Recent developments in MDO system formulation

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Delft University of Technology

Recent developments in MDO system formulation KADMOS and CMDOWS

van Gent, Imco; la Rocca, Gianfranco

Publication date 2017

Document Version Final published version

Citation (APA)

van Gent, I., & La Rocca, G. (2017). Recent developments in MDO system formulation: KADMOS and CMDOWS. 1st European Workshop on MDO for Industrial Applications in Aeronautics, Braunschweig, Germany.

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Recent developments for

MDO system formulation:

KADMOS and CMDOWS

Imco van Gent, PhD candidate, TU Delft

Gianfranco La Rocca, Assistant professor, TU Delft

Topic 2: MDO Concepts, Methods and Algorithms, 16:20-16:40h

1st European Workshop on MDO for Industrial Applications in

Aeronautics – Challenges and Expectations

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2

MDO systems

Tool repository _problemMDO MDO solution _strategy Collaborative _workflow MDOptimized_design

Formulation phase

Execution phase

⦁

Tools used

⦁

Design variables

⦁

Objective

⦁

Constraints

⦁

MDO architecture

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MDO systems

5 different stages of an MDO system

Formulation phase

Execution phase

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4

MDO systems

Formulation phase

Execution phase

Collaboration = key!

~60-80% of project time

[1]

AGILE goal:

40% time reduction to set up

collaborative MDO workflow

realization gap

[1] P.D. Ciampa and B. Nagel. The AGILE Paradigm: the next generation of collaborative MDO. In 18th AIAA/ISSMO

Multidisciplinary Analysis and Optimization Conference, 2017.

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MDO systems

Formulation phase

Execution phase

realization gap

FRAMEWORK! FRAMEWORK! FRAMEWORK!

We need to automate the design process

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6

KADMOS

[2]

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

= system input/output = coupling variable = design competence

Repository connectivity graph (RCG)

D1

CPACS (XML) input CPACS (XML) output

D2

D3

F1

Etcetera…

Tool

[2] I. van Gent, G. La Rocca, and L.L.M. Veldhuis. Composing MDAO symphonies: graph-based generation and manipulation of large multidisciplinary systems. In 18th AIAA/ISSMO

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Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

= design variable = objective = constraint = preprocessing function = disciplinary analysis = function

Fundamental problem graph (FPG)

RCG

KADMOS

[2]

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8

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

MDAO process

graph (MPG)

MDAO data graph (MDG)

= converger = optimizer CONV OPT

+

FPG

RCG

KADMOS

[2]

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Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

+

RCG

FPG

MPG

KADMOS

[2]

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10

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

add tool

+

RCG

FPG

KADMOS

[2]

MDG

MPG

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KADMOS within AGILE

[3]

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

Collaborative

workflow

Collaborative

workflow

Collaborative

workflow

Tool repository

SMR

Visualization

package

VIST MS

[3] I. van Gent, P.D. Ciampa, B. Aigner, J. Jepsen,

G. La Rocca, and E.J. Schut. Knowledge

architecture supporting collaborative MDO in the AGILE paradigm. In 18th AIAA/ISSMO

Multidisciplinary Analysis and Optimization Conference, 2017.

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12

CMDOWS

[4]

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

Collaborative

workflow

Collaborative

workflow

Collaborative

workflow

Tool repository

SMR

Visualization

package

VIST MS

[4] I. van Gent, G. La Rocca, and M.F.M.

Hoogreef. CMDOWS: A Proposed New Standard to Store and Exchange MDO Systems. In 6th CEAS Air and Space Conference, 2017.

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CMDOWS

[4]

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

Collaborative

workflow

Collaborative

workflow

Collaborative

workflow

Tool repository

SMR

Visualization

package

VIST MS

[4] I. van Gent, G. La Rocca, and M.F.M.

Hoogreef. CMDOWS: A Proposed New Standard to Store and Exchange MDO Systems. In 6th CEAS Air and Space Conference, 2017.

