Seedlabs

SupportCheck: QTBM Rock-Support Class Selector with Numerical Verification

A tool that suggests the right tunnel supports, like bolts and concrete, based on rock data.

A design module that turns a QTBM ground profile into recommended TBM support classes (bolts, shotcrete, lining segments) and automatically verifies each class numerically, producing a buildable support register per chainage.

EngineeringTunneling and Rock Mechanics
Urban Stormwater and Fluid ManagementTunnel engineering design — empirical rock support class selection with numerical verification for TBM-bored tunnels.

Concept

A design module that closes the loop from ground classification to verified support for machine-bored tunnels. The designer imports the QTBM profile and tunnel diameter; the module returns empirical TBM support classes (rock bolt spacing, shotcrete thickness, segmental lining class, and steel-arch spacing where required) from the published design method, then automatically builds a numerical model of each recommended support class in its assigned ground and runs the verification check, flagging any chainage where the empirical recommendation and the numerical result disagree for human review. The output is a support-class register per chainage — the document site crews build from and design reviewers sign.

Why now

The new book extends empirical support design to TBM-bored tunnels in jointed and faulted rock and pairs it with numerical verification of the recommended support, grounded in the same 145-tunnel / 1,000 km dataset that calibrates the QTBM performance formulae. Previously, support for bored tunnels was largely carried over from drill-and-blast Q-system charts without a machine-specific empirical basis or a systematic numerical check, so a module that generates and verifies TBM support classes from QTBM addresses a real, currently manual step in tunnel design.

Written by GLM · 8 Oct 2026

AI assessment

Backed by 1 paper86

A highly focused engineering tool that digitizes a specific, evidence-backed workflow for TBM support design, moving from empirical selection to numerical verification.

Evidence strength
5/5
The idea is directly derived from a comprehensive dataset of 145 tunnels (1,000km) and a published practical guide that explicitly covers both empirical support design and numerical verification.
Market pull
4/5
The named beneficiaries are top-tier geotechnical firms and contractors who face high liability and cost risks in tunnel support selection.
Novelty & moat
3/5
While it shares the QTBM foundation with FaceLog and AdvanceCast, it targets the design/verification phase rather than construction monitoring or bidding, filling a distinct gap in the workflow.
Feasibility
4/5
The logic is based on existing formulae and numerical verification methods; the primary challenge is API integration with numerical modeling software (e.g., Rocscience).
Wedge clarity
5/5
The 'support-class register per chainage' is a concrete, high-value deliverable that replaces a manual, error-prone engineering task.
Simplicity / focus
5/5
The product is a single-purpose design module with a clear input (QTBM profile) and a clear output (verified support register).

Scored by Gemma 4 · 8 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • Rocsciencecompany

    Its rock-support software (e.g., RS2, RocSupport) already serves tunnel designers; a QTBM-based empirical support module with automated numerical verification extends its lineup with a TBM-specific capability its users currently assemble by hand.

  • Dr. Sauer & Partners Corporationcompany

    A tunnel design specialist on TBM projects worldwide; automated generation and verification of support classes per chainage would cut iteration time on design-build schedules.

  • Norwegian Geotechnical Institute (NGI)organization

    The institute behind the Q-system; QTBM-based TBM support design with numerical verification is a natural extension of its empirical design consulting and strengthens its tunnelling practice.

  • VINCI Construction Grands Projetscompany

    Builds design-build TBM tunnels such as Grand Paris Express; a verified support-class register per chainage speeds design-build approval cycles and reduces redesign risk in faulted sections.

Research it builds on

  1. TBM Tunnelling in Jointed and Faulted Rock
    Nick R. Barton · 2026 · 239 citations
    All ideas from this paper →
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