• Scopus
  • Chinese Science Citation Database (CSCD)
  • A Guide to the Core Journal of China
  • CSTPCD
  • F5000 Frontrunner
  • RCCSE
Advanced search
Mei Shiyi, Li Yu, Li Shishuai, Zhu Yining, He Jinchun, Meng Xinmiao, Gao Ying. Field study of the hygrothermal performance of multi-storey light wood-framed walls in cold zones[J]. Journal of Beijing Forestry University, 2022, 44(6): 135-145. DOI: 10.12171/j.1000-1522.20210407
Citation: Mei Shiyi, Li Yu, Li Shishuai, Zhu Yining, He Jinchun, Meng Xinmiao, Gao Ying. Field study of the hygrothermal performance of multi-storey light wood-framed walls in cold zones[J]. Journal of Beijing Forestry University, 2022, 44(6): 135-145. DOI: 10.12171/j.1000-1522.20210407

Field study of the hygrothermal performance of multi-storey light wood-framed walls in cold zones

More Information
  • Received Date: October 14, 2021
  • Revised Date: April 06, 2022
  • Accepted Date: April 10, 2022
  • Available Online: April 17, 2022
  • Published Date: June 24, 2022
  •   Objective  The exterior wall is the main enclosure structure of light wood-framed buildings. Its hygrothermal performance has a great impact on the durability, safety, comfort and energy consumption of buildings. In order to explore the influence of outdoor environment, wall orientation, floor height and other factors on the hygrothermal performance of multi-storey light wood-framed walls in cold zone, this study conducted an experimental study on the hygrothermal performance of light wood-framed walls in a multi-storey mixed structure building in Tianjin of northern China.
      Method  The study conducted a field monitoring investigation of multi-storey light wood-framed walls of a hybrid building in Tianjin from Jan. 1st to Dec. 31st, 2020. Temperature and relative humidity of the stud cavity in the test walls, moisture content of wood studs, et al were monitored continuously. The influences of outdoor temperature and humidity, wall orientation and floor height on hygrothermal performance of the wall were analyzed, and the condensation risk and mold growth risk inside the wall were assessed.
      Result  The trends of temperature and relative humidity of the stud cavity were approximately consistent with that of the outdoor environment. The trends of moisture content of wood studs were approximately consistent with the equilibrium moisture content of the stud cavity. While the amplitudes of the temperature and relative humidity of the stud cavity and the moisture content of wood studs were smaller than that of the outdoor environment. Relative humidity of the stud cavity and moisture content of wood studs increased with a time lag under heavy precipitation in a short term. Solar radiation on walls varied with orientations, resulting in the temperature difference. Temperature of the stud cavity in the southern wall was the highest, followed by that of the western, eastern and northern walls, while the distribution of relative humidity was opposite. The relative humidity of the stud cavity in the northern wall was the highest, followed by that of the eastern, western and southern wall. It was shown that the moisture content of wood studs in the western wall was the highest due to the high initial moisture content, followed by that of the northern, eastern and southern wall. Except for the western wall, the distribution of the moisture content of wood studs was roughly consistent with that of relative humidity. Relative humidity and moisture content of the stud cavity on the 1st floor were generally higher with larger amplitudes than the other floors. And its temperature was relatively lower. From May to August, the temperature of walls in the 4th floor was the highest, followed by that of the 3rd and 2nd floor. The relative humidity and moisture content in walls of the 2nd floor were highest, followed by that of the 3rd and 4th floor.
      Conclusion  Temperature and relative humidity of the stud cavity and moisture content of wood studs are directly affected by the outdoor climate conditions, while the hygrothermal conditions in the wall keep relatively stable. The outdoor vapor permeation is effectively retarded by the well-designed light wood-framed wall in cold zones. The cavities of multi-storey light wood-framed walls have no risk of condensation or mold growth in 2020.
  • [1]
    杨秀, 张声远, 齐晔, 等. 建筑节能设计标准与节能量估算[J]. 城市发展研究, 2011, 18(10): 7−13. doi: 10.3969/j.issn.1006-3862.2011.10.002

    Yang X, Zhang S Y, Qi Y, et al. China’s design standards for energy efficiency and estimation of building energy savings[J]. Urban Development Studies, 2011, 18(10): 7−13. doi: 10.3969/j.issn.1006-3862.2011.10.002
    [2]
    于水, 王伟, 郑淑, 等. 严寒地区居民建筑室内微生物滋生状况研究分析[J]. 沈阳建筑大学学报(自然科学版), 2017, 33(4): 751−758.

