Long-term continuous dynamic monitoring of an eight-story CLT building

Aloisio, Angelo (author), Pasca, Dag (author), Kurent, Blaž (author), Tomasi, Roberto (author)

This paper presents the continuous monitoring of an eight-story cross-laminated timber (CLT) building. The monitoring process includes daily acceleration measurements at the rooftop, along with external temperature, humidity, and wind velocity data. Additionally, moisture content (MC) of timber at various locations in the internal and perimeter walls is measured. The extraction of modal parameters is automated and is based on the Stochastic Subspace Identification method. This research primarily evaluates how environmental factors, particularly temperature, wood MC, snow height, and wind velocity, affect the building’s modal parameters and vibrational response. The data has been found to significantly correlate with temperature, wood MC, and snow level. Subsequently, the authors performed a Bayesian model updating of the building to estimate the relationship between the shear modulus of CLT and the MC. This analysis has led to an empirical formula for predicting the stiffness properties of CLT walls based on wood MC derived from long-term monitoring of a timber building. To the authors’ knowledge, it is the first empirical expression relating a mechanical property of timber and MC, indirectly estimated from ambient vibration data.

• Language: English
• Keywords: continuous dynamic monitoring, cross-laminated timber, environmental effects, finite element model updating
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FGG - Faculty of Civil and Geodetic Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2025
• Number of pages: 21 str.
• Numbering: Vol. 224, art. 112094
• PID: 20.500.12556/RUL-165992
• UDC: 519.62:624
• ISSN on article: 1096-1216
• DOI: 10.1016/j.ymssp.2024.112094
• COBISS.SI-ID: 219293699
• Publication date in RUL: 16.12.2024

Record is a part of a journal

• Title: Mechanical systems and signal processing
• Shortened title: Mech. syst. signal process.
• Publisher: Elsevier
• ISSN: 1096-1216
• COBISS.SI-ID: 15296283

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian

Abstract

V tem prispevku je predstavljeno neprekinjeno spremljanje osemnadstropne stavbe iz križno lepljenega lesa (CLT). Postopek spremljanja vključuje dnevne meritve pospeška na strehi ter podatke o zunanji temperaturi, vlažnosti in hitrosti vetra. Poleg tega se meri vsebnost vlage (MC) v lesu na različnih mestih v notranjih in obodnih stenah. Identificiranje modalnih parametrov je avtomatizirano in temelji na metodi stohastične identifikacije podprostora (SSI). Ta raziskava predvsem ocenjuje, kako okoljski dejavniki, zlasti temperatura, MC lesa, višina snega in hitrost vetra, vplivajo na modalne parametre in vibracijski odziv stavbe. Ugotovljeno je bilo, da so podatki pomembno povezani s temperaturo, MC lesa in višino snega. Nato so avtorji izvedli posodobitev Bayesovega modela stavbe, da bi ocenili povezavo med strižnim modulom CLT in MC. Ta analiza je privedla do empirične formule za napovedovanje togostnih lastnosti sten CLT na podlagi MC lesa, ki izhaja iz dolgoročnega spremljanja lesene stavbe. Po vedenju avtorjev je to prvi empirični izraz, ki se nanaša na mehansko lastnost lesa in MC, posredno ocenjen na podlagi podatkov o vibracijah okolja.

• Keywords: neprekinjeno dinamično spremljanje, križno lepljeni les, vplivi okolja, posodabljanje modela končnih elementov