Skip header and navigation

2 records – page 1 of 1.

Artificial Neural Network for Assessment of Energy Consumption and Cost for Cross Laminated Timber Office Building in Severe Cold Regions

https://research.thinkwood.com/en/permalink/catalogue1206
Year of Publication
2018
Topic
Energy Performance
Cost
Material
CLT (Cross-Laminated Timber)
Application
Wood Building Systems
Author
Dong, Qi
Xing, Kai
Zhang, Hongrui
Publisher
MDPI
Year of Publication
2018
Format
Journal Article
Material
CLT (Cross-Laminated Timber)
Application
Wood Building Systems
Topic
Energy Performance
Cost
Keywords
Energy Consumption
Office Buildings
Severe Cold Regions
Artificial Neural Network
Research Status
Complete
Series
Sustainability
Summary
This paper aims to develop an artificial neural network (ANN) to predict the energy consumption and cost of cross laminated timber (CLT) office buildings in severe cold regions during the early stage of architectural design. Eleven variables were selected as input variables including building form and construction variables, and the values of input variables were determined by local building standards and surveys. ANNs were trained by the simulation data and Latin hypercube sampling (LHS) method was used to select training datasets for the ANN training. The best ANN was obtained by analyzing the output variables and the number of hidden layer neurons. The results showed that the ANN with multiple outputs presented better prediction performance than the ANN with single output. Moreover, the number of hidden layer neurons in ANN should be greater than five and preferably 10, and the best mean square error (MSE) value was 1.957 × 103. In addition, it was found that the time of predicting building energy consumption and cost by ANN was 80% shorter than that of traditional building energy consumption simulation and cost calculation method
Online Access
Free
Resource Link
Less detail

Predicting Fire Resistance Ratings of Timber Structures Using Artificial Neural Networks

https://research.thinkwood.com/en/permalink/catalogue2383
Year of Publication
2020
Topic
Fire
Application
Wood Building Systems
Floors
Author
Tung, Pham Thanh
Hung, Pham Thanh
Publisher
National University of Civil Engineering
Year of Publication
2020
Format
Journal Article
Application
Wood Building Systems
Floors
Topic
Fire
Keywords
Artificial Neural Network
Fire Resistance
Sensitivity Analysis
Wooden Floor Assembly
Research Status
Complete
Series
Journal of Science and Technology in Civil Engineering
Online Access
Free
Resource Link
Less detail