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

Effective Wind Area

Calculates effective wind area for cladding or supporting-member pressure checks from panel dimensions, support span, tributary width, and an explicit minimum area. The template reports panel area, member tributary area, governing effective area, and the ratio to the minimum pressure area.

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

5 inputs

Always given

Included directly in every task prompt.

5
  • Panel width

    panel_width_m

    Cladding panel width

    0.2 – 6 m
  • Panel height

    panel_height_m

    Cladding panel height

    0.2 – 6 m
  • Supporting member span

    supporting_member_span_m

    Span of supporting member

    0.5 – 12 m
  • Tributary width

    tributary_width_m

    Tributary width to supporting member

    0.2 – 6 m
  • Minimum effective area

    minimum_effective_area_m2

    Minimum effective area used for pressure coefficient selection

    0.1 – 10 m2

Scored outputs

4 outputs

Panel area m2

panel_area_m2

Cladding panel area

Scores if within ±3% of the reference value.

Member tributary area m2

member_tributary_area_m2

Supporting member tributary area

Scores if within ±3% of the reference value.

Effective wind area m2

effective_wind_area_m2

Effective wind area for pressure coefficient selection

Scores if within ±3% of the reference value.

Area averaging ratio

area_averaging_ratio

Effective area divided by minimum effective area

Scores if within ±3% 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 small cladding panel
medium:
All parameters given across small and large facade areas
hard:
All parameters given for large facade support areas

Task bundle

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

/workspace

  • instruction.md
  • effective-wind-area_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 facade wind loading.2 3## Problem4 5Calculate effective wind area for pressure coefficient selection from cladding panel dimensions and supporting-member tributary area.6 7## Given8 9| Parameter | Value | Unit |10|-----------|-------|------|11| Panel width | {{ panel_width_m }} | m |12| Panel height | {{ panel_height_m }} | m |13| Supporting member span | {{ supporting_member_span_m }} | m |14| Tributary width | {{ tributary_width_m }} | m |15| Minimum effective area | {{ minimum_effective_area_m2 }} | m2 |16 17{% if archetype_description is defined %}18### Facade Context19 20{{ archetype_description }}21{% endif %}22 23{% if tool_available %}24## Available Tool25 26An effective wind area calculation tool is available at `/workspace/{{ meta.name }}_calc.py`. Run it with:27 28```bash29python3 /workspace/{{ meta.name }}_calc.py --help30```31 32You may use this tool to verify your calculations or compute values directly.33{% endif %}34 35## Required36 37Calculate the following:38 391. Cladding panel area (m2)402. Supporting member tributary area (m2)413. Effective wind area (m2)424. Area averaging ratio43 44## Constraints45 46- No internet access is available. Work from engineering knowledge and the provided tool.47- Use panel area = panel width x panel height.48- Use member tributary area = supporting member span x tributary width.49- Use effective wind area = max(panel area, member tributary area, minimum effective area).50- Use area averaging ratio = effective wind area / minimum effective area.51 52## Output Format53 54Show 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:55 56```json57{58 "panel_area_m2": <numeric_value>,59 "member_tributary_area_m2": <numeric_value>,60 "effective_wind_area_m2": <numeric_value>,61 "area_averaging_ratio": <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.

Small cladding panel

small_cladding_panel

Small facade cladding panel on closely spaced supports

commercial-facadestation-glazing
Parameter ranges
panel_width_m
0.6 – 1.5
panel_height_m
0.8 – 2.5
supporting_member_span_m
1.5 – 4
tributary_width_m
0.6 – 1.5
minimum_effective_area_m2
0.5 – 1

Large curtain wall bay

large_curtain_wall_bay

Large curtain wall bay with long support spans

high-rise-curtain-wallairport-terminal-facade
Parameter ranges
panel_width_m
1.2 – 3
panel_height_m
2 – 4.5
supporting_member_span_m
3 – 8
tributary_width_m
1.2 – 3
minimum_effective_area_m2
0.8 – 2

Example task

high-rise-curtain-wall-large-curtain-wall-bay-previewhard difficulty, all inputs given.

Large curtain wall bay with long support spans. high-rise-curtain-wall. Required outputs: panel_area_m2, member_tributary_area_m2, effective_wind_area_m2, area_averaging_ratio

The model sees

Scenario context and visible inputs.

panel_width_m
1.2 to 3 m
panel_height_m
2 to 4.5 m
supporting_member_span_m
3 to 8 m
tributary_width_m
1.2 to 3 m
minimum_effective_area_m2
0.8 to 2 m2

Executable tool: effective-wind-area_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.

{
  "panel_area_m2": <number>,
  "member_tributary_area_m2": <number>,
  "effective_wind_area_m2": <number>,
  "area_averaging_ratio": <number>
}
  • panel_area_m2 · scored within ±3%
  • member_tributary_area_m2 · scored within ±3%
  • effective_wind_area_m2 · scored within ±3%
  • area_averaging_ratio · scored within ±3%