4.7 Article

Probabilistic expression of the function of the change in prestressing force of timber elements depending on climatic conditions in situ

期刊

CONSTRUCTION AND BUILDING MATERIALS
卷 377, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2023.130955

关键词

Timber; Prestress; Temperature; Moisture; Principal component analysis method; Principal component regression; Cross validation method

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The demand for sustainability requires the use of renewable materials in construction. Applying transverse prestress in timber structures can increase stiffness and load-bearing capacity. However, the prestressing force and system rectification depend on the specific environmental conditions of the construction site. Climatic conditions significantly affect the size of the prestressing force. Experimental samples were used to introduce transverse prestress, and the prestressing force and climatic conditions were monitored and recorded. Mathematical models were created and evaluated using experimental data, allowing for the determination of changes in prestressing force over time based on climatic conditions. This function enables the manual adjustment of preload in structures when necessary for their intended purpose.
Today demand for sustainability forces us to use an ever-increasing share of renewable materials in construction and the associated increase in their mechanical resistance is related to this. The application of transverse prestress in timber structures will increase the overall stiffness and load-bearing capacity of the structural system. However, the prestressing force and subsequent rectification of the system depends on the relative environmental conditions for the specific location of the construction site. The climatic conditions have a significant impact on changes in the size of the prestressing force. Into the experimental sample, transverse prestressed was introduced by means of prestressing elements. The values of prestressing force and climatic conditions to which the sample was exposed were monitored and recorded. Based on experimentally obtained data, mathematical models were created and evaluated using methods such as principal component method and cross-validation method. The result of the analysis is the function for determining changes in the size of the prestressing force over time depending on the climatic conditions. Using this function, it is possible to determine the time when it is necessary to manually increase the amount of preload in the structure so that it correctly fulfils the purpose for which it was designed.

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