    Yu S, Wang W, Zheng S, et al. Experimental analysis based on the mold harming in northeast residential building[J]. Journal of Shenyang Jianzhu University (Natural Science), 2017, 33(4): 751−758.
    [3]
    Wang L, Ge H. Effect of air leakage on the hygrothermal performance of highly insulated wood frame walls: comparison of air leakage modelling methods[J]. Building and Environment, 2017, 123: 363−377. doi: 10.1016/j.buildenv.2017.07.012
    [4]
    Wang L, Ge H. Effect of rain leakage on hygrothermal performance of highly insulated wood-framed walls: a stochastic approach[J]. Canadian Journal of Civil Engineering, 2019, 46(11): 979−989. doi: 10.1139/cjce-2019-0223
    [5]
    胡家航, 姬晓迪, 李凤龙, 等. 井干式木结构墙体产品物化环境影响评价[J]. 北京林业大学学报, 2017, 39(6): 116−122.

    Hu J H, Ji X D, Li F L, et al. Assessment of embodied environmental impact on log wooden wall member[J]. Journal of Beijing Forestry University, 2017, 39(6): 116−122.
    [6]
    张时聪, 杨芯岩, 徐伟. 现代木结构建筑全寿命期碳排放计算研究[J]. 建设科技, 2019(18): 45−48.

    Zhang S C, Yang X Y, Xu W. Study on life cycle carbon emission of modern wood building[J]. Construction Science and Technology, 2019(18): 45−48.
    [7]
    何敏娟, 何桂荣, 梁峰, 等. 中国木结构近20年发展历程[J]. 建筑结构, 2019, 49(19): 83−90.

    He M J, He G R, Liang F, et al. Development of timber structures in China during recent twenty years[J]. Building Structure, 2019, 49(19): 83−90.
    [8]
    Kočí V, Jerman M, Pavlík Z, et al. Interior thermal insulation systems based on wood fiberboards: experimental analysis and computational assessment of hygrothermal and energy performance in the Central European climate[J]. Energy and Buildings, 2020, 222: 110093. doi: 10.1016/j.enbuild.2020.110093
    [9]
    Huang Z, Sun Y. Hygrothermal performance comparison study on bamboo and timber construction in Asia-Pacific bamboo areas[J]. Construction and Building Materials, 2021, 271: 121602. doi: 10.1016/j.conbuildmat.2020.121602
    [10]
    Zhan Q, Xiao Y, Musso F, et al. Assessing the hygrothermal performance of typical lightweight steel-framed wall assemblies in hot-humid climate regions by monitoring and numerical analysis[J]. Building and Environment, 2021, 188: 107512. doi: 10.1016/j.buildenv.2020.107512
    [11]
    何金春, 高颖, 袁廷阁, 等. 墙骨柱对轻型木结构墙体保温性能的影响[J]. 中国科技论文, 2020, 15(8): 881−884. doi: 10.3969/j.issn.2095-2783.2020.08.006

    He J C, Gao Y, Yuan T G, et al. Effect of studs on the thermal insulation performance of light-weight wooden structure wall[J]. China Sciencepaper, 2020, 15(8): 881−884. doi: 10.3969/j.issn.2095-2783.2020.08.006
    [12]
    Wang L, Ge H. Stochastic modelling of hygrothermal performance of highly insulated wood framed walls[J]. Building and Environment, 2018, 146: 12−28. doi: 10.1016/j.buildenv.2018.09.032
    [13]
    饶鑫, 杨静, 王正, 等. 2组轻型木结构建筑外墙热湿耦合性能模拟分析[J]. 西南林业大学学报(自然科学), 2021, 41(4): 119−128.

