A unifying framework for form-finding and topology-finding of tensegrity structures. (15th April 2021)
- Record Type:
- Journal Article
- Title:
- A unifying framework for form-finding and topology-finding of tensegrity structures. (15th April 2021)
- Main Title:
- A unifying framework for form-finding and topology-finding of tensegrity structures
- Authors:
- Wang, Yafeng
Xu, Xian
Luo, Yaozhi - Abstract:
- Highlights: A unifying framework for form-finding and topology-finding of tensegrity structures. The computational framework is based on rank-constrained linear matrix inequalities. A Newton-like algorithm is employed to solve the rank-constrained LMIs efficiently. Tensegrity structures with single and with multiple self-stress state(s) can be handled. Symmetric/regular and non-symmetric/irregular tensegrity structures can be handled. Abstract: This paper presents a unifying framework for the form-finding and topology-finding of tensegrity structures. The novel computational framework is based on rank-constrained linear matrix inequalities. For form-finding, given the topology (i.e., member connectivities), the determination of the member force densities is formulated into a linear matrix inequality (LMI) problem with a constraint on the rank of the force density matrix. The positive semi-definiteness and rank deficiency condition of the force density matrix are well managed by the rank-constrained LMI-based formulation. A Newton-like algorithm is employed to solve the rank-constrained LMI problem. Two methods, named direct method and indirect method, are proposed to determine the nodal coordinates once the force densities have been obtained. For topology-finding, given the geometry (i.e., nodal coordinates), the determination of the topology is also formulated into an LMI problem with a constraint on the rank of the tangent stiffness matrix. Numerical examples demonstrateHighlights: A unifying framework for form-finding and topology-finding of tensegrity structures. The computational framework is based on rank-constrained linear matrix inequalities. A Newton-like algorithm is employed to solve the rank-constrained LMIs efficiently. Tensegrity structures with single and with multiple self-stress state(s) can be handled. Symmetric/regular and non-symmetric/irregular tensegrity structures can be handled. Abstract: This paper presents a unifying framework for the form-finding and topology-finding of tensegrity structures. The novel computational framework is based on rank-constrained linear matrix inequalities. For form-finding, given the topology (i.e., member connectivities), the determination of the member force densities is formulated into a linear matrix inequality (LMI) problem with a constraint on the rank of the force density matrix. The positive semi-definiteness and rank deficiency condition of the force density matrix are well managed by the rank-constrained LMI-based formulation. A Newton-like algorithm is employed to solve the rank-constrained LMI problem. Two methods, named direct method and indirect method, are proposed to determine the nodal coordinates once the force densities have been obtained. For topology-finding, given the geometry (i.e., nodal coordinates), the determination of the topology is also formulated into an LMI problem with a constraint on the rank of the tangent stiffness matrix. Numerical examples demonstrate that different types of form-finding problems (such as tensegrity structures with single and with multiple self-stress states, symmetric and irregular tensegrity structures) can be uniformly and efficiently solved by the proposed approach. Furthermore, three well-known tensegrity structures are reproduced to verify the effectiveness of the proposed formulation on the topology-finding of tensegrity structures. … (more)
- Is Part Of:
- Computers & structures. Volume 247(2021)
- Journal:
- Computers & structures
- Issue:
- Volume 247(2021)
- Issue Display:
- Volume 247, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 247
- Issue:
- 2021
- Issue Sort Value:
- 2021-0247-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04-15
- Subjects:
- Tensegrity structures -- Form-finding -- Topology-finding -- Rank-constrained -- Linear matrix inequality
Structural engineering -- Data processing -- Periodicals
Electronic data processing -- Structures, Theory of -- Periodicals
624.171 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00457949/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compstruc.2021.106486 ↗
- Languages:
- English
- ISSNs:
- 0045-7949
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.790000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16016.xml