SimJEB: Simulated Jet Engine Bracket Dataset

TL;DR

SimJEB is a comprehensive, diverse dataset of jet engine brackets with structural simulations, designed to advance geometric deep learning and engineering surrogate modeling by providing complex, realistic, and application-focused models.

Contribution

The paper introduces SimJEB, a new public dataset of 381 complex, realistic jet engine brackets with structural simulations, derived from a large design competition, for use in geometry processing and modeling tasks.

Findings

Provides a diverse set of high-quality models

Includes structural simulations for engineering applications

Facilitates classification and surrogate modeling

Abstract

This paper introduces the Simulated Jet Engine Bracket Dataset (SimJEB): 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.