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WP3 : Flood Propagation Computation On The ‘Isolated Building Test Case’ And The ‘ Model City Flooding Experiment ’. B. Noël, Soares S., Y. Zech Université catholique de Louvain. Overview. Numerical Model The ‘Isolated Building Benchmark’ Numerical modelling Numerical results

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WP3 : Flood PropagationComputation On The ‘Isolated Building Test Case’ And The ‘Model City Flooding Experiment ’

B. Noël, Soares S., Y. Zech

Université catholique de Louvain


Overview
Overview

  • Numerical Model

  • The ‘Isolated Building Benchmark’

    • Numerical modelling

    • Numerical results

    • Sensitivity analysis

  • The ‘Model City Benchmark’

    • Numerical modelling

    • Numerical results

    • Sensitivity analysis


Overview1
Overview

  • Numerical Model

  • The ‘Isolated Building Benchmark’

    • Numerical modelling

    • Numerical results

    • Sensitivity analysis

  • The ‘Model City Benchmark’

    • Numerical modelling

    • Numerical results

    • Sensitivity analysis


Numerical model
Numerical Model

  • 2D finite-volume method

  • First-order scheme

  • Flux evaluated by Roe’s scheme

  • Non-Cartesian grids allowed

    ‘Soares Frazão S., 2002 PHD Thesis ’


Overview2
Overview

  • Numerical Model

  • The ‘Isolated Building Benchmark’

    • Numerical modelling

    • Numerical results

    • Sensitivity analysis

  • The ‘Model City Benchmark’

    • Numerical modelling

    • Numerical results

    • Sensitivity analysis


The isolated building benchmark

Square meshes

Quadrangular meshes

The ‘Isolated Building Benchmark’

  • Numerical modelling (2-mesh grid)

    • Grid :


The isolated building benchmark1
The ‘Isolated Building Benchmark’

  • Numerical modelling

    • Building neighbouring


The isolated building benchmark2
The ‘Isolated Building Benchmark’

  • Numerical modelling

    • Grid mean size : 5 x 5 cm

    • CFL number : 0.9

    • Time duration : ± 2 h

    • CPU : AMD XP1800+ (128Mb)



The isolated building benchmark4
The ‘Isolated Building Benchmark’

  • Numerical results

    • Water level :


The isolated building benchmark5
The ‘Isolated Building Benchmark’

  • Numerical results

    • Water level (t = 10 s) :


The isolated building benchmark6
The ‘Isolated Building Benchmark’

  • Numerical results

    • Velocity field (t = 5 s) :

Numerical

Experimental

Noël, Spinewine 2003 - UCL


The isolated building benchmark7
The ‘Isolated Building Benchmark’

  • Numerical results

    • Velocity Intensity (t = 5 s) :

Numerical

Experimental

Noël, Spinewine 2003 - UCL


The isolated building benchmark8
The ‘Isolated Building Benchmark’

  • Sensitivity analysis

    • Manning roughness coefficient


The isolated building benchmark9
The ‘Isolated Building Benchmark’

  • Sensitivity analysis

    • Initial downstream water-depth


Overview3
Overview

  • Numerical Model

  • The ‘Isolated Building Benchmark’

    • Numerical modelling

    • Numerical results

    • Sensitivity analysis

  • The ‘Model City Benchmark’

    • Numerical modelling

    • Numerical results

    • Sensitivity analysis


The model city benchmark
The ‘Model City Benchmark’

  • Numerical modelling (channelled)

    Mesh XXX


The model city benchmark1
The ‘Model City Benchmark’

  • Numerical modelling (10-mesh grid)

    Mesh XXX


The model city benchmark2
The ‘Model City Benchmark’

  • Numerical modelling (original)

    Mesh XXX


The model city benchmark3
The ‘Model City Benchmark’

  • Numerical modelling (10-mesh grid)


The model city benchmark4
The ‘Model City Benchmark’

  • Numerical modelling

    • Topography reconstruction


The model city benchmark5
The ‘Model City Benchmark’

  • Numerical modelling

    • Upstream reservoir

      • Dimensions : unknown but seen on picture

         about 1 meter of longitudinal length

         lateral bed level similar to the bed level of upstream end of channel

      • Best way to model : decrease bed level of feeding tank and fill it with water at rest  numerical crash at corner of reservoir


The model city benchmark6

Walls

Inlet

Walls

The ‘Model City Benchmark’

  • Numerical modelling

    • Upstream reservoir

      • bed level of the upstream end of channel

      • Inlet introduced at the upstream end of the prolonged channel


The model city benchmark7
The ‘Model City Benchmark’

  • Numerical modelling

    • Grid mean size : 2.5 x 2.5 cm

    • CFL number : 0.1

    • Time duration : ± 5h.

    • Computer : AMD XP1800+ (128Mb)


The model city benchmark8
The ‘Model City Benchmark’

  • Numerical results

    • Test cases 1a & 1b (t = 20 s) :

      Staggered layer :

      - velocity decreased

      - water level increased in the building layer


The model city benchmark9
The ‘Model City Benchmark’

  • Numerical results

    • Test cases 2a & 2b (t = 20 s) :

      Staggered layer :

      - velocity decreased

      - water level increased in the building layer


The model city benchmark10
The ‘Model City Benchmark’

  • Numerical results

    • Test cases 3a & 3b (t = 20 s) :

      Low inflow :

      60 l/s

      High inflow :

      100 l/s


The model city benchmark11
The ‘Model City Benchmark’

  • Numerical results

    • Test cases 4a & 4b (t = 20 s) :

      Buildings as bed elevation (15 cm):


The model city benchmark12
The ‘Model City Benchmark’

  • Numerical results

    • Test cases 4a & 4c (t = 20 s) :

      High friction

      (n = 10 s/m1/3):

      - water lost in buildings

      - maximum water level moves downstream and is a few decreased


The model city benchmark13
The ‘Model City Benchmark’

  • Sensitivity analysis

    • Downstream boundary condition


WP3 : Flood PropagationComputation On The ‘Isolated Building Test Case’ And The ‘Model City Flooding Experiment ’

B. Noël, Soares S., Y. Zech

Université catholique de Louvain


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