Advanced

Time-series modeling of moisture exposure on timber structures

Häglund, Martin LU ; Isaksson, Tord LU and Holst, Jan LU (2007) In Building and Environment 42(3). p.1515-1521
Abstract
This paper presents a methodology with the purpose of modeling and simulating outdoor temperature and relative humidity (vapor concentration) related to moisture exposure on timber structures. The methodology is based on time-series analysis with recorded meteorological data used as input. In situations where recorded data is missing or consists of limited sequences, this methodology offers the possibility to use synthetic data instead. It was found that temperature and vapor concentration could be modeled by a combination of deterministic functions and stochastic processes, which consider the dynamics of the climate, including slow seasonal variations and fast daily changes. Specifically, a model for temperature and vapor concentration in... (More)
This paper presents a methodology with the purpose of modeling and simulating outdoor temperature and relative humidity (vapor concentration) related to moisture exposure on timber structures. The methodology is based on time-series analysis with recorded meteorological data used as input. In situations where recorded data is missing or consists of limited sequences, this methodology offers the possibility to use synthetic data instead. It was found that temperature and vapor concentration could be modeled by a combination of deterministic functions and stochastic processes, which consider the dynamics of the climate, including slow seasonal variations and fast daily changes. Specifically, a model for temperature and vapor concentration in Stockholm, Sweden, is presented together with simulation results. It is shown that the model produces simulated sequences with statistical properties close to the real recorded ones. (c) 2006 Elsevier Ltd. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
structures, timber, time-series modeling, moisture exposure, stochastic process, temperature, relative humidity
in
Building and Environment
volume
42
issue
3
pages
1515 - 1521
publisher
Elsevier
external identifiers
  • wos:000243121000056
  • scopus:33751175204
ISSN
1873-684X
DOI
10.1016/j.buildenv.2005.12.025
language
English
LU publication?
yes
id
3022eb8c-f1ba-46e7-a8f1-6b514077c01e (old id 680330)
date added to LUP
2007-12-10 16:21:00
date last changed
2017-08-13 04:15:46
@article{3022eb8c-f1ba-46e7-a8f1-6b514077c01e,
  abstract     = {This paper presents a methodology with the purpose of modeling and simulating outdoor temperature and relative humidity (vapor concentration) related to moisture exposure on timber structures. The methodology is based on time-series analysis with recorded meteorological data used as input. In situations where recorded data is missing or consists of limited sequences, this methodology offers the possibility to use synthetic data instead. It was found that temperature and vapor concentration could be modeled by a combination of deterministic functions and stochastic processes, which consider the dynamics of the climate, including slow seasonal variations and fast daily changes. Specifically, a model for temperature and vapor concentration in Stockholm, Sweden, is presented together with simulation results. It is shown that the model produces simulated sequences with statistical properties close to the real recorded ones. (c) 2006 Elsevier Ltd. All rights reserved.},
  author       = {Häglund, Martin and Isaksson, Tord and Holst, Jan},
  issn         = {1873-684X},
  keyword      = {structures,timber,time-series modeling,moisture exposure,stochastic process,temperature,relative humidity},
  language     = {eng},
  number       = {3},
  pages        = {1515--1521},
  publisher    = {Elsevier},
  series       = {Building and Environment},
  title        = {Time-series modeling of moisture exposure on timber structures},
  url          = {http://dx.doi.org/10.1016/j.buildenv.2005.12.025},
  volume       = {42},
  year         = {2007},
}