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NHERI-SimCenter/pelicun: v3.5

Abstract

Version 3.5.0 (February 4, 2025) Added Power Network Infrastructure Support: Added comprehensive support for power network assessments including: Power Fragility Models: New fragility models for power substations, circuits, and generation facilities Power Auto-population: Extended auto-population scripts to recognize power network assets and map them to appropriate archetypes Power Units: Added support for power-related units including 'kW' and 'MW' with proper unit conversions Wind Demand Recognition: Added wind demands to the list of recognized Engineering Demand Parameters (EDPs), expanding multi-hazard assessment capabilities. Line Force Units: Added support for line forces in the default units configuration, enabling proper conversion and handling of forces distributed along a line (e.g., N/m, kN/m). This enhancement improves the modeling of structural components where distributed loads are relevant. Submodule Integration: Transitioned to using submodule resource files for better resource management and version control of damage and loss model libraries. Enhanced Loss Processing: Improved loss aggregation and processing capabilities: Comprehensive Loss Results: Enhanced DL_calculation to save additional information about component-level losses, making it easier to trace the contribution of individual components to the total loss. Grouped Loss Statistics: Added capability to save grouped loss statistics when running regional simulations Changed Input Validation Flexibility: Added more flexibility in input validation by allowing Distribution and Theta_1 to be missing for CollapseFragility and Replacement consequences, with sensible defaults applied automatically. GitHub Workflows: Updated GitHub Actions workflows to: Initialize submodules at checkout for proper resource file handling Use trusted publisher approach for PyPI deployment Improve documentation build and deployment processes Code Quality Improvements: Enhanced code quality through: Comprehensive type annotations and checking throughout the codebase Enhanced random variable parameter handling when sampling from distributions. DLML Resource Management: Updated Damage and Loss Model Library (DLML) resource paths and submodule pointers to the most recent version. Fixed Bug Fixes: Resolved several critical issues: Irreparable Damage Handling: Fixed bug ensuring no component losses are counted on top of replacement when damage is irreparable Exponentiation Operator: Fixed incorrect exponentiation operator usage in power network damage model autopopulation script Anchor Property Validation: Improved anchor property parser to throw appropriate errors for invalid inputs Bridge Modeling: Fixed marginal case handling for single span bridges longer than 150m Water Network Fragility Database Updates: Updated water network damage databases with corrected fragility parameters Custom Model Directory Handling: Improved custom_model_dir functionality to only check for custom model directories when the path actually contains the placeholder CustomDLDataFolder. Archetype ID Corrections: Fixed typos in archetype IDs, including correcting "EP.C" to "EP.G" and ensuring proper capitalization in base ID strings for power network assets. Input Validation: Replaced checking for falsy values with explicit checks for None to prevent unexpected behavior with zero values. Documentation and Formatting: Fixed various documentation issues, indentation bugs in YAML files, and applied consistent code formatting using ruff. Unit Test Fixes: Resolved unit test issues and formatting problems to ensure reliable testing.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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