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sQUANTUM STRUCTURAL MODELLING

WHAT: Quantum Structural Modelling (sINFRASTRUCTURE)

Definition
A system that models, simulates, and optimises physical infrastructure (bridges, buildings, grids) using:

  • Classical physics (finite element models)
  • Real-time sensor data (IoT)
  • AI prediction models
  • Quantum / quantum-inspired optimisation

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WHY: PROBLEM & VALUE

Problems today

  • Static design assumptions
  • Limited scenario exploration
  • Slow optimisation (huge combinatorial space)
  • Reactive maintenance

What this solves

  • Real-time structural intelligence
  • Faster optimisation of designs
  • Predictive failure detection
  • Extreme scenario simulation (earthquake, load spikes)

Strategic value

  • Cost reduction (materials + maintenance)
  • Safety improvements
  • Infrastructure lifespan extension
  • New class of “self-optimising structures”

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HOW: SYSTEM ARCHITECTURE

A. Core Layers

  1. Structural Data Layer
  2. Physics Engine (Classical Core)

  3. AI Layer

  4. Quantum / Optimisation Layer

  5. Digital Twin Layer

  6.  Dashboard Layer

 

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QUANTUM OPTIMISATION EXAMPLE

Problem:

Minimise material cost while maintaining safety

Variables:

  • x1 = steel thickness
  • x2 = support density

Objective:

 

Minimise: Cost(x1,x2) + Risk(x1,x2)

 

Quantum-style formulation:

  • Convert to QUBO
  • Solve using:
    • D-Wave (annealing)
    • QAOA simulator
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