Research on the Impact and Risk Assessment of Dynamic Charged Targets on the Static Electricity Characteristics of Gas Stations Based on Numerical Calculation.

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Title: Research on the Impact and Risk Assessment of Dynamic Charged Targets on the Static Electricity Characteristics of Gas Stations Based on Numerical Calculation.
Authors: Liu, Xingmou1 liuxm@cqupt.edu.cn, Ding, Yu2 dingyu202312@163.com, Yang, Ning3 791339327@qq.com, Xiao, Yao4 541294138@qq.com, Jadoon, Ammad5 ammad.jadoon@nfci.et.edu.pk, Sun, Xun6 119674153@qq.com
Source: Engineering Letters. Jul2026, Vol. 34 Issue 7, p2852-2860. 9p.
Subjects: Service stations, Electrostatic fields, Voltage control, Numerical calculations, Human-machine systems, Electrostatic discharges, Dielectric strength, Electrostatics
Abstract: To address the insufficient quantification of dynamic processes in gas station electrostatic risk assessments, this study employs numerical calculation to perform a refined quantitative analysis of the electrostatic field during human-vehicle interactions. Using a three-dimensional model incorporating key dynamic elements, the research reveals that high-risk zones are concentrated in the near-field interaction space, where field enhancement arises from the superposition of capacitive coupling and geometric singularity effects. A multi-parameter sweep was utilized to construct a two-dimensional "distance-voltage-field strength" phase diagram, explicitly delineating safety boundaries for air breakdown. Quantitative evaluations demonstrate that the approach of a human introduces a new equipotential boundary that geometrically constrains the field, causing severe gradient distortion. Furthermore, high initial potentials drastically amplify the absolute spatial gradients, triggering drastic surges in near-field intensity. Consequently, given the objective constraint of operational distances, an "electrostatic potential control" strategy is shown to offer superior engineering robustness over "distance control." Finally, by reconstructing the air gap field and applying dual criteria--electric field breakdown and Minimum Ignition Energy--the physical triggering mechanism of electrostatic accidents was replicated. These findings provide essential quantitative evidence and physical insights for the refined assessment and scientific mitigation of electrostatic risks at gas stations. [ABSTRACT FROM AUTHOR]
Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 195088787
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Research on the Impact and Risk Assessment of Dynamic Charged Targets on the Static Electricity Characteristics of Gas Stations Based on Numerical Calculation.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Xingmou%22">Liu, Xingmou</searchLink><relatesTo>1</relatesTo><i> liuxm@cqupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ding%2C+Yu%22">Ding, Yu</searchLink><relatesTo>2</relatesTo><i> dingyu202312@163.com</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Ning%22">Yang, Ning</searchLink><relatesTo>3</relatesTo><i> 791339327@qq.com</i><br /><searchLink fieldCode="AR" term="%22Xiao%2C+Yao%22">Xiao, Yao</searchLink><relatesTo>4</relatesTo><i> 541294138@qq.com</i><br /><searchLink fieldCode="AR" term="%22Jadoon%2C+Ammad%22">Jadoon, Ammad</searchLink><relatesTo>5</relatesTo><i> ammad.jadoon@nfci.et.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Sun%2C+Xun%22">Sun, Xun</searchLink><relatesTo>6</relatesTo><i> 119674153@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Letters%22">Engineering Letters</searchLink>. Jul2026, Vol. 34 Issue 7, p2852-2860. 9p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Service+stations%22">Service stations</searchLink><br /><searchLink fieldCode="DE" term="%22Electrostatic+fields%22">Electrostatic fields</searchLink><br /><searchLink fieldCode="DE" term="%22Voltage+control%22">Voltage control</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+calculations%22">Numerical calculations</searchLink><br /><searchLink fieldCode="DE" term="%22Human-machine+systems%22">Human-machine systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electrostatic+discharges%22">Electrostatic discharges</searchLink><br /><searchLink fieldCode="DE" term="%22Dielectric+strength%22">Dielectric strength</searchLink><br /><searchLink fieldCode="DE" term="%22Electrostatics%22">Electrostatics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To address the insufficient quantification of dynamic processes in gas station electrostatic risk assessments, this study employs numerical calculation to perform a refined quantitative analysis of the electrostatic field during human-vehicle interactions. Using a three-dimensional model incorporating key dynamic elements, the research reveals that high-risk zones are concentrated in the near-field interaction space, where field enhancement arises from the superposition of capacitive coupling and geometric singularity effects. A multi-parameter sweep was utilized to construct a two-dimensional "distance-voltage-field strength" phase diagram, explicitly delineating safety boundaries for air breakdown. Quantitative evaluations demonstrate that the approach of a human introduces a new equipotential boundary that geometrically constrains the field, causing severe gradient distortion. Furthermore, high initial potentials drastically amplify the absolute spatial gradients, triggering drastic surges in near-field intensity. Consequently, given the objective constraint of operational distances, an "electrostatic potential control" strategy is shown to offer superior engineering robustness over "distance control." Finally, by reconstructing the air gap field and applying dual criteria--electric field breakdown and Minimum Ignition Energy--the physical triggering mechanism of electrostatic accidents was replicated. These findings provide essential quantitative evidence and physical insights for the refined assessment and scientific mitigation of electrostatic risks at gas stations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 2852
    Subjects:
      – SubjectFull: Service stations
        Type: general
      – SubjectFull: Electrostatic fields
        Type: general
      – SubjectFull: Voltage control
        Type: general
      – SubjectFull: Numerical calculations
        Type: general
      – SubjectFull: Human-machine systems
        Type: general
      – SubjectFull: Electrostatic discharges
        Type: general
      – SubjectFull: Dielectric strength
        Type: general
      – SubjectFull: Electrostatics
        Type: general
    Titles:
      – TitleFull: Research on the Impact and Risk Assessment of Dynamic Charged Targets on the Static Electricity Characteristics of Gas Stations Based on Numerical Calculation.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Liu, Xingmou
      – PersonEntity:
          Name:
            NameFull: Ding, Yu
      – PersonEntity:
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            NameFull: Yang, Ning
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            NameFull: Xiao, Yao
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            NameFull: Jadoon, Ammad
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            NameFull: Sun, Xun
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 34
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              Value: 7
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            – TitleFull: Engineering Letters
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