Publication | Computers & Structures Journal 2019
Design optimization of dynamic flexible multibody systems using the discrete adjoint variable method
This paper proposes a method for sensitivity analysis of dynamic mechanical multibody systems. The developed methodology is also applicable to other time-dependent structural dynamics optimization problems.
Download publicationAbstract
Design optimization of dynamic flexible multibody systems using the discrete adjoint variable method
Mehran Ebrahimi, Adrian Butscher, Hyunmin Cheong, Francesco Iorio
Computers & Structures Journal 2019
The design space of dynamic multibody systems (MBSs), particularly those with flexible components, is considerably large. Consequently, having a means to efficiently explore this space and find the optimum solution within a feasible time-frame is crucial. It is well-known that for problems with several design variables, sensitivity analysis using the adjoint variable method extensively reduces the computational costs. This paper presents the novel extension of the discrete adjoint variable method to the design optimization of dynamic flexible MBSs. The extension involves deriving the adjoint equations directly from the discrete, rather than the continuous, equations of motion. This results in a system of algebraic equations that is computationally less demanding to solve compared to the system of differential algebraic equations produced by the continuous adjoint variable method. To describe the proposed method, it is integrated with a numerical time-stepping algorithm based on geometric variational integrators. The developed technique is then applied to the optimization of MBSs composed of springs, dampers, beams and rigid bodies, considering both geometrical (e.g., positions of joints) and non-geometrical (e.g., mechanical properties of components) design variables. To validate the developed methods and show their applicability, three numerical examples are provided.
Related Resources
2022
MaskTune: Mitigating Spurious Correlations by Forcing to ExploreThis work proposes a masking strategy that prevents over-reliance on…
2011
Lifecycle Building Card: Toward Paperless and Visual Lifecycle Management ToolsThis paper presents a novel vision of paperless and visual lifecycle…
2022
UNIST: Unpaired Neural Implicit Shape Translation NetworkWe introduce UNIST, the first deep neural implicit modelfor…
2022
How the Construction Industry can Operate Sustainably: A New Way to Reduce WasteAutodesk Research hosts a panel discussion: “Looking Towards a…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us