6. Release Plans¶
The following features are planned to be developed for upcoming releases of R2D app. Development priorities may change depending on feedback from the community and our users. For suggestions or to contribute, we encourage you to reach out via the github discussion page.
6.1. Dec 2024¶
Add Datasets to Simulate Subassembly Damage and Losses Under Wind Demands (1.3.5.1): Incorporation of damage and loss data published in recent Performance-Based Wind Engineering research to facilitate high-resolution wind hazard performance assessments. The data is added to the SimCenter Damage and Loss Model Library.
Model Interdependencies Between Physical Components, Housing, Socio-economic Functions, and Lifelines (1.3.4.6): Incorporation models and simulation programs to capture the interdependencies between physical and socio-economical components.
Add Datasets to Simulate High-Resolution Damages and losses in Transportation Networks (1.3.5.3): Expansion of the SimCenter Damage and Loss Model Library to detailed transportation infrastructure damage and loss models.
Develop and implement metrics and their visualization to inform recovery and community resilience (1.4.3.2): Development of new metrics and visualization tools to support recovery planning and community resilience assessment.
Probabilistic Asset Inventories (1.3.6.2): Calibrate, store, and propagate uncertainties in building features at the regional scale. Probabilistically fill in missing building features using the known information.
Access to Physics-Based Ground Motion Simulation Results (1.1.1.3): Integration of physics-based ground motion simulation data into hazard assessments.
Add Datasets to Simulate Subassembly Damage and Losses Under Water Hazard Demands (1.3.5.2): Expansion of the SimCenter Damage and Loss Model Library to include water hazard-specific damage and loss models.s
6.2. Sept 2025¶
Multi-Fidelity Models in Regional Simulations (1.3.3.1): Introduction of multi-fidelity modeling approaches for enhanced regional simulation capability.
Multi-Scale Models for Wind and Water (1.3.3.2): Development of multi-scale modeling capabilities for wind and water hazard assessment.
Efficient Forward Propagation using Multi-Fidelity Monte-Carlo (1.2.3.1): This feature leverages a small number of high-fidelity model outputs to improve the accuracy of efficient, approximate models, such as surrogates, enhancing performance with minimal computational overhead.
Note
The numbers in parentheses are internal tracking identifiers.