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On Random Spatial Distribution of Active Crowds on Grandstands and Their Effects on Dynamic Response

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F17%3A00318154" target="_blank" >RIV/68407700:21110/17:00318154 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1877705817340626" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1877705817340626</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.proeng.2017.09.544" target="_blank" >10.1016/j.proeng.2017.09.544</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Random Spatial Distribution of Active Crowds on Grandstands and Their Effects on Dynamic Response

  • Original language description

    Active spectators on grandstands can induce wide palette of loads ranging from handclapping or swaying to bobbing or synchronized jumping. Each of these loads may differ in its intensity, frequency range, and level of synchronization. All these aspects render the process of predicting the behaviour and performance of grandstands difficult, requiring proper modelling techniques. Although grandstands themselves can be successfully modelled by finite element method, the situation with human-induced loading is less transparent, and mathematical description of load have evolved over the years from equivalent static load through deterministic approximations in time and frequency domain to Monte Carlo (MC) generators. In this contribution, the most intensive kind of human activity exercised on grandstands—synchronized jumping—is focused on. In particular, the response of grandstands loaded by jumping active crowds that are randomly distributed in space is investigated. For simplicity, no passive spectators are considered. Two modelling approaches are used. First, direct MC simulation provides a reference solution. Second, a semianalytical formulation employing theory of random processes provides response estimates and simplifying formulas. Finally, both approaches are demonstrated and compared on a simple example.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20102 - Construction engineering, Municipal and structural engineering

Result continuities

  • Project

    <a href="/en/project/GA15-15728S" target="_blank" >GA15-15728S: Analysis of grandstand structures</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Procedia Engineering

  • ISBN

  • ISSN

    1877-7058

  • e-ISSN

    1877-7058

  • Number of pages

    6

  • Pages from-to

    2838-2843

  • Publisher name

    Elsevier Ltd

  • Place of publication

    Oxford

  • Event location

    Řím

  • Event date

    Sep 10, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000422868902163