Principal component analysis of the cross-axis apparent mass nonlinearity during whole-body vibration
- Submitting institution
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University of Portsmouth
- Unit of assessment
- 12 - Engineering
- Output identifier
- 25202361
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2020.107008
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- 107008
- First page
- -
- Volume
- 146
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This recent collaboration with the University of Southampton improved the understanding of the frequency and magnitude dependency of the nonlinear human response to motion - a key step for modelling ride quality and safety of all transportation systems. The study significantly reduces the computational costs compared to its nonlinear counterpart and numerical modelling approach, enhancing the robustness in determining key contributors of the motion transmission path. Applications of the study are of interest to RNLI (Pete_Sheppard@rnli.org.uk), Allsalt Maritime Corporation (tomgunston@allsalt.com) and the British Standardisation Institution.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -