20.500.12556/RUL-165992 Long-term continuous dynamic monitoring of an eight-story CLT building 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. 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. continuous dynamic monitoring cross-laminated timber environmental effects finite element model updating neprekinjeno dinamično spremljanje križno lepljeni les vplivi okolja posodabljanje modela končnih elementov true false true Angleški jezik Slovenski jezik Članek v reviji 2024-12-16 14:03:47 2024-12-16 14:03:52 2025-08-21 13:09:00 0000-00-00 00:00:00 2025 0 0 21 str. Vol. 224, art. 112094 Feb. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 519.62:624 1096-1216 10.1016/j.ymssp.2024.112094 219293699 Aloisio...-Long-term_continuous_dynamic_monitoring_of_an_eight-story_CLT_building.pdf Aloisio...-Long-term_continuous_dynamic_monitoring_of_an_eight-story_CLT_building.pdf 1 9938E3E33B3B619137625FE46B053C5E e0211388f20bbac2732b9363590f5a7eb0fae227329fe2308c172b9eaea31505 cb6058e7-bbad-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=197337 https://www.sciencedirect.com/science/article/pii/S0888327024009920 1 ab0a7fb9-bbad-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=197336 Fakulteta za gradbeništvo in geodezijo 0 0 0