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Technical University of Munich

Solution Spaces

Towards the theoretical limit of optimal requirement decomposition using solution spaces for complex systems design

Keywords: Solution space engineering, requirement decomposition, complex systems design, optimization 

Solution spaces as component requirements (left), supporting integrability (right).

Scope

Dividing a large system into smaller parts may reduce design complexity and enable concurrent engineering. The key idea of this project is to compute and maximize generalized component solution spaces to enable decomposition. If properties of all components are realized within their respective component solution spaces, the overall design goal will be reached, while designers are still allowed to work independently with maximum design freedom.

Results

Tools for Systems Design, Solution Space Engineering and Optimization

Application example truss design: Solution spaces for (left) node positions of a truss and (right) material and geometrical properties of one example component.
Randomly chosen designs from the solution space. All satisfy requirements on stiffness and total mass.

Project Duration

January 2022 until January 2025 

Funding

DFG

 

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