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Quickstart — your first calculation in 5 minutes

In 5 minutes you see LiquiTer NX working on a sample dataset.

1. Open the app

Go to nx.geostru.ai/liquiter/.

2. Load the sample dataset

Top toolbar → File → Open → "Sample data".

LiquiTer immediately loads a typical stratigraphy (saturated silty sand over gravel) with realistic seismic parameters (Italian seismic zone 2).

3. Inspect the results

In a few seconds LiquiTer:

  • Computes CSR (Cyclic Stress Ratio) and CRR (Cyclic Resistance Ratio) for each depth
  • Computes the safety factor FSL = CRR / CSR layer by layer
  • Computes the Liquefaction Potential Index LPI (Iwasaki et al. 1982)
  • Estimates post-seismic settlements with Ishihara-Yoshimine

You see:

  • Results table: for each depth step shows σ_v, σ'_v, r_d, CSR, CRR, FSL and the verdict (liquefiable / non-liquefiable)
  • FSL vs z plot: vertical profile of the safety factor with the FSL = 1 threshold highlighted
  • LPI banner: 0 (no risk) — 5 (low risk) — 15 (medium) — >15 (high)

4. Change method and compare

At the top, in Analysis method, try:

  • Seed (1971) — the classic, on SPT
  • Tokimatsu (1983) — on SPT, distinguishes clean / silty sands
  • Boulanger-Idriss (2014) — on CPT (qc), the most recent
  • Andrus-Stokoe — on Vs (shear-wave velocity)

Each method returns a slightly different FSL: comparing them helps you gauge how robust the conclusion is.

5. Export

Top toolbar → Export:

  • Word report (.docx) — technical report with tables, charts, parameters and conclusions
  • CSV — raw data (depth, CSR, CRR, FSL) for further analysis in Excel / Python

Next steps

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