Deep Learning In Early-Stage Structural Performance Prediction

This research develops artificial neural networks that achieve early-state structural design feedback, while carefully considering which morphological parameters in buildings can be used to accurately predict structural performance metrics.

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  • Deep Zargar 2022.pdf

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Metadata

Work Title Deep Learning In Early-Stage Structural Performance Prediction
Access
Open Access
Creators
  1. Seyed Hossein Zargar
  2. Nathan Brown
Keyword
  1. Artificial neural networks
  2. Deep learning
  3. Design Space Exploration (DSE)
  4. Interactive structural design
  5. Performance prediction
  6. Surrogate modelling
License CC BY-NC 4.0 (Attribution-NonCommercial)
Work Type Poster
Publication Date November 28, 2022
Source
  1. Fall 2022 Stuckeman School Research Open House
Deposited March 27, 2023

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Version 1
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  • Created
  • Updated
  • Added Creator Seyed Hossein Zargar
  • Added Creator Nathan Brown
  • Added Deep Zargar 2022.pdf
  • Updated License Show Changes
    License
    • https://creativecommons.org/licenses/by-nc/4.0/
  • Published
  • Updated