How far can the beam under a two-span joist sit from the middle of the house?
research/house-unequal
How far can the beam under a two-span joist sit from the middle of the house? Bending-governed floor joists lose 0.4% of total width at a short/long span ratio of 0.9 and 13% at 0.5 (the short span relieves the long one); deflection-governed ceiling joists lose about 5% per 0.1 of ratio. A 2x10 floor can have its beam 3.5 ft off the middle of a 28 ft house. Stylised; not a design.
What it found
Two-span sawn-lumber joists (SPF No. 2) with unequal spans, reusing the finite-element beam of house-continuous and the NDS checks of house-spans with pattern loading and per-span deflection. For a 2x10 floor joist at 16 in, moving the beam off-centre costs 0.4% of total clear width at a short/long span ratio of 0.9, 4.3% at 0.7 and 13.3% at 0.5, because the short span relieves the long one (the long span grows from 15 ft 3 in to 17 ft 7 in); a 2x8 ceiling joist, which deflection governs, loses 5.1% at 0.9 and 24.1% at 0.5. A 28 ft wide house tolerates a beam 3.5 ft off the middle. Stylised. Not validated against published span tables, two spans only, no vibration, and not a design anyone should build from without a licensed review. The short span's end lifts off its support whenever live load is on the long span only (−103 lb per joist at a 10 ft short span, −271 lb at 6 ft; 2x10 floor).
A figure from its own output
Paper, code and results
More in Open-source residential construction
- Can a house plan be data, and which plan needs the least framing lumber per square foot?Can a house plan be data, and which plan needs the least lumber per sq ft? Parametric one-storey plan to framing takeoff, bill of materials, room-rule checks and IFC4; best plans use 4.8 to 5.2 bf/sq ft at 640 to 1,024 sq ft with none feasible by stick framing at 1,400; local search hits the exhaustive optimum in 36 of 40 runs where random search hits none. Stylised, not a design.
- Where does a new home's price go, and which levers move it most?Where does a new home's price go, and which levers move it most? Share-anchored model (NAHB 2024): size moves the price most (87.8 to 112.0 for 1,600 to 2,400 sq ft), then storeys, finish level and lot; a 14% framing-lumber cut is worth 0.85% of price (2.4% with labour). Index not dollars, assumed driver splits. Milestone 4 of track 12.
- Does the house-cost lever ranking survive its assumed driver splits?Does the house-cost lever ranking survive its assumed driver splits? Monte Carlo over the splits: floor area stays the largest lever in 96–100% of draws; storeys is the soft claim (swing 9.0–19.9 vs 14.0 baseline); the lumber result does not move. Index not dollars.
- Which uncertain input of the house-cost model drives the uncertainty in a house's price?Which uncertain input of the house-cost model drives a house's price uncertainty? Sobol indices over every lever range, the framing share and the driver splits at once: floor area 53% of variance, storeys 19%, all framing inputs together under 1%. Index not dollars.
- Which envelope upgrades pay for themselves over 30 years, by climate, and does advanced framing belong in the answer?Which envelope upgrades pay back over 30 years, by climate? A degree-day net-present-cost search of 640 packages in eight climates: advanced 2x6 framing is in every optimum (13–15% lower cost than a 2x4 baseline); better windows and R-49 attics do not pay at assumed prices. Stylised, assumed prices, not EnergyPlus.
- Does any alternative to a wood-framed wall beat it on cost, carbon or heat loss for a small house?Does any alternative to a wood-framed wall beat it on cost, carbon or heat loss for a small house? In a stylised model wood 2x6 is cheapest in 97% of random draws and lowest-carbon in 100%; SIP, CLT and printed walls win only on labour. Inputs are ranges from memory.
All 41 Open-source residential construction projects →
Other research topics
Proper scoring & elicitation28Effort & peer prediction9Verification games & slashing19Detection & tolerances14Markets as routers13Prediction-market design9Paying contributors8Decentralised training systems23Digital twins & sim-to-real164LLM chip design loops40Robot manufacturing loops53Ambient AI assistant46Self-replicating manufacturing34Simulation-first design64Engineered clothing45Task-specific AI accelerators40Algorithmic chip-design loops42Open-source purpose-built robots44The software-engineering loop43Adversarial human imitation41Open-source residential construction41Autonomous multi-angle capture34Sensing, imaging and 3D31Energy supply and dense energy storage39Robot societies among people31Agentic co-design of low-cost robots27Laundry-hanging robots25Machine learning on qualitative data23Robots on the building site27Civilizations & group psychology1History & human sciences1
Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.