Can I modify cross-section geometry programmatically?

Absolutely. You can read station-elevation data into a DataFrame, apply modifications (like lowering a channel), and write it back with automatic bank station interpolation.

How does the skill handle HEC-RAS point limits?

The skill includes logic to validate that cross sections do not exceed the HEC-RAS 450-point limit and provides patterns for geometry simplification.

Does this skill support the latest HEC-RAS versions?

Yes, it is specifically optimized for HEC-RAS 6.x geometry files and handles modern 2D land cover and structure formats.

What structures can I parse with this skill?

It supports a wide range of structures including bridges, culverts (all standard shapes), lateral structures, inline weirs, and storage areas.

Is there a risk of corrupting my HEC-RAS project files?

All write operations performed via this skill automatically create a .bak backup file of the original geometry before any modifications are saved.

HEC-RAS Geometry Parser

Name: HEC-RAS Geometry Parser
Author: gpt-cmdr

bygpt-cmdr

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Data Science & ML

Parses and modifies HEC-RAS plain text geometry files using a Python API designed for hydraulic modeling automation.

About

This skill provides a robust interface for interacting with HEC-RAS plain text geometry files (.g##), handling the complexities of the legacy FORTRAN-based fixed-width format. It enables engineers and developers to programmatically extract, analyze, and modify cross sections, storage areas, bridges, culverts, and Manning's n tables. By automating these manual tasks, the skill facilitates batch modifications, data extraction for reporting, and seamless integration with modern data science workflows, ensuring data integrity through automatic backups and geometric validation.

Key Features

Extract and modify 1D cross-section station-elevation data and bank stations
Parse and update bridge, culvert, and lateral structure geometry
Extract storage area elevation-volume curves and connectivity data
35 GitHub stars
Manage Manning's n roughness tables for both 1D and 2D land cover
Automate geometric validation including point limit checks and bank interpolation

Use Cases

Extracting culvert and bridge inventories for automated engineering reports
Programmatic conversion of legacy .g## files into DataFrames for AI-driven analysis
Batch updating channel elevations or roughness across large hydraulic models

About

Key Features

Extract and modify 1D cross-section station-elevation data and bank stations
Parse and update bridge, culvert, and lateral structure geometry
Extract storage area elevation-volume curves and connectivity data
35 GitHub stars
Manage Manning's n roughness tables for both 1D and 2D land cover
Automate geometric validation including point limit checks and bank interpolation

Use Cases

Extracting culvert and bridge inventories for automated engineering reports
Programmatic conversion of legacy .g## files into DataFrames for AI-driven analysis
Batch updating channel elevations or roughness across large hydraulic models