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A Computer Vision Framework for Structural Analysis of Hand-Drawn Engineering Sketches.

Isaac Joffe1, Yuchen Qian2, Mohammad Talebi-Kalaleh2

  • 1Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.

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This study introduces an automated framework that converts hand-drawn structural engineering sketches into analyzed models using computer vision. This innovation significantly speeds up structural analysis, reducing errors and manual effort for engineers.

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Area of Science:

  • Structural Engineering
  • Computer Vision
  • Computational Mechanics

Background:

  • Manual conversion of engineering sketches to digital models is time-consuming and error-prone.
  • Hand calculations for structural analysis are slow and prone to mistakes.
  • Need for efficient tools to bridge the gap between conceptual design and analysis.

Purpose of the Study:

  • To develop an autonomous framework for converting hand-drawn engineering sketches into analyzed structural models.
  • To leverage computer vision for automated feature extraction and interpretation of structural diagrams.
  • To integrate sketch analysis with structural analysis software for a complete workflow.

Main Methods:

  • Utilized computer vision for object detection to identify raw features in sketches.
  • Implemented a number-reading model to transcribe handwritten numerals.
  • Employed feature association models to establish relationships between detected elements.
  • Integrated the generated structural model with OpenSees for analysis.

Main Results:

  • Object detection achieved 99.1% mean average precision.
  • Number-reading model accuracy reached 99.0%.
  • Feature association models demonstrated accuracies between 95.1% and 99.5%.
  • The framework correctly analyzed 45.0% of images entirely and 55.0% partially.

Conclusions:

  • The proposed framework successfully automates the conversion of engineering sketches to analyzed structural models.
  • This technology offers significant potential for improving efficiency, safety, and sustainability in structural engineering.
  • The framework shows promise for application to various structural types beyond beams, including trusses and frames.