Tag: Class of 2021

Creating a new way of architecture drawing based on machine learning to save architecture or BIM modelers’ time: Based on the BIM data set of an architecture firm, Dynamo (a visual programming language in the Revit) was used to obtain a training set and a test set — two groups of the paired pictures. one type of the GAN called pix2pixHD were trained based on the training set, which is a process of learning the relationship between two paired image. A floor plan with all facilities locations would be predicted by given a certain shape of the room. Then the predicted result is reversed and input back to the rooms with facilities in Revit.

The indoor environmental conditions at 1865 workstations from over 60 modern office buildings were studied as part of an integrated Post Occupancy Evaluation study. The offices were located in research and development, public, private, and commercial buildings. Measured IEQ data and occupant responses were correlated with human factors such as age, gender, and spatial factors such as workstation location and its degree of enclosure. The study focuses on identifying the impacts of IEQ on self-reported work productivity.

Indoor air quality (IAQ) is one of the components of indoor environmental quality that needs considerable attention from building designers. Currently, people spend 90% of their daily routine in indoor spaces. It is not only necessary to be aware of the role of indoor environmental quality on wellbeing, but also the impacts from buildings components.The presented research explores the influence of building materials on VOC emissions. A two story residential house is used as the case study to assess the impact from materials in the building envelope on IAQ by using the CONTAM indoor air quality simulation tool.