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

Sls Load Combinations

Computes serviceability limit state load combinations for structural deflection checks using AS/NZS 1170.0 Table 4.1. Determines short-term and long-term combination factors from the imposed-action category, applies them to dead and live loads, adds wind serviceability actions where applicable, and identifies the governing SLS combination for design.

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

Standards

AS/NZS 1170.0

Tags

SLScivildeterministicload-combinationsloadingserviceabilitystructural-actions

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.

2

  • Dead load

    dead_load_kn

    Permanent (dead) load G acting on the member

    1 – 500 kN

  • Live load

    live_load_kn

    Imposed (live) load Q acting on the member

    1 – 400 kN

Derived from scenario

Sampled from the scenario and inferable from its description.

1

  • Load category

    load_category

    Imposed-action category per AS 1170.1 (A = domestic, B = offices, C = public assembly, D = retail, E = storage)

    Derived from the archetype scenario. Hidden at hard difficulty.

    ABCDE

Optional

Used only when the sampled task needs this part of the contract.

1

  • Wind serviceability

    wind_serviceability_kn

    Serviceability wind action W_s on the member (zero if wind not applicable)

    Optional input.

    0 – 150 kN

Scored outputs

6 outputs

Psi s

psi_s

Short-term combination factor from AS/NZS 1170.0 Table 4.1

Scores if within ±1% of the reference value.

Psi l

psi_l

Long-term combination factor from AS/NZS 1170.0 Table 4.1

Scores if within ±1% of the reference value.

Sls short term kn

sls_short_term_kn

Short-term SLS combination G + psi_s * Q (kN)

Scores if within ±3% of the reference value.

Sls long term kn

sls_long_term_kn

Long-term SLS combination G + psi_l * Q (kN)

Scores if within ±3% of the reference value.

Sls wind kn

sls_wind_kn

Wind SLS combination G + psi_s * Q + W_s (kN)

Scores if within ±3% of the reference value.

Governing sls kn

governing_sls_kn

Governing (maximum) SLS combination value (kN)

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.

easy

All inputs given

All parameters given including category, no wind action — straightforward factor lookup and arithmetic

Wind serviceability kn restricted to: {'min': 0.0, 'max': 0.0}

medium

All inputs given

All parameters given, includes wind serviceability actions across multiple categories

hard

Some inputs hidden

Load category hidden — agent must infer the correct psi factors from the building use description

Hidden inputs

  • Load categoryload_category

Prompt replacement text

The member is in a {{ archetype.description }} ({{ archetype.site_context }})

Task bundle

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

/workspace

  • instruction.md
  • sls-load-combinations_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 structural loading and limit state design.2 3## Problem4 5Determine the serviceability limit state (SLS) load combinations for a structural member in accordance with AS/NZS 1170.0 Table 4.1.6 7## Given8 9| Parameter | Value | Unit |10|-----------|-------|------|11| Dead load (G) | {{ dead_load_kn }} | kN |12| Live load (Q) | {{ live_load_kn }} | kN |13{% if wind_serviceability_kn is defined %}14| Serviceability wind action (W_s) | {{ wind_serviceability_kn }} | kN |15{% endif %}16{% if load_category is defined %}17| Imposed-action category | {{ load_category }} | — |18{% endif %}19{% if archetype_description is defined %}20 21### Member Context22 23{{ archetype_description }}24{% endif %}25 26{% if tool_available %}27## Available Tool28 29An SLS load combination calculator is available at `/workspace/sls-load-combinations_calc.py`. Run it with:30 31```bash32python3 /workspace/sls-load-combinations_calc.py --help33```34 35You may use this tool to verify your calculations or compute values directly.36{% endif %}37 38## Required39 40Calculate the following:41 421. Short-term combination factor (psi_s) from Table 4.1432. Long-term combination factor (psi_l) from Table 4.1443. Short-term SLS combination: G + psi_s × Q (kN)454. Long-term SLS combination: G + psi_l × Q (kN)465. Wind SLS combination: G + psi_s × Q + W_s (kN)476. Governing (maximum) SLS combination value (kN)48 49## Applicable Standards50 51- AS/NZS 1170.0 — Structural design actions, Part 0: General principles (Table 4.1)52- AS 1170.1 — Structural design actions, Part 1: Permanent, imposed and other actions (imposed-action categories)53 54## Constraints55 56- No internet access is available. Work from engineering knowledge and the provided tool.57- Use the SLS combination equations from AS/NZS 1170.0 Clause 4.2.2:58 - **Short-term:** G + psi_s × Q59 - **Long-term:** G + psi_l × Q60 - **Wind SLS:** G + psi_s × Q + W_s61- The combination factors psi_s (short-term) and psi_l (long-term) depend on the imposed-action category per AS 1170.1:62 - Category A (domestic/residential): psi_s = 0.7, psi_l = 0.463 - Category B (offices): psi_s = 0.7, psi_l = 0.464 - Category C (public assembly): psi_s = 0.7, psi_l = 0.665 - Category D (shops/retail): psi_s = 0.7, psi_l = 0.466 - Category E (storage): psi_s = 1.0, psi_l = 0.667{% if load_category is not defined %}68- Determine the appropriate imposed-action category from the building use description, then look up the corresponding psi factors.69{% endif %}70{% if wind_serviceability_kn is not defined %}71- If no serviceability wind action is specified, assume W_s = 0 kN (sheltered or internal member).72{% endif %}73- The governing SLS combination is the maximum of all three combination values.74 75## Output Format76 77Show your step-by-step working in Markdown, including factor lookups and intermediate calculations. At the end of your solution, include a JSON block with your final answers in exactly this format:78 79```json80{81 "psi_s": <numeric_value>,82 "psi_l": <numeric_value>,83 "sls_short_term_kn": <numeric_value>,84 "sls_long_term_kn": <numeric_value>,85 "sls_wind_kn": <numeric_value>,86 "governing_sls_kn": <numeric_value>87}88```89 90Write your complete solution to `/workspace/output.md`.91

