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JAX FDM: A differentiable solver for inverse form-finding

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arxiv 2307.12407 v2 pith:4PGXXJJS submitted 2023-07-23 cs.CE

Rafael Pastrana , Deniz Oktay , Ryan P. Adams , Sigrid Adriaenssens This is my paper · ORCID
classification cs.CE
keywords differentiableform-findingsolverdesignexamplesinversestructuresarchitectural
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We introduce JAX FDM, a differentiable solver to design mechanically efficient shapes for 3D structures conditioned on target architectural, fabrication and structural properties. Examples of such structures are domes, cable nets and towers. JAX FDM solves these inverse form-finding problems by combining the force density method, differentiable sparsity and gradient-based optimization. Our solver can be paired with other libraries in the JAX ecosystem to facilitate the integration of form-finding simulations with neural networks. We showcase the features of JAX FDM with two design examples. JAX FDM is available as an open-source library at https://github.com/arpastrana/jax_fdm.

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