    Rao X, Yang J, Wang Z, et al. Simulation analysis of thermal and humidity coupling performance of 2 groups of timber-framed structure buildings[J]. Journal of Southwest Forestry University (Natural Sciences), 2021, 41(4): 119−128.
    [14]
    Lee J, Wi S, Chang S J, et al. Prediction evaluating of moisture problems in light-weight wood structure: perspectives on regional climates and building materials[J]. Building and Environment, 2020, 168: 106521. doi: 10.1016/j.buildenv.2019.106521
    [15]
    中华人民共和国住房和城乡建设部, 木结构设计标准: GB 50005—2017 [S]. 北京: 中国建筑工业出版社, 2017.

    Ministry of Housing and Urban-Rural Development. Standard for design of timber structures: GB 5005−2017 [S]. Beijing: China Architecture and Building Press, 2017.
    [16]
    林伟奇, 肖羽柏, 陈莉. 广州地区木材平衡含水率及吸湿滞后的研究[J]. 林业科学, 1993, 29(2): 139−144.

    Lin W Q, Xiao Y B, Chen L. Studies on the equilibrium moisture content and moisture absorption hysteresis of wood in Guangzhou region[J]. Scientia Silvae Sinicae, 1993, 29(2): 139−144.
    [17]
    王立雄, 党睿. 建筑节能[M]. 北京: 中国建筑工业出版社, 2015.

    Wang L X, Dang R. Building energy efficiency[M]. Beijing: China Architecture and Building Press, 2015.
    [18]
    Fedorik F, Malaska M, Hannila R, et al. Improving the thermal performance of concrete-sandwich envelopes in relation to the moisture behaviour of building structures in boreal conditions[J]. Energy and Buildings, 2015, 107: 226−233. doi: 10.1016/j.enbuild.2015.08.020
  • Cited by

    Periodical cited type(11)

    1. 高荧荧,王雯琦,符昌昊,许秀英. 基于UAV平台的农作物数据采集与处理方法研究. 现代化农业. 2025(02): 52-54 .
    2. 陈树新,刘炳杰,王海熠,苏勇,艾遒一,田昕. 结合可见光植被指数和分水岭算法的单木树冠信息提取. 遥感技术与应用. 2024(01): 34-44 .
    3. 钟磊,苏杰. 三维激光扫描技术在建筑物立面测绘中的精度分析. 科学技术创新. 2024(15): 131-134 .
    4. 赵亚凯,邓青春. 反距离加权插值参数对细沟DEM精度的影响. 西华师范大学学报(自然科学版). 2023(05): 496-504 .
    5. 莫嬃,易烜,边更战,陈书杭. 基于第一着枝角度的罗田垂枝杉树冠表面积预估模型研究. 湖南林业科技. 2023(06): 37-43+50 .
    6. 王玉堂,王佳,牛利伟,常书萍,孙露. 基于无人机倾斜摄影测量的树冠体积及表面积提取算法对比分析. 林业工程学报. 2022(03): 166-173 .
    7. 王补 ,谭伟 ,王贵林 ,蒲秀青 . 基于无人机多光谱影像的松材线虫病单木尺度监测. 林业资源管理. 2022(05): 107-117 .
    8. 杜意鸿,尹田,周雪梅,张晓丽. 倾斜摄影测量技术提取油松单木信息. 北京林业大学学报. 2021(04): 77-86 . 本站查看
    9. 宋晓鹏,张岩,王志强,邓家勇,王佳希. 无人机摄影测量提取黄土高原切沟参数精度分析. 北京师范大学学报(自然科学版). 2021(05): 606-612 .
    10. 杨全月,董泽宇,马振宇,吴悠,崔琪,卢昊. 基于SfM的针叶林无人机影像树冠分割算法. 农业机械学报. 2020(06): 181-190 .
    11. 冯正茂,陈桃红,苏玉峰,伍浩如. 倾斜摄影测量技术在纸浆厂木片资产管理中的应用. 中国造纸. 2020(06): 64-68 .

    Other cited types(8)

Catalog

    Article views (643) PDF downloads (51) Cited by(19)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return