Application of Machine Learning to Assist a Moisture Durability Tool

Application of Machine Learning to Assist a Moisture Durability Tool

The design of moisture-durable building enclosures is complicated by the number of materials, exposure conditions, and performance requirements. Hygrothermal simulations are used to assess moisture durability, but these require in-depth knowledge to be properly implemented. Machine learning (ML) off...

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Dettagli Bibliografici
Autori principali: Mikael Salonvaara, Andre Desjarlais, Antonio J. Aldykiewicz, Emishaw Iffa, Philip Boudreaux, Jin Dong, Boming Liu, Gina Accawi, Diana Hun, Eric Werling, Sven Mumme
Natura: Articolo
Lingua:English
Pubblicazione: MDPI AG 2023-02-01
Serie:Energies
Soggetti:
building envelope
moisture
durability
design
machine learning
optimization
Accesso online:https://www.mdpi.com/1996-1073/16/4/2033

Accesso online

https://www.mdpi.com/1996-1073/16/4/2033

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