Dataset for "Stochastic modelling of imposed floor loads in modern office buildings"

The dataset contains output from a simulation of the weights on the floor of office buildings, including furniture, stored items and people. The model is based on drawings of modern office layouts, and simulates changes of both furniture and people over time. A large number of samples are taken (100 each day), and the model is run over 1500 years to capture unusual loading events.

This dataset is the complete output from the office imposed floor loading simulations detailed in the paper "Stochastic modelling of imposed floor loads in modern office buildings".

The model samples randomly located areas across an office floor plan, and includes both the sustained loading from furniture and intermittent loading from occupants. The sustained loading is constant (across the full floorplan) between simulated changes of occupancy, which occur once every six year on average. The intermittent loading depends on the randomly sampled daily occupancy scenario, which determines the probability distributions for the area per occupant and maximum occupant number per sampled area. Each day, five samples are taken at random locations for each sample area size, ranging from 5m2 to 100m2 in 5m2 intervals (100 samples per day in total). The model is run for 30x50 year periods, or 547,500 days, creating 54,750,000 samples in total.

The CSV file titled 'Combined_Main_All_Areas' contains the full dataset with default parameters, with each row representing one sample and containing data relating to the:

- Location of the sample
- Room type
- Occupancy scenario
- Sampled number of occupants
- Sustained loading
- Partition loading
- Total loading (pascals)

An additional CSV file titled 'Combined_Main_Yearly.csv contains only the maximum sampled load each year, for a given sample area. For both files, the results for each sampled area from 5 to 100m2 are included sequentially.

Two similar files with an identical format exist for the 'Reduced_Storage' scenario, where the pressure of tall storage furniture items is limited (as described in the accompanying publication).

Keywords:
Structural Engineering, Building reuse, Buildings, Imposed loads
Subjects:
Civil engineering and built environment

Cite this dataset as:
Hawkins, W., Hossell, S., Morris, G., Kjeldsen, T., Orr, J., Watson, D., 2026. Dataset for "Stochastic modelling of imposed floor loads in modern office buildings". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01607.

Export

Data

Combined_Main_All_Areas.csv
text/csv (19GB)
Creative Commons: Attribution 4.0

This file contains the full set of samples, one per row, for the model with default parameters as described in the associated publication. The results for each sampled area size (5 to 100 m2) are included sequentially.

Combined_Main_Yearly.csv
text/csv (11MB)
Creative Commons: Attribution 4.0

This file contains only the maximum sample for each year, for the model with default parameters. The results for each sampled area size (5 to 100 m2) are included sequentially.

Combined_Reduced … Areas.csv
text/csv (20GB)
Creative Commons: Attribution 4.0

This file contains the full set of samples, one per row, for the model with reduced maximum storage loads as described in the associated publication. The results for each sampled area size (5 to 100 m2) are included sequentially.

Combined_Reduced … Yearly.csv
text/csv (11MB)
Creative Commons: Attribution 4.0

This file contains only the maximum sample for each year, for the model with reduced maximum storage loads. The results for each sampled area size (5 to 100 m2) are included sequentially.

Creators

Will Hawkins
University of Bath

Shane Hossell
University of Bath

Grace Morris
University of Bath

John Orr
University of Bath; University of Cambridge

David Watson
AKTII

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

The methodology can be found in the associated paper.

Funders

AKT II

AKTII/British Land loadings study (contract research)

Publication details

Publication date: 22 May 2026
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-01607

URL for this record: https://researchdata.bath.ac.uk/1607

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Will Hawkins

Departments:

Faculty of Engineering & Design
Architecture & Civil Engineering

Research Centres & Institutes
Centre for Regenerative Design & Engineering for a Net Positive World (RENEW)