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The report involves the application and testing of dynamics concepts through the use of 3D-printed components. It includes various challenges promoting innovation and critical thinking. Challenge 1 focused on exploring angular motion through the design of a 3D-printed wheel. In Challenge 2, a shake table was developed by creating a reciprocating mechanism that converted rotational-to-linear motion. The kinematic relations of the 3D model were derived from the geometry of the mechanism to meet a targeted acceleration. Challenge 3 applied structural dynamics concepts by designing columns of a structure to meet a natural frequency. Challenge 4 built upon previous challenges to test a structure and shake table under forced vibrations. The results from the experiment were used to analyze the dynamic response of a structural system. The challenges integrated 3D design and mathematical modeling to understand the importance of dynamic behaviors in structural engineering.The 3D-printing Dynamics Design (3D3) Competition intends to train School of Civil Engineering & Environmental Science (CEES) undergraduates at the University of Oklahoma in fundamental concepts related to vibrations, structural dynamics, and earthquake engineering through a semester-long, hands-on competition run in parallel with Introduction to Dynamics for Architectural and Civil Engineers (CEES 3263). Competition participants, or 3D3 Scholars, design, build, and test a bench-scale shake table using 3D-printed components. The designs of these shake tables are published here, along with all the STL files needed for teachers or students elsewhere to fabricate the tables. Also, the data collected during the challenges is published.
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SimJEB: Simulated Jet Engine Bracket Dataset
Abstract This paper introduces the Simulated Jet Engine Bracket Dataset (SimJEB) [WBM21]: a new, public collection of crowdsourced mechanical brackets and accompanying structural simulations. SimJEB is applicable to a wide range of geometry processing tasks; the complexity of the shapes in SimJEB offer a challenge to automated geometry cleaning and meshing, while categorical labels and structural simulations facilitate classification and regression (i.e. engineering surrogate modeling). In contrast to existing shape collections, SimJEB's models are all designed for the same engineering function and thus have consistent structural loads and support conditions. On the other hand, SimJEB models are more complex, diverse, and realistic than the synthetically generated datasets commonly used in parametric surrogate model evaluation. The designs in SimJEB were derived from submissions to the GrabCAD Jet Engine Bracket Challenge: an open engineering design competition with over 700 hand‐designed CAD entries from 320 designers representing 56 countries. Each model has been cleaned, categorized, meshed, and simulated with finite element analysis according to the original competition specifications. The result is a collection of 381 diverse, high‐quality and application‐focused designs for advancing geometric deep learning, engineering surrogate modeling, automated cleaning and related geometry processing tasks.
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- Award ID(s):
- 1854833
- PAR ID:
- 10447940
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- Computer Graphics Forum
- Volume:
- 40
- Issue:
- 5
- ISSN:
- 0167-7055
- Page Range / eLocation ID:
- p. 9-17
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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