Tim Krake ; Malte von Scheven ; Jan Gade ; Moataz Abdelaal ; Daniel Weiskopf et al. - Efficient Update of Redundancy Matrices for Truss and Frame Structures

jtcam:9615 - Journal of Theoretical, Computational and Applied Mechanics, November 11, 2022 - https://doi.org/10.46298/jtcam.9615
Efficient Update of Redundancy Matrices for Truss and Frame Structures

Authors: Tim Krake ; Malte von Scheven ORCID-iD; Jan Gade ORCID-iD; Moataz Abdelaal ORCID-iD; Daniel Weiskopf ORCID-iD; Manfred Bischoff ORCID-iD

    Redundancy matrices provide insights into the load carrying behavior of statically indeterminate structures. This information can be employed for the design and analysis of structures with regard to certain objectives, for example reliability, robustness, or adaptability. In this context, the structure is often iteratively examined with the help of slight adjustments. However, this procedure generally requires a high computational effort for the recalculation of the redundancy matrix due to the necessity of costly matrix operations. This paper addresses this problem by providing generic algebraic formulations for efficiently updating the redundancy matrix (and related matrices). The formulations include various modifications like adding, removing, and exchanging elements and are applicable to truss and frame structures. With several examples, we demonstrate the interaction between the formulas and their mechanical interpretation. Finally, a performance test for a scaleable structure is presented.

    Published on: November 11, 2022
    Accepted on: October 4, 2022
    Submitted on: May 27, 2022
    Keywords: Computer Science - Computational Engineering, Finance, and Science

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