HALO: Interactive Equilibrium Approach in Designing Tensegrity Hollow-Rope Structures

Zargar, Seyed Hossein; Alaghmandan, Matin

doi:10.1061/(asce)ae.1943-5568.0000487

Cited by 3 publications

(1 citation statement)

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“…Next, a form-finding process based on the Force Density Method (FD) is applied to the hyperbolic form using the HALO add-on in Grasshopper. 40 The form-finding is based on an initial weight of structural elements, with the goal of increasing the stiffness in response to self-weight. As shown by the calculated eigenvalue of the stiffness matrix for the initial and form-found geometry, the stiffness of the structure is improved considerably.…”

Section: Initial Spatial Geometry and Form-finding Processmentioning

confidence: 99%

Agent-based modelling for early-stage optimization of spatial structures

Zargar

Sadeghi

Brown

2022

International Journal of Architectural Computing

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Agent-based modelling (ABM) is a complex problem-solving approach that can be employed in early-stage parametric design, and certain design applications may benefit from such a bottom-up strategy. This research investigates the potential of ABM for structural design optimization. A case study of a form-found cantilevered truss is presented that has a doubly curved shape over a regular grid, resulting in individual members with different lengths across the structure. It is hypothesized that an agent-based approach might generate an irregular grid of similar or better structural performance, but with more uniform length of individual elements. This approach could be useful when designing a global structural form from a kit of parts or adaptively reusing a disassembled existing structure with regular member lengths. A series of ABM simulations are conducted with different hyperparameters, and the generated designs are compared to the original form-found shape in terms of structural performance.

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Section: Initial Spatial Geometry and Form-finding Processmentioning

confidence: 99%