LIVEdataset aec-bench@releasetasks 552models 18last submission · built
structuralwith-tool

Mooring Line Capacity

Calculates design line tension from explicit mooring line tension, dynamic factor, and consequence factor, then compares the result with minimum breaking load. The template reports capacity margin, reserve capacity, utilisation, and a numeric pass flag.

with-tool: The model is given an executable Python calculator script.

How this task is generated

One template produces many comparable benchmark tasks while keeping the scoring contract fixed.

  1. 01

    Template

    The reusable contract shown on this page.

  2. 02

    Scenario

    An archetype and site context are sampled.

  3. 03

    Difficulty tier

    Inputs may be hidden at harder tiers.

  4. 04

    Task prompt

    The model responds with the declared outputs.

Parameters

Inputs the model receives, and the outputs it is scored on.

Inputs

4 inputs

Always given

Included directly in every task prompt.

4
  • Line tension

    line_tension_kn

    Characteristic mooring line tension

    10 – 5000 kN
  • Dynamic factor

    dynamic_factor

    Dynamic amplification factor applied to line tension

    1 – 2.5
  • Consequence factor

    consequence_factor

    Consequence factor applied to design tension

    1 – 2
  • Mbl

    mbl_kn

    Minimum breaking load of the mooring line

    100 – 20000 kN

Scored outputs

5 outputs

Design tension kn

design_tension_kn

Design mooring line tension

Scores if within ±3% of the reference value.

Capacity margin ratio

capacity_margin_ratio

Ratio of minimum breaking load to design tension

Scores if within ±3% of the reference value.

Reserve capacity kn

reserve_capacity_kn

Minimum breaking load minus design tension

Scores if within ±3% of the reference value.

Utilisation ratio

utilisation_ratio

Ratio of design tension to minimum breaking load

Scores if within ±3% of the reference value.

Passes capacity check

passes_capacity_check

Numeric pass flag: 1 if design tension is within capacity, otherwise 0

Scores if within ±1% of the reference value.

Difficulty

Each template is sampled at three tiers. Harder tiers may hide inputs, forcing the model to infer them from the scenario description.

All inputs remain visible at every tier

For this template, difficulty scales through parameter and scenario ranges rather than hidden information.

easy:
All parameters given for a service berth mooring line
medium:
All parameters given across service and bulk berth lines
hard:
All parameters given for a bulk berth mooring line

Task bundle

The exact instruction and parameter contract used to generate this task, pinned to the published library source.

/workspace

  • instruction.md
  • mooring-line-capacity_calc.py

Teal lines show Jinja input conditions, not task visibility policy. A line renders only when that input or tool is visible.

1You are a senior structural engineer specializing in marine mooring checks.2 3## Problem4 5Calculate the design tension in a mooring line and check it against the line minimum breaking load.6 7## Given8 9| Parameter | Value | Unit |10|-----------|-------|------|11| Line tension | {{ line_tension_kn }} | kN |12| Dynamic factor | {{ dynamic_factor }} | - |13| Consequence factor | {{ consequence_factor }} | - |14| Minimum breaking load | {{ mbl_kn }} | kN |15 16{% if archetype_description is defined %}17### Structural Context18 19{{ archetype_description }}20{% endif %}21 22{% if tool_available %}23## Available Tool24 25A mooring line capacity calculation tool is available at `/workspace/{{ meta.name }}_calc.py`. Run it with:26 27```bash28python3 /workspace/{{ meta.name }}_calc.py --help29```30 31You may use this tool to verify your calculations or compute values directly.32{% endif %}33 34## Required35 36Calculate the following:37 381. Design tension as line tension multiplied by dynamic factor and consequence factor392. Capacity margin ratio as minimum breaking load divided by design tension403. Reserve capacity as minimum breaking load minus design tension414. Utilisation ratio as design tension divided by minimum breaking load425. Pass flag, where 1 means design tension does not exceed minimum breaking load and 0 means it exceeds it43 44## Constraints45 46- No internet access is available. Work from engineering knowledge and the provided tool.47- Use only the explicit factors provided in the prompt.48- Do not infer extra reduction factors, safety factors, or load combinations.49- Treat the pass flag as numeric: 1 for pass, 0 for fail.50 51## Output Format52 53Show your step-by-step working in Markdown. At the end of your solution, include a JSON block with your final answers in exactly this format:54 55```json56{57 "design_tension_kn": <numeric_value>,58 "capacity_margin_ratio": <numeric_value>,59 "reserve_capacity_kn": <numeric_value>,60 "utilisation_ratio": <numeric_value>,61 "passes_capacity_check": <numeric_value>62}63```64 65Write your complete solution to `/workspace/output.md`.66

Scenario archetypes

Each generated task is drawn from one of these realistic scenario bands.

Site contexts ground each scenario in a real locale the model can use to infer hidden values.

Service berth line

service_berth_line

Service berth mooring line capacity check

service-wharfferry-terminal
Parameter ranges
line_tension_kn
50 – 800
dynamic_factor
1.05 – 1.5
consequence_factor
1 – 1.3
mbl_kn
500 – 5000

Bulk berth line

bulk_berth_line

Bulk berth mooring line capacity check

bulk-export-berthindustrial-port-wharf
Parameter ranges
line_tension_kn
500 – 3500
dynamic_factor
1.1 – 2
consequence_factor
1.1 – 1.6
mbl_kn
4000 – 18000

Example task

bulk-export-berth-bulk-berth-line-previewhard difficulty, all inputs given.

Bulk berth mooring line capacity check. bulk-export-berth. Required outputs: design_tension_kn, capacity_margin_ratio, reserve_capacity_kn, utilisation_ratio, passes_capacity_check

The model sees

Scenario context and visible inputs.

line_tension_kn
500 to 3500 kN
dynamic_factor
1.1 to 2 -
consequence_factor
1.1 to 1.6 -
mbl_kn
4000 to 18000 kN

Executable tool: mooring-line-capacity_calc.py

The model must infer

Inputs withheld at this difficulty.

Nothing. All inputs are supplied.

The model must produce

The scored JSON answer schema.

{
  "design_tension_kn": <number>,
  "capacity_margin_ratio": <number>,
  "reserve_capacity_kn": <number>,
  "utilisation_ratio": <number>,
  "passes_capacity_check": <number>
}
  • design_tension_kn · scored within ±3%
  • capacity_margin_ratio · scored within ±3%
  • reserve_capacity_kn · scored within ±3%
  • utilisation_ratio · scored within ±3%
  • passes_capacity_check · scored within ±1%