Timber Wall 목재 벽

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Massive Timber Wall 10.3390/BUILDINGS11050188

거대한 목재 벽

The objective of this study was to explore the potential of a machine learning algorithm, the Support Vector Machine Regression (SVR), to forecast long-term hygrothermal responses and the moisture performance of light wood frame and massive timber walls.

이 연구의 목적은 기계 학습 알고리즘인 SVR(Support Vector Machine Regression)의 잠재력을 탐구하여 가벼운 목재 프레임과 거대한 목재 벽의 장기적인 습도 반응과 수분 성능을 예측하는 것입니다.

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Massive Timber Wall 10.3390/BUILDINGS11020035

거대한 목재 벽

The objective of this study was to assess the potential effects of climate change on the moisture performance and durability of massive timber walls on the basis of results derived from hygrothermal simulations.

이 연구의 목적은 습도 시뮬레이션에서 파생된 결과를 기반으로 거대한 목재 벽의 수분 성능과 내구성에 대한 기후 변화의 잠재적 영향을 평가하는 것이었습니다.

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10.1016/J.ENGSTRUCT.2018.11.046

Digital Image Correlation (DIC) was used in order to determine and track local displacement and shear-strain fields of hemp concrete as infill material in the timber wall.

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10.26168/ICBBM2019.42

These two types of timber walls are most widely used in construction subjected to lateral loads.

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Timber Wall 목재 벽

Encyclopedia 백과사전

Mar 23, 2023

Timber Wall(목재 벽)란 무엇입니까?

Timber Wall 목재 벽 - Digital Image Correlation (DIC) was used in order to determine and track local displacement and shear-strain fields of hemp concrete as infill material in the timber wall. ^[1] These two types of timber walls are most widely used in construction subjected to lateral loads. ^[2]

Massive Timber Wall 거대한 목재 벽

The objective of this study was to explore the potential of a machine learning algorithm, the Support Vector Machine Regression (SVR), to forecast long-term hygrothermal responses and the moisture performance of light wood frame and massive timber walls. ^[1] The objective of this study was to assess the potential effects of climate change on the moisture performance and durability of massive timber walls on the basis of results derived from hygrothermal simulations. ^[2]
이 연구의 목적은 기계 학습 알고리즘인 SVR(Support Vector Machine Regression)의 잠재력을 탐구하여 가벼운 목재 프레임과 거대한 목재 벽의 장기적인 습도 반응과 수분 성능을 예측하는 것입니다. ^[1] 이 연구의 목적은 습도 시뮬레이션에서 파생된 결과를 기반으로 거대한 목재 벽의 수분 성능과 내구성에 대한 기후 변화의 잠재적 영향을 평가하는 것이었습니다. ^[2]