🌊 Namazu

Tensor Simulator ← API Docs
Step 1
Building Class
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Step 2
Shake Data
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Step 3
TGL Algorithm
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Step 4
Generate .nmz
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Step 5
Simulate Scenario
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1 Select Building Class

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2 Shake Data

Real building data
3.11 Tōhoku
Nankai Trough
Paste raw sensor data from your building's IoT sensors or ZweiMedia export. Floor 1 data is sufficient to generate an initial tensor.
2011 Tōhoku earthquake — M9.0, recorded ground motion data. Your building's tensor will be tested against this event.

This scenario uses historical waveform data from the 3.11 event. The system will apply it to your building class model.

Nankai Trough — anticipated M8.0–M9.1 megathrust earthquake. Synthetic scenario based on current fault models.

Use this to simulate "what if Nankai Trough hit my building?" after generating your building's tensor from real data.

3 Select TGL Algorithm

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Custom TGL — upload .py or paste GitHub URL custom

4 Generate Building Tensor (.nmz)

The TGL will process your shake data and identify the structural tensor — stiffness and damping coefficients between floors — for your building class.