Computational Design of Lightweight Trusses

01/17/2019
by   Caigui Jiang, et al.
0

Trusses are load-carrying light-weight structures consisting of bars connected at joints ubiquitously applied in a variety of engineering scenarios. Designing optimal trusses that satisfy functional specifications with a minimal amount of material has interested both theoreticians and practitioners for more than a century. In this paper, we introduce two main ideas to improve upon the state of the art. First, we formulate an alternating linear programming problem for geometry optimization. Second, we introduce two sets of complementary topological operations, including a novel subdivision scheme for global topology refinement inspired by Michell's famed theoretical study. Based on these two ideas, we build an efficient computational framework for the design of lightweight trusses. We illustrate our framework with a variety of functional specifications and extensions. We show that our method achieves trusses with smaller volumes and is over two orders of magnitude faster compared with recent state-of-the-art approaches.

READ FULL TEXT

page 2

page 3

page 5

page 6

page 7

page 8

page 11

page 12

research
06/10/2017

Two-Scale Topology Optimization with Microstructures

In this paper we present a novel two-scale framework to optimize the str...
research
07/04/2019

Optimizing micro-tiles in micro-structures as a design paradigm

In recent years, new methods have been developed to synthesize complex p...
research
11/10/2020

Computational Design and Fabrication of Corrugated Mechanisms from Behavioral Specifications

Orthogonally assembled double-layered corrugated (OADLC) mechanisms are ...
research
07/18/2023

Efficient Inverse-designed Structural Infill for Complex Engineering Structures

Inverse design of high-resolution and fine-detailed 3D lightweight mecha...
research
02/16/2022

Simulation-based Verification of SystemC-based VPs at the ESL

SystemC-based Virtual Prototypes (VPs) at the Electronic System Level (E...
research
10/12/2019

Minimal Assumptions Refinement for GR(1) Specifications

Reactive synthesis is concerned with finding a correct-by-construction c...
research
02/17/2021

Fast Graph Learning with Unique Optimal Solutions

Graph Representation Learning (GRL) has been advancing at an unprecedent...

Please sign up or login with your details

Forgot password? Click here to reset