A Novel Approach to Discovering Hygrothermal Transfer Patterns in Wooden Building Exterior Walls

Author:

Zhu Yurong1ORCID,Song Wei12ORCID,Wang Xiaohuan3ORCID,Rybarczyk Yves1ORCID,Nyberg Roger G.1ORCID,Fei Benhua4

Affiliation:

1. School of Information and Engineering, Dalarna University, 78189 Borlänge, Sweden

2. School of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang 330013, China

3. Research Institute of Wood Industry, Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Key Laboratory of Wood Science and Technology, National Forestry and Grassland Administration, Beijing 100091, China

4. Department of Biomaterials, International Center for Bamboo and Rattan, SFA and Beijing Co-Built Key Laboratory of Bamboo and Rattan Science & Technology, State Forestry Administration, Beijing 100102, China

Abstract

To maintain the life of building materials, it is critical to understand the hygrothermal transfer mechanisms (HTM) between the walls and the layers inside the walls. Due to the extreme instability of weather data, the actual data models of the HTM—the data being collected for actual buildings using modern sensor technologies—would appear to be a great difference from any theoretical models, in particular, for wood building materials. In this paper, we aim to consider a variety of data analysis tools for hygrothermal transfer features. A novel approach for peak and valley detection is proposed based on the discrete differentiation of the original data. Not to be limited to the measure of peak and valley delays for HTM, we propose a cross-correlation analysis to obtain the general delay between two daily time series, which seems to be representative of the delay in the daily time series. Furthermore, the seasonal pattern of the hygrothermal transfer combined with the correlation analysis reveals a reasonable relationship between the delays and the indoor and outdoor climates.

Funder

Fundamental Research Funds for the Central Non-profit Research Institution of CAF

Provincial Academy of Forestry of Fujian Province of China

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Reference22 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using Autoregressive Polynomial Regression Models to Study Moisture Content Dynamics in Wood;2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2024-04-25

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