dc.contributor.author | Shahabpoor, E | |
dc.contributor.author | Pavic, A | |
dc.contributor.author | Racic, V | |
dc.date.accessioned | 2017-06-26T10:48:11Z | |
dc.date.issued | 2017-01-20 | |
dc.description.abstract | Predicting the effect of walking traffic on structural vibrations is a great challenge to designers of pedestrian structures, such as footbridges and floors. This is mainly due to the lack of adequate design guidelines, which in turn can be blamed on poor research findings. Even the fundamental data are very rare and limited. This study proposes a new and more reliable method for serviceability assessment of the vertical vibrations induced by multi-pedestrian walking traffic. Key novelties include modelling the natural variability of the walking forces and the human bodies, as well as their individual interaction with the supporting structure at their moving location. Moreover, a novel approach to vibration serviceability assessment (VSA) is proposed based on the actual level of vibration experienced by each pedestrian, rather than the typical maximum vibration response at a fixed point. Application of this method on two full-scale footbridge structures have shown that, with a suitable calibration of human model parameters, the proposed method can predict the occupied structure modal frequency with less than 0.1% error and - more importantly - modal damping ratio with less than 1% error. The new method also estimated the structural responses with considerably less error (5–10%) compared to a selection of current design guidelines (200–500%). The proposed VSA method is not suitable for hand-based calculations. However, if coded and materialised as a user-friendly software, it can be incorporated into design guidelines and used by consultants in everyday engineering practice. | en_GB |
dc.description.sponsorship | The authors acknowledge the financial support, which came from the University of Sheffield doctoral scholarship for Dr Shahabpoor and the UK Engineering and Physical Sciences Research Council (EPSRC) for the following research grants:
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Platform Grant EP/G061130/2 (Dynamic performance of large civil engineering structures: an integrated approach to management, design and assessment);
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Standard Grant EP/I029567/1 (Synchronization in dynamic loading due to multiple pedestrians and occupants of vibration-sensitive structures); and
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Frontier Engineering Grant EP/K03877X/1 (Modelling complex and partially identified engineering problems: Application to the individualized multiscale simulation of the musculoskeletal system). | en_GB |
dc.identifier.citation | Vol. 136, pp. 295 - 311 | en_GB |
dc.identifier.doi | 10.1016/j.engstruct.2017.01.030 | |
dc.identifier.uri | http://hdl.handle.net/10871/28180 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights | 2017 (c) The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://
creativecommons.org/licenses/by/4.0/). | en_GB |
dc.subject | Human-induced vibration | en_GB |
dc.subject | Walking human model | en_GB |
dc.subject | Pedestrian traffic | en_GB |
dc.subject | Footbridge | en_GB |
dc.title | Vibration Serviceability of Pedestrian Structures in Vertical Direction including Human-structure Interaction: New Statistical Framework for Assessment | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2017-06-26T10:48:11Z | |
dc.identifier.issn | 0141-0296 | |
dc.description | Article | en_GB |
dc.description | This is the author accepted manuscript. The final version is freely available from Elsevier via the DOI in this record. | en_GB |
dc.identifier.journal | Engineering Structures | en_GB |