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Machine Learning and Optimization Techniques for Steel Connections

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Presented at IASS 2018 @ MIT

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Machine Learning and Optimization Techniques for Steel Connections

  1. 1. Machine Learning and Optimization techniques for Steel Connections Lorenzo Greco, www.parametricism.co.uk, AKT II Paper number 205 lorenzogreco@gmail.com
  2. 2. Sberbank - Zaha Hadid, 200000mq free form Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com
  3. 3. Random boring factory - unknown Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com
  4. 4. Most amazing city - many Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com
  5. 5. Sample model - Revit Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com
  6. 6. Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com 6 End plate joint
  7. 7. Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com 7 Thickness > Bolt Strength > Phi > Rows Plate thickness [5..5..40] [mm] Rows count (subject to geometrical limits) [2..1..10] Bolt phi [16..2..30] [mm] Bolt strength [8.8, 9.8, 10.9] N, Compression force [0..4..200] [kN] Vy, Vertical shear [0..10..500] [kN] Mx, Bending moment around the major axis [0..6..300] [kNm] Database Generation
  8. 8. Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com 8 # N [kN] Vy [kN] Mx [kNm] Rows Φ t [mm] UF 0 0 0 0 2 16 5 0.00 1 10 0 0 2 16 5 0.02 ... ... ... ... ... ... ... ... 1834 200 500 300 4 22 10 0.89 Without considering multiple connections and varying angles, it was 60+ parameters. Reduced to 6 Database Generation
  9. 9. Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com 9 Data Analysis
  10. 10. Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com 10 ● Ridge ● RidgeCV ● KNeighbors (Regressor) ● Linear Regression ● Elastic Net ● Partial Least Squares regression ● Multi-layer Perceptron Benchmark
  11. 11. Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com 11 White City Place
  12. 12. Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com 12 Optimized dataset Accuracy benchmark Robot's analysis Real case Real case with optimized joints
  13. 13. Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com 13 Breakdown of utilization factor. Blue: White City Place Red: ML + Optimization Comparison: ML vs ground truth
  14. 14. Lorenzo Greco, parametricism.co.uk | AKT II, lorenzogreco@gmail.com 14 ● Automize joint design and steel design embedding engineers’ decisions ● Gain insights from patterns emerging from real projects and incorporate them in code and guidelines ● Automate checks on projects by proof engineers and city council ● Retrofitting ● Simplify explorations for complex structures ● Expand to MEP layout, architectural finishing, detailing, etc... Conclusion and future progress

Presented at IASS 2018 @ MIT

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