Machine Learning for Steel Engineering

Predict Steel Structural Behavior in Seconds

A suite of ML-powered engineering tools — from high-temperature strength and buckling capacity to AI-driven structural crack monitoring — delivering instant, research-backed results without slow FEA setup.

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6
PREDICTION TOOLS
Instant
NO FEA SETUP
Peer‑Reviewed
RESEARCH-BACKED
ML-Powered Predictions
Trained on engineering data
Instant Results
No FEA model setup needed
Research-Backed
Developed at Ataturk University Teknokent
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Our Software

Prediction Tools for Steel Structures

Purpose-built machine learning applications that deliver fast, reliable estimates for common steel design problems.

$299
SteelTemp
High-Temperature Strength

Predicting high-temperature strength of steels using machine learning.

Details
$499
SigmaBuckling
Impact-Induced Stress

Predicting impact-induced stress in steel columns using ML and section-based modeling.

Details
$499
OmegaBuckling
Buckling Capacity

Section-based buckling capacity prediction of rack uprights using machine learning.

Details
$299
StiffPredict
Connection Stiffness

Rotational stiffness prediction of rack beam-to-upright connections using machine learning.

Details
$399
BeamCap
Beam Load Capacity

Instantly calculates a beam's load-carrying capacity based on span, section, and material.

Details
How It Works

From Sign-Up to Prediction in Minutes

1
Create Your Account

Register for free and request a demo of any tool — demo requests are fulfilled within 24 hours.

2
Enter Your Parameters

Define your section geometry, material properties, and loading conditions in a simple interface.

3
Get Instant Predictions

Receive machine learning predictions instantly — no meshing, no solver runs, no waiting.

Not sure which tool fits your project?

Try a free demo, or get in touch with our engineering team — we're happy to help you choose.

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