Identification of walking human model using agent-based modelling
- Submitting institution
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University of Exeter
- Unit of assessment
- 12 - Engineering
- Output identifier
- 2085
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2017.10.028
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 352
- Volume
- 103
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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D - Dynamics and Control
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Pioneering agent-based modelling of groups of walking humans, funded by EPSRC (£518k EP/I029567/1), took for the first time into account (1) the exact time-varying location of each human body and (2) the level of vibration at that location. This was used to determine and validate experimentally statistical distributions of the natural frequency and damping of the walking mass-spring-damper human body. CTS Bridges Ltd (sally.preston@ctsbridges.co.uk) and AKT II (alessandro.margnelli@akt-uk.com) use this methodology to design footbridge and ultra-lightweight floor structures for vibration serviceability taking into account the beneficial effects of the human-structure interaction, currently not accounted for by any relevant design guideline.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -