Time-series modeling of moisture exposure on timber structures

Research output: Contribution to journalArticle

Standard

Time-series modeling of moisture exposure on timber structures. / Häglund, Martin; Isaksson, Tord; Holst, Jan.

In: Building and Environment, Vol. 42, No. 3, 2007, p. 1515-1521.

Research output: Contribution to journalArticle

Harvard

APA

CBE

MLA

Vancouver

Author

Häglund, Martin ; Isaksson, Tord ; Holst, Jan. / Time-series modeling of moisture exposure on timber structures. In: Building and Environment. 2007 ; Vol. 42, No. 3. pp. 1515-1521.

RIS

TY - JOUR

T1 - Time-series modeling of moisture exposure on timber structures

AU - Häglund, Martin

AU - Isaksson, Tord

AU - Holst, Jan

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - structures

KW - timber

KW - time-series modeling

KW - moisture exposure

KW - stochastic process

KW - temperature

KW - relative humidity

U2 - 10.1016/j.buildenv.2005.12.025

DO - 10.1016/j.buildenv.2005.12.025

M3 - Article

VL - 42

SP - 1515

EP - 1521

JO - Building and Environment

JF - Building and Environment

SN - 1873-684X

IS - 3

ER -