Identifying steel elements for reuse using advanced analysis from AI and engineering

Backed by David Lang
City St. George's University of London
London, Greater London
EngineeringMaterials Science
$15
Raised of $9,360 Goal
1%
Ended on 7/09/25
Campaign Ended
  • $15
    pledged
  • 1%
    funded
  • Finished
    on 7/09/25

Methods

Summary

🔬 Project Methods:

In the first year, the project will focus on a thorough literature review and expert consultations to shape the research framework. In the following phases, I will carry out:

  • Literature review to define the theoretical and technical background

  • Data collection from case studies, industry reports, and on-site observations

  • Non-destructive mechanical testing (NDT) of steel elements to assess their suitability for reuse

  • Testing with real-world case studies to validate the tool’s practical applicability and accuracy

Challenges

Developing a reliable tool for steel reuse presents several challenges:

  • Data quality and availability: Accessing detailed, consistent information on reclaimed steel elements can be limited or fragmented.

  • Technical complexity: Designing effective non-destructive tests that balance accuracy and practicality requires interdisciplinary expertise.

  • Strategic decision-making: As a self-funded researcher, making the right technical and structural decisions early on—without institutional backing—requires mentorship and guidance.

Protocols

This project has not yet shared any protocols.