SIGNAL GRIDv0.1

Show HN: Jacobi–IDE for Abaqus subroutine with analytical tests and AI diagnosis

1 sources1 storiesFirst seen 6/21/2026Score23Mixed Progress
Single Source
CoverageRecencyEngagementVelocityBignessConfidenceClipability
Bigness
23
Coverage
13
Recency
75
Engagement
8
Velocity
0
Confidence
49
Clipability
60
Polarization
0
Claims
3
Contradictions
0
Breakthrough
50

Sentiment Mix

Positive0%
Neutral0%
Negative100%

Geography

North America

Expert Signals

white_tiger

author1 mention

Hacker News

source1 mention

AI-Generated Claims

Generated from linked receipts; click sources for full context.

These are complex multi-physics simulation models using Abaqus Fortran subroutines (UMAT ~ mechanical behavior, UMATHT ~ heat/diffusion and a lot more) that simulate how different material systems fail under high temperature or manufacturing processes.However, the entire process has been quite challenging, 80-90% of time is actually spent on how make Abaqus CAE simulate a physics you already know on paper or what are the correct subroutines and variables you should use.

Supported by 1 story

Huge time is also spent on diving deep into the .sta .msg files to figure out and debug why a simulation failed.

Supported by 1 story

The software or current tooling (IDE ~ which is VS Code etc built for software engineering, not computational physics or mechanics) doesn't tell you why the simulation run into a segmentation error, or warn you when your damage variable being 1 (fully damaged) will lead to a zero division error.

Supported by 1 story

Related Events

Timeline (1 stories)

Receipts (1)

Bias Snapshot

Center
Left 0%Center 100%Right 0%