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UniBwM Breach Modelling

Explore the DEICH_P breach model for dam erosion prediction and risk analysis. Utilize Monte Carlo Analysis Tool (MCAT) and Field & Laboratory Test Cases for accurate breach location identification. Enhance dam safety with advanced breach analysis techniques.

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UniBwM Breach Modelling

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  1. UniBwM Breach Modelling Dr.-Ing. Karl Broich

  2. Content • Breach Model DEICH_P • Test cases - Field Test cases - Laboratory Test cases • Breach Analysis - Monte Carlo Analysis using MCAT - Tous Test case • Breach Location - Identifying Breach Locations - Breach analysis a long embankment dam line 4th IMPACT Workshop - Zaragoza

  3. Breach Model DEICH_P DEICH_P : a Dam Erosion Model with Initial Breach Characteristic using a Parametrical approach 4th IMPACT Workshop - Zaragoza

  4. Q from broadcrested weir formula Sediment transport Breach formation H from QH-relation Advance in time Breach Model DEICH_P Algorithm Iteration 4th IMPACT Workshop - Zaragoza

  5. Breach Model DEICH_P MCAT Process Structure Monte Carlo Analysis Tool DEICH_P FLOODSIM 2d-numerical SWE-solver 4th IMPACT Workshop - Zaragoza

  6. Breach Model DEICH_P Data Structure 4th IMPACT Workshop - Zaragoza

  7. Breach Model DEICH_P Erosion modes • mode 1 : non cohesive without core • mode 2 : non cohesive with core • mode 3 : cohesive with discrete erosion - head cut - approach - “Weißmann” - approach • mode 4 : cohesive with continuous erosion 4th IMPACT Workshop - Zaragoza

  8. Breach Model DEICH_P Initial breach modes • mode 1 : breach notch • mode 2 : piping Coverage resistance According to CIRIA-experiments 4th IMPACT Workshop - Zaragoza

  9. Breach Model DEICH_P Breach Formation 4th IMPACT Workshop - Zaragoza

  10. Breach Model DEICH_P Breach Formation without core 4th IMPACT Workshop - Zaragoza

  11. Breach Model DEICH_P Breach Formation with core 4th IMPACT Workshop - Zaragoza

  12. Test cases Field Test Case 1 4th IMPACT Workshop - Zaragoza

  13. Test cases Field Test Case 2 4th IMPACT Workshop - Zaragoza

  14. Test cases Field Test Case 3 4th IMPACT Workshop - Zaragoza

  15. Test cases Field Test Case 4 4th IMPACT Workshop - Zaragoza

  16. Test cases Field Test Case 5 4th IMPACT Workshop - Zaragoza

  17. Test cases Laboratory Test Case 2 4th IMPACT Workshop - Zaragoza

  18. Test cases Laboratory Test Case 4 4th IMPACT Workshop - Zaragoza

  19. Test cases Laboratory Test Case 5 4th IMPACT Workshop - Zaragoza

  20. Test cases Laboratory Test Case 6 4th IMPACT Workshop - Zaragoza

  21. Test cases Laboratory Test Case 7 4th IMPACT Workshop - Zaragoza

  22. Test cases Laboratory Test Case 9 4th IMPACT Workshop - Zaragoza

  23. Test cases Laboratory Test Case 10 4th IMPACT Workshop - Zaragoza

  24. Test cases Laboratory Test Case 11 4th IMPACT Workshop - Zaragoza

  25. Test cases Laboratory Test Case 12 4th IMPACT Workshop - Zaragoza

  26. Test cases Laboratory Test Case 13 4th IMPACT Workshop - Zaragoza

  27. Test cases Laboratory Test Case 14 4th IMPACT Workshop - Zaragoza

  28. Test cases Laboratory Test Case 15 4th IMPACT Workshop - Zaragoza

  29. Test cases Laboratory Test Case 16 4th IMPACT Workshop - Zaragoza

  30. Test cases Laboratory Test Case 17 4th IMPACT Workshop - Zaragoza

  31. Breach Analysis Monte Carlo Analysis using MCAT MCAT-software of the Civil and Environmental Engineering Department Imperial College of Science Technology and Medicine London. The core of the toolbox is based on the concept of Regional Sensitivity Analysis (RSA, Spear and Hornberger, 1980; Hornberger and Spear, 1981), and its extension to the Generalised Likelihood Uncertainty Estimation (GLUE) technique developed at Lancaster University by Beven and coworkers (Beven and Binley, 1992; Freer et al., 1996). In GLUE no single optimum parameter set is identified, rather a set of behavioural models are selected where each model has a certain likelihood (pseudo probability) of being the correct representation of the system. This method recognises that it is not possible to identify a single best model in the face of model/data error. MCAT is implemented for MATLAB. 4th IMPACT Workshop - Zaragoza

  32. Breach Analysis Tous Test case : Given data 4th IMPACT Workshop - Zaragoza

  33. Breach Analysis Tous Test case : Sample rate 4th IMPACT Workshop - Zaragoza

  34. Breach Analysis Tous Test case : Procedure If calibration data is given: Fix Model Parameters using GLUE MC-Variation on Input Parameters 4th IMPACT Workshop - Zaragoza

  35. Breach Analysis Tous Test case : Fixing 4th IMPACT Workshop - Zaragoza

  36. Breach Analysis Tous Test case : Variation Erosion Mode 1 4th IMPACT Workshop - Zaragoza

  37. Breach Analysis Tous Test case : Variation Erosion Mode 2 4th IMPACT Workshop - Zaragoza

  38. All upper-mid-lower results 4th IMPACT Workshop - Zaragoza

  39. Breach Location Case study areas 4th IMPACT Workshop - Zaragoza

  40. Breach Location Identifying Breach Locations : Test case Iller River 4th IMPACT Workshop - Zaragoza

  41. DEICH_P FLOODSIM Breach Location Breach Analysis a long embankment dam line Module in 2d-numerical SWE-solver 4th IMPACT Workshop - Zaragoza

  42. Breach Location Breach Analysis a long embankment dam line Calculation a long lines (multiple breach locations) 4th IMPACT Workshop - Zaragoza

  43. Breach Location Breach Analysis a long embankment dam line Calculation a long lines (multiple breach locations) Mangfall River – an example 4th IMPACT Workshop - Zaragoza

  44. Breach Location Breach Risk Analysis for Levees – a proposal P ~ 1/h 4th IMPACT Workshop - Zaragoza

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