The objective of this study was to explore the potential a machine learning algorithm, Support Vector Machine Regression (SVR), forecast long-term hygrothermal responses and moisture performance light wood frame massive timber walls. Hygrothermal simulations were performed using 31-year long series climate data in three cities across Canada. Then, first 5 years used each case train model, which...

Energy retrofit of existing masonry buildings has become attractive to meet demands for reduction in energy consumption. Retrofit may, however, introduce moisture risk that needs be assessed. Hygrothermal simulation analysis is often conducted this respect. Nevertheless, hygrothermal interior insulated bare brick exposed driving rain can challenging due the many aspects involved determine heat-...

Abstract Due to the need for structures with refined properties bear against different loading conditions, recently, carbon nanotubes (CNTs) have been used widely reinforce them. The extremely high stiffness of CNTs makes them significant as one best reinforcements improve mechanical behaviors structures. This work focuses on microbeam buckling response an initial curvature that includes three ...