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.

Residential floor

residential_floor

Residential house floor with light dead load and domestic imposed loads

suburban-house-timber-floortownhouse-concrete-slab
Parameter ranges
dead_load_kn
5 – 30
live_load_kn
3 – 20
wind_serviceability_kn
0
load_category
A

Office floor

office_floor

Office building floor with moderate dead and live loads

cbd-office-tower-floorsuburban-office-park-slab
Parameter ranges
dead_load_kn
20 – 80
live_load_kn
15 – 60
wind_serviceability_kn
0 – 10
load_category
B

Assembly floor

assembly_floor

Public assembly area such as a theatre or restaurant floor

convention-centre-mezzaninestadium-concourse-slab
Parameter ranges
dead_load_kn
25 – 100
live_load_kn
20 – 80
wind_serviceability_kn
0 – 15
load_category
C

Retail floor

retail_floor

Retail/shopping floor with moderate imposed loads

shopping-centre-ground-floormixed-use-retail-podium
Parameter ranges
dead_load_kn
15 – 70
live_load_kn
10 – 50
wind_serviceability_kn
0 – 8
load_category
D

Storage floor

storage_floor

Storage or warehouse floor with heavy imposed loads

logistics-warehouse-slabcold-store-mezzanine
Parameter ranges
dead_load_kn
30 – 150
live_load_kn
40 – 200
wind_serviceability_kn
0 – 5
load_category
E

Exposed office with wind

exposed_office_with_wind

Office building member exposed to serviceability wind on an upper storey

coastal-office-tower-facadehigh-rise-office-beam
Parameter ranges
dead_load_kn
30 – 120
live_load_kn
20 – 80
wind_serviceability_kn
5 – 60
load_category
B

Assembly with wind

assembly_with_wind

Public assembly structure with significant serviceability wind actions

grandstand-roof-beamairport-terminal-long-span
Parameter ranges
dead_load_kn
40 – 200
live_load_kn
30 – 150
wind_serviceability_kn
10 – 80
load_category
C

Example task

cbd-office-tower-floor-office-floor-preview — hard difficulty, some inputs hidden.

Office building floor with moderate dead and live loads. cbd-office-tower-floor. Required outputs: psi_s, psi_l, sls_short_term_kn, sls_long_term_kn, sls_wind_kn, governing_sls_kn

The model sees

Scenario context and visible inputs.

dead_load_kn
20 to 80 kN
live_load_kn
15 to 60 kN
wind_serviceability_kn
0 to 10 kN

Executable tool: sls-load-combinations_calc.py

The model must infer

Inputs withheld at this difficulty.

  • Load category

    load_category

Stand-in text in the prompt

The member is in a {{ archetype.description }} ({{ archetype.site_context }})

The model must produce

The scored JSON answer schema.

{
  "psi_s": <number>,
  "psi_l": <number>,
  "sls_short_term_kn": <number>,
  "sls_long_term_kn": <number>,
  "sls_wind_kn": <number>,
  "governing_sls_kn": <number>
}
  • psi_s · scored within ±1%
  • psi_l · scored within ±1%
  • sls_short_term_kn · scored within ±3%
  • sls_long_term_kn · scored within ±3%
  • sls_wind_kn · scored within ±3%
  • governing_sls_kn · scored within ±3%