A Statistical Approach for Modeling Individual Vertical Walking Forces
This paper proposes a statistical approach for modeling vertical walking forces induced by single pedestrians. To account for the random nature of human walking, the individual vertical walking force is modeled as a series of steps and the gait parameters are assumed to vary at each step. Walking pa...
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MDPI AG
2021
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oai:doaj.org-article:75e2e55527ed4e238c0cd59777267ced2021-11-11T15:15:44ZA Statistical Approach for Modeling Individual Vertical Walking Forces10.3390/app1121102072076-3417https://doaj.org/article/75e2e55527ed4e238c0cd59777267ced2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10207https://doaj.org/toc/2076-3417This paper proposes a statistical approach for modeling vertical walking forces induced by single pedestrians. To account for the random nature of human walking, the individual vertical walking force is modeled as a series of steps and the gait parameters are assumed to vary at each step. Walking parameters are statistically calibrated with respect to the results of experimental tests performed with a force plate system. Results showed that the walking parameters change during walking and are correlated with each other. The force model proposed in this paper is a step-by-step model based on the description of the multivariate distribution of the walking features through a Gaussian Mixture model. The performance of the proposed model is compared to that of a simplified load model and of two force models proposed in the literature in a numerical case study. Results demonstrate the importance of an accurate modeling of both the single step force and the variability of the individual walking force.Fabrizio PancaldiElisa BassoliMassimo MilaniLoris VincenziMDPI AGarticlestatistical load modelpedestriansvertical vibrationsfootbridgesGaussian MixtureTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10207, p 10207 (2021) |
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DOAJ |
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statistical load model pedestrians vertical vibrations footbridges Gaussian Mixture Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 |
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statistical load model pedestrians vertical vibrations footbridges Gaussian Mixture Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Fabrizio Pancaldi Elisa Bassoli Massimo Milani Loris Vincenzi A Statistical Approach for Modeling Individual Vertical Walking Forces |
description |
This paper proposes a statistical approach for modeling vertical walking forces induced by single pedestrians. To account for the random nature of human walking, the individual vertical walking force is modeled as a series of steps and the gait parameters are assumed to vary at each step. Walking parameters are statistically calibrated with respect to the results of experimental tests performed with a force plate system. Results showed that the walking parameters change during walking and are correlated with each other. The force model proposed in this paper is a step-by-step model based on the description of the multivariate distribution of the walking features through a Gaussian Mixture model. The performance of the proposed model is compared to that of a simplified load model and of two force models proposed in the literature in a numerical case study. Results demonstrate the importance of an accurate modeling of both the single step force and the variability of the individual walking force. |
format |
article |
author |
Fabrizio Pancaldi Elisa Bassoli Massimo Milani Loris Vincenzi |
author_facet |
Fabrizio Pancaldi Elisa Bassoli Massimo Milani Loris Vincenzi |
author_sort |
Fabrizio Pancaldi |
title |
A Statistical Approach for Modeling Individual Vertical Walking Forces |
title_short |
A Statistical Approach for Modeling Individual Vertical Walking Forces |
title_full |
A Statistical Approach for Modeling Individual Vertical Walking Forces |
title_fullStr |
A Statistical Approach for Modeling Individual Vertical Walking Forces |
title_full_unstemmed |
A Statistical Approach for Modeling Individual Vertical Walking Forces |
title_sort |
statistical approach for modeling individual vertical walking forces |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/75e2e55527ed4e238c0cd59777267ced |
work_keys_str_mv |
AT fabriziopancaldi astatisticalapproachformodelingindividualverticalwalkingforces AT elisabassoli astatisticalapproachformodelingindividualverticalwalkingforces AT massimomilani astatisticalapproachformodelingindividualverticalwalkingforces AT lorisvincenzi astatisticalapproachformodelingindividualverticalwalkingforces AT fabriziopancaldi statisticalapproachformodelingindividualverticalwalkingforces AT elisabassoli statisticalapproachformodelingindividualverticalwalkingforces AT massimomilani statisticalapproachformodelingindividualverticalwalkingforces AT lorisvincenzi statisticalapproachformodelingindividualverticalwalkingforces |
_version_ |
1718435991459463168 |