Numerical hygro-thermal analysis of coated wooden bridge members exposed to Northern European climates

被引:38
作者
Fortino, Stefania [1 ]
Hradil, Petr [1 ]
Genoese, Andrea [2 ]
Genoese, Alessandra [2 ]
Pousette, Anna [3 ]
机构
[1] VTT Tech Res Ctr Finland Ltd, POB 1000, FI-02044 Espoo, Finland
[2] Univ Roma Tre, Dept Architecture, Via Madonna dei Monti 40, I-00184 Rome, Italy
[3] RISE Res Inst Sweden, Lab Grand 2, Skelleftea, Sweden
关键词
Timber bridges; Coatings; European climates; Moisture content; Multi-Fickian models; FEM; MOISTURE-INDUCED STRESSES; SORPTION HYSTERESIS; MASS-TRANSFER; TEMPERATURE DEPENDENCY; BUILDING ENCLOSURES; TIMBER MEMBERS; HEAT; MODEL; GRAIN;
D O I
10.1016/j.conbuildmat.2019.03.012
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This work presents a numerical model to analyse the hygro-thermal behaviour of wooden bridge members. A multi-Fickian hygro-thermal model, previously implemented by some of the authors, is extended by including the dependency of wood sorption on temperature above and below zero degrees Celsius to predict moisture, temperature and relative humidity in wood under Northern European climates. The performance of the model in the presence of protective paints is particularly investigated. The finite element analysis based on the proposed model simulates the hygro-thermal behaviour of a glue-laminated beam of Alsvbacka Bridge located in Skelleftea (North of Sweden). The beam, coated by paints and claddings, was monitored by using wireless sensors in a previous research. Comparisons with the available measurements reveal that the numerical model is able to predict the moisture content in locations sheltered from rain and sun with moisture levels below the fibre saturation point. A study of the influence of different protective paints shows that the maximum and minimum moisture content at various depths along horizontal paths of the beam cross section, as well as the moisture gradients in different seasonal periods, are strongly affected by the type of paint. The proposed numerical approach is a promising tool to facilitate sensor-based monitoring techniques and to optimize the choice of protective paints for improved performance of timber bridges and other wooden structures under variable climates. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:492 / 505
页数:14
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