orcaflex-extreme-analysis

name	orcaflex-extreme-analysis
description	Extract extreme response values with linked statistics from OrcaFlex simulations. Use for design load identification, max/min extraction with associated values, and extreme event characterization.
type	reference
version	1.0.0
updated	"2026-01-17T00:00:00.000Z"
category	engineering
triggers	["extreme analysis","max tension","linked statistics","extreme values","design loads","maximum response","associated values","peak extraction"]
capabilities	[]
requires	[]
tags	[]
scripts_exempt	true

Orcaflex Extreme Analysis

When to Use

• Extracting maximum/minimum values from simulations
• Identifying design loads for structural analysis
• Finding associated values at extreme events
• Characterizing vessel motions at peak tensions
• Riser curvature at maximum tension conditions
• Wave conditions at extreme responses
• Multi-variable correlation at extremes

Prerequisites

• OrcaFlex simulation results (.sim files)
• Python environment with digitalmodel package installed
• Knowledge of variables to extract (object names, variable names)

Python API

Basic Linked Statistics

from digitalmodel.orcaflex.opp_linkedstatistics import OPPLinkedStatistics

# Initialize extractor
extractor = OPPLinkedStatistics()

# Configure extraction
config = {
    "primary": {
        "object": "Mooring_Line_1",

*See sub-skills for full details.*
### Direct OrcFxAPI Usage

```python
import OrcFxAPI
from pathlib import Path

def extract_extremes_with_linked(sim_file: str, config: dict) -> dict:
    """
    Extract extreme values with linked statistics.

    Args:
        sim_file: Path to .sim file

*See sub-skills for full details.*
### Batch Extreme Analysis

```python
from digitalmodel.orcaflex.opp_linkedstatistics import OPPLinkedStatistics
from pathlib import Path
import pandas as pd

def batch_extreme_analysis(sim_directory: str, config: dict) -> pd.DataFrame:
    """
    Extract extremes from multiple simulations.
    """
    extractor = OPPLinkedStatistics()

*See sub-skills for full details.*
### Range Graph Extremes

```python
from digitalmodel.orcaflex.opp_range_graph import OPPRangeGraph

# Extract range graph (min/max/mean along arc length)
range_extractor = OPPRangeGraph()

config = {
    "object": "Riser",
    "variables": ["Effective Tension", "Curvature", "Bend Moment"],
    "arc_length_range": [0, 1500]  # meters

*See sub-skills for full details.*

## Related Skills

- [orcaflex-post-processing](../orcaflex-post-processing/SKILL.md) - General post-processing
- [orcaflex-operability](../orcaflex-operability/SKILL.md) - Multi-sea-state analysis
- [orcaflex-results-comparison](../orcaflex-results-comparison/SKILL.md) - Compare multiple results
- [fatigue-analysis](../fatigue-analysis/SKILL.md) - Fatigue from time histories

## References

- OrcaFlex Results: Linked Statistics
- OrcFxAPI Documentation
- Source: `src/digitalmodel/modules/orcaflex/opp_linkedstatistics.py`
- Source: `src/digitalmodel/modules/orcaflex/opp_range_graph.py`

## Sub-Skills

- [Basic Extreme Extraction (+1)](basic-extreme-extraction/SKILL.md)
- [Variable Selection (+2)](variable-selection/SKILL.md)

## Sub-Skills

- [Error Handling](error-handling/SKILL.md)

## Sub-Skills

- [Version Metadata](version-metadata/SKILL.md)
- [[1.0.0] - 2026-01-17](100-2026-01-17/SKILL.md)
- [Linked Statistics (+1)](linked-statistics/SKILL.md)
- [Linked Statistics CSV (+1)](linked-statistics-csv/SKILL.md)
- [1. Design Load Identification (+2)](1-design-load-identification/SKILL.md)