CIRS Series – Vol.II.C.03 Food System Structural Architecture
Continuation File:
Vol-II.C.03_Shock_Simulation_and_Cascade_Stress_Modeling.txt Date:
2026-02-15

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TITLE: Shock Simulation and Cascade Stress Modeling Framework

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I. PURPOSE

This document defines the simulation architecture used to test Food
System Durability Index (FSDI) behavior under controlled stress
conditions.

Simulation allows evaluation of:

• Cascade propagation speed • Bottleneck amplification • Redundancy
effectiveness • Buffer absorption duration • Recovery timelines

Simulation strengthens calibration credibility before real-world
disruption occurs.

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II. SIMULATION DESIGN PRINCIPLES

Shock modeling must be:

• Scenario-based • Multi-variable • Regionally adjustable •
Time-sequenced • Reproducible • Transparent in methodology

The objective is stress visibility, not prediction certainty.

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III. PRIMARY SHOCK CATEGORIES

Core shock classes for modeling include:

1.  Processing Disruption Shock (PDS)
2.  Fuel Price Spike Shock (FPS)
3.  Fertilizer Cost Shock (FCS)
4.  Transport Corridor Constraint Shock (TCS)
5.  Labor Disruption Shock (LDS)
6.  Multi-Shock Synchronization Event (MSE)

Each shock is modeled independently and in combination.

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IV. PROCESSING DISRUPTION MODEL

Scenario example:

• 15% regional processing capacity offline • Duration: 14 days •
Immediate throughput shortfall • Rerouting attempts simulated

Metrics evaluated:

• Backlog accumulation rate • Price volatility amplification factor •
Buffer depletion timeline • FSDI score shift magnitude

Recovery curve measured post-restoration.

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V. INPUT VOLATILITY SHOCK MODEL

Scenario example:

• 20% fuel increase over 30-day window • 15% fertilizer cost correlation
• 10% transport rate increase

Model tracks:

• Input Elasticity Score degradation • Cost transmission lag • Producer
margin compression • Price adjustment slope

Correlation sensitivity coefficient becomes central variable.

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VI. CASCADE PROPAGATION COEFFICIENT

Propagation modeled as:

Propagation Rate (PR) = Base Shock × Structural Amplifier ÷ Dampening
Capacity

Structural Amplifier includes:

• Concentration factor • Compression factor • Correlation factor

Dampening Capacity includes:

• Redundancy radius • Buffer margin • Rerouting elasticity • Financial
resilience

Simulation tests how PR changes across fragility bands.

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VII. MULTI-SHOCK SYNCHRONIZATION MODEL

The most severe stress tests simulate synchronized shocks.

Example:

• 10% processing disruption • 20% fuel spike • 15% fertilizer volatility
• Temporary labor constraint

Synchronization reveals nonlinear amplification behavior.

Model evaluates:

• FSDI degradation velocity • Time-to-critical-band transition •
Recovery duration post-shock

This tests cascade containment layers under compound stress.

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VIII. TIME-SEQUENCED RECOVERY MODELING

Recovery modeling tracks:

• Restoration lag • Backlog unwinding rate • Buffer replenishment speed
• Band reclassification timing

Recovery slope indicates true elasticity strength.

Durable systems show:

• Slower degradation • Faster stabilization • Minimal band volatility

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IX. SENSITIVITY ANALYSIS

Sensitivity testing evaluates how small calibration changes affect
simulation outcomes.

Example tests:

• Adjust weight coefficients by ±5% • Modify buffer adequacy by ±10% •
Alter rerouting capacity thresholds

Stable architecture demonstrates minimal classification oscillation
under moderate adjustment.

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X. ANTI-GAMING SIMULATION CONTROLS

Simulation must guard against artificial durability inflation.

Controls include:

• Time-weighted averaging of capacity metrics • Ownership transparency
integration • Functional capacity verification • Cross-variable
consistency checks

Simulated improvements must represent functional resilience, not metric
inflation.

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XI. SIMULATION OUTPUT INTEGRATION

Simulation results inform:

• Threshold recalibration • Weight adjustment validation • Incentive
targeting precision • Legislative defensibility • Pilot region
refinement

Outputs must be published in summary form to preserve transparency.

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XII. STRUCTURAL CONCLUSION

Shock Simulation and Cascade Stress Modeling transform Vol.II.C from
static index calculation into dynamic durability testing.

Simulation ensures:

• Measured fragility visibility • Calibration validation • Threshold
integrity • Cascade containment verification • Recovery elasticity
assessment

Durability becomes testable under controlled stress rather than assumed
under stability.

Vol.II.C now proceeds toward advanced elasticity modeling and
long-horizon structural stress analysis.

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