Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frame Structures
Anton Tkachuk, Tim Krake, Jan Gade, Malte von Scheven

TL;DR
This paper introduces a computationally efficient closed-form method for calculating redundancy matrices in moderately redundant truss and frame structures, reducing effort compared to traditional approaches.
Contribution
It presents a novel closed-form expression derived via singular value decomposition, specifically optimized for moderately redundant structures.
Findings
Method reduces computational effort for redundancy matrices.
Effective for systems with increasing size and indeterminacy.
Demonstrated through several illustrative examples.
Abstract
Large statically indeterminate truss and frame structures exhibit complex load-bearing behavior, and redundancy matrices are helpful for their analysis and design. Depending on the task, the full redundancy matrix or only its diagonal entries are required. The standard computation procedure has a high computational effort. Many structures fall in the category of moderately redundant, i.e., the ratio of the statical indeterminacy to the number of all load-carrying modes of all elements is less one half. This paper proposes a closed-form expression for redundancy contributions that is computationally efficient for moderately redundant systems. The expression is derived via a factorization of the redundancy matrix that is based on singular value decomposition. Several examples illustrate the behavior of the method for increasing size of systems and, where applicable, for increasing degree…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsProbabilistic and Robust Engineering Design · Structural Health Monitoring Techniques · Structural Analysis and Optimization