(15)

14

CMDOWS

[4]

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

SMR

Visualization

package

VIST MS

• Common MDO Workflow Schema

• XML schema

• Based on graphs

• Open-source:

cmdows-repo.agile-project.eu

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Conclusion

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

SMR

Formulation phase

Execution phase

In collaborative MDO with a large, heterogeneous team (industrial setting):

I. We need a separate, dedicated system to support the formulation of our

MDO solution strategy before we move to the execution phase.

II. We need an open-source, central data schema to enable the storage and

exchange of our MDO system at different stages of the formulation phase.

realization gap

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16

Conclusion

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

SMR

Formulation phase

Execution phase

[2-5]

[5] I. van Gent, R. Lombardi, G. La Rocca, and R. d’Ippolito. A fully automated chain from MDAO problem formulation to workflow execution. In EUROGEN 2017, 2017.

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Future work

Tool repository

_problem

MDO

MDO solution

_strategy

Collaborative

_workflow

SMR

Formulation phase

Execution phase

AGILE Configurations

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18

Questions?

Open-source references

Acknowledgements

The research presented in this presentation has been performed in the framework of the AGILE project (Aircraft 3rd Generation MDO for Innovative Collaboration of Heterogeneous Teams of Experts) and has received funding from the European Union Horizon 2020 Programme (H2020-MG-2014-2015) under grant agreement no _{636202. The authors}

are grateful to the partners of the AGILE consortium for their contribution and feedback.

=> https://bitbucket.org/imcovangent/kadmos

=> http://cmdows-repo.agile-project.eu

=> http://cmdows.agile-project.eu

=> http://rcenvironment.de/

=> http://openmdao.org/

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References

[1] P.D. Ciampa and B. Nagel. The AGILE Paradigm: the next generation of

collaborative MDO. In 18th AIAA/ISSMO Multidisciplinary Analysis and

Optimization Conference, 2017.

[2] I. van Gent, G. La Rocca, and L.L.M. Veldhuis. Composing MDAO

symphonies: graph-based generation and manipulation of large multidisciplinary

systems. In 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization

Conference, 2017.

[3] I. van Gent, P.D. Ciampa, B. Aigner, J. Jepsen, G. La Rocca, and E.J. Schut.

Knowledge architecture supporting collaborative MDO in the AGILE paradigm. In

18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017.

[4] I. van Gent, G. La Rocca, and M.F.M. Hoogreef. CMDOWS: A Proposed New

Standard to Store and Exchange MDO Systems. In 6th CEAS Air and Space

Conference, 2017.

[5] I. van Gent, R. Lombardi, G. La Rocca, and R. d’Ippolito. A fully automated

chain from MDAO problem formulation to workflow execution. In EUROGEN

2017, 2017.

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20

Appendix: AGILE Knowledge Architecture

Design Competence

Automated Design

Development Process

Data & Schemas

Step I Step II Step III Step IV Step V

Aero solver Structural_analysis Mission analysis DLR morphing

CMDOWS

0, 12:

COOR 1: 2 inputs 2: 7 inputs 3: 21 inputs 4: 9 inputs 5: 2 inputs 6: 20 inputs 7: 14 inputs 8: 3 inputs 10: 3 inputs 10: 8 inputs 1:

HANGAR[AGILE DC1 WP6 wing startpoint] 3: 103 connections 4: 119 connections 6: 161 connections 7: 107 connections 8: 2 connections 12: 3 outputs 2, 11! 3:

DOE 3: 7 connections 3:

SCAM-merged[5modes] 4: 15 connections 6: 15 connections 7: 15 connections 4:

GACA-merged[2modes] 7: 1 connection 10: 2 connections 5, 9! 6:

CONV 6: 2 connections 7: 1 connection 6:

Q3D[FLC]-EMWET–seq 8: 1 connection 7:

Q3D[VDE]-SMFA–seq 8: 1 connection 10: 1 connection 9: 2 connections 8:

MTOW 10: 1 connection 10: 1 connection 11: 1 connection 10: OBJ 11: 2 connections CNSTRNT-merged[2modes]10: