Modelling of mould growth on pine sapwood: the preliminary analysis of input parameters in a logistic mould growth model

Author:

Kopecký Pavel,Staněk Kamil

Abstract

Abstract This paper deals with a logistic growth equation which was used for calculations of mould development on wood in time. The values of input parameters were determined by mutual comparisons of the logistic growth equation and synthetic mould growth data. Synthetic mould growth curves were calculated by the Finnish mould growth model for pine sapwood. A transition function between dimensionless mould index (the state variable of the Finnish mould growth model) and microscopic mould coverage fraction (the state variable of the logistic mould growth model) was proposed to facilitate numerical comparisons between both models. The insight to input parameters of the logistic mould growth model was then gained by plotting optimal values of parameters as a function of temperature and relative humidity, or moisture content. The setting of input parameters in mould growth models was then briefly discussed. It is concluded that further development of mould growth models should be based on systematic comparison with mould growth experiments. Not only growth under favourable conditions, but also the regrowth process after desiccation period must be correctly addressed in the model.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference18 articles.

1. Limit State Design for Biodeterioration - A New Paradigm for Management of Fungal Risks in Biobased Building Materials;Lepage,2021

2. Biodeterioration Models for Building Materials: Critical Review;Lepage;Journal of Architectural Engineering,2019

3. Review of mould prediction models and their influence on mould risk evaluation;Vereecken,2012

4. Towards a more thoughtful use of mould prediction models: A critical view on experimental mould growth research;Vereecken;Journal of Building Physics,2015

5. A mathematical model of mould growth on wooden material;Hukka,1999

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3