TY - JOUR
T1 - Reinforcement of General Shell Structures
AU - Gil-Ureta, Francisca
AU - Pietroni, Nico
AU - Zorin, Denis
N1 - Funding Information:
*Work done prior to Amazon involvement of the author and does not reflect views of the Amazon company. This work was supported in part by the NSF grant OAC-1835712, the NSF award OIA-1937043, and a gift from Adobe Research. Authors’ addresses: F. Gil-Ureta and D. Zorin, New York University, 60 5th Ave, 5th floor, New York, NY 10011; emails: {gilureta, dzorin}@cs.nyu.edu; N. Pietroni, University of Technology Sydney, Faculty of Engineering and IT, Building 11, 81 Broadway Ultimo NSW 2007; email: [email protected]. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. © 2020 Association for Computing Machinery. 0730-0301/2020/06-ART153 $15.00 https://doi.org/10.1145/3375677
Publisher Copyright:
© 2020 ACM.
PY - 2020/9
Y1 - 2020/9
N2 - We introduce an efficient method for designing shell reinforcements of minimal weight. Inspired by classical Michell trusses, we create a reinforcement layout whose members are aligned with optimal stress directions, then optimize their shape minimizing the volume while keeping stresses bounded. We exploit two predominant techniques for reinforcing shells: Adding ribs aligned with stress directions and using thicker walls on regions of high stress. Most previous work can generate either only ribs or only variable-thickness walls. However, in the general case, neither approach by itself will provide optimal solutions. By using a more precise volume model, our method is capable of producing optimized structures with the full range of qualitative behaviors: From ribs to walls and smoothly transitioning in between. Our method includes new algorithms for determining the layout of reinforcement structure elements, and an efficient algorithm to optimize their shape, minimizing a non-linear non-convex functional at a fraction of the cost and with better optimality compared to standard solvers. We demonstrate the optimization results for a variety of shapes and the improvements it yields in the strength of 3D-printed objects.
AB - We introduce an efficient method for designing shell reinforcements of minimal weight. Inspired by classical Michell trusses, we create a reinforcement layout whose members are aligned with optimal stress directions, then optimize their shape minimizing the volume while keeping stresses bounded. We exploit two predominant techniques for reinforcing shells: Adding ribs aligned with stress directions and using thicker walls on regions of high stress. Most previous work can generate either only ribs or only variable-thickness walls. However, in the general case, neither approach by itself will provide optimal solutions. By using a more precise volume model, our method is capable of producing optimized structures with the full range of qualitative behaviors: From ribs to walls and smoothly transitioning in between. Our method includes new algorithms for determining the layout of reinforcement structure elements, and an efficient algorithm to optimize their shape, minimizing a non-linear non-convex functional at a fraction of the cost and with better optimality compared to standard solvers. We demonstrate the optimization results for a variety of shapes and the improvements it yields in the strength of 3D-printed objects.
KW - Topology optimization
KW - design
KW - simulation
UR - http://www.scopus.com/inward/record.url?scp=85091993600&partnerID=8YFLogxK
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U2 - 10.1145/3375677
DO - 10.1145/3375677
M3 - Article
AN - SCOPUS:85091993600
SN - 0730-0301
VL - 39
JO - ACM Transactions on Graphics
JF - ACM Transactions on Graphics
IS - 5
M1 - 3375677
ER -