TERRA–RES: A Multi-Layer Digital Twin Framework for Climate-Resilient Urban Infrastructure
Description
This dataset contains the final documentation for the "TERRA–RES" framework, a multi-layer Digital Twin architecture designed for climate-resilient urban infrastructure and sovereign operational continuity. The framework is built upon the UIP-100 Modular Infrastructure Continuity System, ensuring high-level resilience for critical services.The dataset includes:The Core Research Paper: "TERRA–RES: A Multi-Layer Digital Twin Framework for Climate-Resilient Urban Infrastructure Simulation and Multi-Risk Assessment." This document details the integration of energy, water, data, and safety layers, validated through Monte Carlo simulations ($N > 10^3$ runs) on a virtual case study (Pianoro della Civita).Technical Illustration Specifications: A camera-ready guide for Figures 1-10, providing the visual and topological evidence of the system’s architecture, including the AQUAFORTIS water management and FIRETOWER safety protocols.The study demonstrates how distributed underground redundancy and coupled infrastructure modeling can maintain energy service thresholds (MST-E) above 85% and ensure emergency evacuation within a 120-second safety window under extreme multi-hazard conditions (blackouts, drought, and wildfires).
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Methodology and Research WorkflowThe research followed a multi-stage computational and engineering workflow to validate the TERRA–RES framework resilience.1. Framework Architecture & StandardsThe study was modeled according to the UIP-100 Standard (Modular Infrastructure Continuity). The system architecture was divided into four interdependent layers:Layer 1: Energy (CSP + Hydro-Pumped Storage).Layer 2: Water (AQUAFORTIS closed-loop management).Layer 3: Data (Underground fiber-optic redundancy).Layer 4: Safety (FIRETOWER automated wildfire/hazard response).2. Computational Tools & SoftwareDigital Twin Modeling: Developed using CAD/GIS integration for the topological mapping of the "Pianoro della Civita" (Tarquinia) site.Simulation Engine: Custom-built Python scripts were used to model system interdependencies and cascading failure effects.Energy Modeling: Thermal dynamic simulations for the CSP (Concentrated Solar Power) units and hydraulic head calculations for the hydro-storage layer.3. Statistical Validation (Monte Carlo Protocol)To ensure reliability, the data was gathered through a Stochastic Monte Carlo Simulation:Iterations: $N = 1000$ runs per hazard scenario.Variables: Stochastic inputs for solar irradiance, water consumption peaks, and wildfire spread rates.Instruments: Sensitivity analysis was performed to identify the "Criticality Threshold" of the infrastructure layers.4. Data Collection ProtocolThe performance metrics (KPIs) were recorded under three stress-test conditions:Baseline: Normal operational load.External Shock: Extreme weather events (Drought/Heatwave).Multi-Hazard: Simultaneous power grid failure and wildfire proximity.5. Technical SpecificationsThe visual documentation (Figures 1-10) serves as the topological blueprint for reproducing the physical layout of the infrastructure nodes, including the specific depths for underground redundancy to mitigate thermal and mechanical stress.