth in buildings

    HAM integrated model:

    The mold growth model had been integrated into the HAM code to simulate the mold occurrence or risk in design stage. Most cases of integration is to add mold growth as kind of post-processing - using the T and RH solution profiles to calculate the mold growth values/rates. Since there are insufficient data on the growth rates of molds for different species and for various conditions, The calculated rates are not claimed as the predicted rates of the mold growth. Rather, the calculated results are used as indicator for the potential that mold may grow for the wall under study and conditions used in the simulation. Example: Clarke, J. A., Johnstone, C. M., Kelly, N. J., Mclean, R. C. and Nakhi, A. E., 1997, Development of a simulation tool for mould growth prediction in buildings into ESP-r. Karagiozis, 2002, A North American research approach to moisture design by modeling for HAM: WUFI-ORNL/IBP.

    A particular case of the integration is one developed be Sedlbauer. He model to implement mold growth/germination using one hypothetic layer in the wall assembly, that layer behavor mostly like a hygroscopic material except the parameters are related to molds and concentration/potentials are mold growth/germination. Initially, this method is thought as a convenient way for the author to implement the mathematical model he obtained from experimental data on mold growth. However, the idea of a mold layers (or substrates) on the surfaces of material layers seems to stand out and be easier to accept on its own. See references Sedlbauer, 2002, Prediction of mould fungus formation on the surface of and inside building components. ,, Sedlbauer, 2002, Prediction of mould growth by hygrothermal calculation and Krus, M., Sedlbauer, K., Zillig, W. and Kunzel, H.M., 2001, A new model for mould prediction and its application on a test roof,, and Rowan et al., 1999, Prediction of toxigenic fungal growth in buildings by using a novel modelling system

    Subtrate Classes

    SedlBauer divided substrate to four groups. Growth data needed for each substrate. Sedlbauer, K., 2002, Prediction of mould growth by hygrothermal calculation




    Tidbits

    :

    This link was checked on Dec. 2006A presentation of the German model.




    Web Links (1): Notes
      This link was checked on Dec. 2006Mold: The Whole Picture - Abbey Newsletter
      A 4 series of articles on mold by Ellen McCrady: The Whole Picture Pt. 1; Pt. 2, Assessment of Mold Problems; Pt. 3, A Neglected Public Health Problem; Part 4: Effect of Mold on Schools, Homes, & Human Beings

    Related References (43)
    a comprehensive model at VTT
    A mathematical model of mold growth on wooden material, by Hukka, A. and Viitanen H., 1999
    germination model, biohygrothermal model
    A new model for mould prediction and its application on a test roof, by Krus, M., Sedlbauer, K., Zillig, W. and Kunzel, H.M, 2001
    non-steady state
    A new model for mould prediction and its application on dwellings with mould on the outer facades, by Sedlbauer, K., Krus, M. and Zillig, W., 2002
    --------
    A North American research approach to moisture design by modeling, by Karagiozis, A., 2002
    conditions leading to mould growth
    A technique for the prediction of the conditions leading to mould growth in buildings, by Clarke, J. A., C. M. Johnstone, N. J. Kelly, R. C. McLean, J. A. Anderson, N. J. Rowan, and J. E. Smith, 1999
    by mycologist, at optimal T
    A temperature-type model for describing the relationship between fungal growth and water activity, by Sautour, M., Dantigny, P., Divies, C., Bensoussan, M., 2001
    effect of temperature and humidity
    Combined effect of temperature and humidity of the detoriation process of insulation materials in ETICS, by Holm, A. and Kščnzel, H.M, 1999
    anti-fungal paints
    Control of mould growth by anti-fungal paints, by Heaton, P.E., Callow, M.E., Butler, G.M. and Milne, A., 1991
    collection of models and analysis
    Criteria for moisture control, by Brundrett, G. W., 1990
    --------
    D6329-98 standard guide for developing methodology for evaluating the ability of indoor materials to support microbial growth using static environmental chambers, by ASTM, 2002
    mold survival
    Decay of wood and wood-based products above ground in buildings, Mechanism of Brown-Rot Decay: Paradigm or Paradox, by Carll, C. G. and Highley, T. L., 1999
    logevity of spore
    Development of a model to predict the effect of temperature and moisture on fungal spore longevity, by Hong, T. D., Ellis, R. H. and Moore, D., 1997
    --------
    Development of a simulation tool for mould growth prediction in buildings, by Clarke, J. A., Johnstone, C. M., Kelly, N. J., Mclean, R. C. and Nakhi, A. E., 1997
    fungal damage model IRC
    Durability assessments of wood-frame construction using the concept of damage-functions, by Nofal, M. and M.K. Kumaran, 1999
    --------
    Environmental requirements for fungi, by Janinska, B., 2000
    --------
    Factors affecting mould growth on kiln dried wood, by Viitanen, H., 2001
    Viitanen thesis on mold growth
    Factors affecting the development of mould and decay in wooden material and wooden structures, by Viitanen, H., 1997
    --------
    Fungal growth and survival in building materials under fluctuating moisture and temperature conditions, by Pasanen, A. L., J. P. Kasanen, et al., 2000
    risk of mold growth on wooden structures in crawl spaces
    Fungal growth on wood surfaces at different moisture conditions in crawl spaces, by Pasanen, P.O. et al, 2001
    --------
    Growth of mold on fiberglass insulation materials--a review of the literature, by Van Loo, J. Robbins, C. Swenson, L. and Kelman, B., 2004
    under different humidities
    Growth of moulds on building materials under different humidities, by Nielsen, K. F., Nielsen, P. and Holm, G., 2000
    --------
    How quickly must gypsum board and ceiling tile be dried to preclude mold growth after a water accident?, by Horner, W. E., Morey, R. and Ligman, D. B. K., 2004
    humidity requirement
    Humidity requirements for mold growth, by Block, S. S., 1953
    use VTT mold model to predict
    Improving the drying efficiency of timber frame walls in cold climates, by using exterior insulation, by Ojanen, T., 1998
    --------
    Information and Technology Transfer from IBP: Mold Growth on ETICS (EIFS) as a Result of "Bad Workmanship"?, by Sedlbauer, K. and Krus, M., 2002
    growth and decay
    Modeling mould growth and decay damages, by Viitanen, H., Hanhijarvi, A., Hukka, A., Koskela, K., 2000
    implement growth by wall layer
    Mold growth prediction by computational simulation, by Sedlbauer, K., Krus, M., Zillig, W. and Kščnzel, H. M., 2001
    --------
    Numerical simulation of mould growth in timber frame walls, by Ojanen, T. and M. Salonvaara, 2000
    --------
    Occurrence and moisture requirements of microbial growth in building materials, by Pasanen, A.-L., Juutinen, T., Jantunen, M. J. and Kalliokoskia, P., 1992
    as biological damage function
    On implementing experimental biological damage-functions models in durability assessment systems, by Nofal, M. and M.K. Kumaran, 2000
    decay rate, preliminary study
    Predicting decay rates in structures: the effects of wood moisture content on decay rate, by Morrell, J. J., 2000
    --------
    Prediction of mould fungus formation on the surface of and inside building components, by Sedlbauer, K., 2002
    implement growth by wall layer
    Prediction of mould growth by hygrothermal calculation , by Sedlbauer, K., 2002
    growth limit curves of min T and RH, good references
    Prediction of toxigenic fungal growth in buildings by using a novel modelling system, by Rowan, N.J., Johnstone, C.M., McLean, R.C., Anderson, J.G. and Clarke, J.A., 1999
    --------
    Report of microbial growth task force, by AIHA, 2001
    homidity on mold growth
    Response of fungi to transient relative humidities, by Adan, O. C. G., 1995
    --------
    Static chamber method for evaluating the ability of indoor materials to support microbial growth, by Foarde, K. K., Vanosdell, D. W. and Chang, J. C. S., 1996
    use microcalorimetry to measure
    Studies of the degratation of building materials by isothermal microcalorimetry, by Wadso, L., 1996
    --------
    The moisture requirements of moulds isolated from domestic dwellings , by Grant, C., Hunter, C. A., Flannigan, B. and Bravery, A. F., 1989
    --------
    The relationship between measured moisture conditions and fungal concentrations in water-damaged building materials, by Pasanen, A. L., S. Rautiala, et al., 2000
    response
    The response of building materials to the mould exposure at different response conditions, by Ritschkoff, A., Viitanen, H., and Koskela, K., 2000
    of MVOC
    Volatile compounds originating from mixed microbial cultures on building materials under various humidity conditions, by Korpi, A. Pasanen,A.L. and P. Pasanen, 1998
    --------
    Wood in the built environment - conditions for mold and decay, by Anagnost, S. E., 2007



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