Impact of high-frequency electromagnetic fields in railway compartment for various numerical models

Abstract The influence of radiofrequency (RF) electromagnetic fields (EMF) on human occupants within shielded regions of railway compartment is being investigated in this study using the CST Studio Suite program. The simulations investigate the specific absorption rate (SAR) for 1 g and 10 g of human tissue in nine carefully selected settings, with a focus on a Planar Inverted-F Antenna (PIFA) operating at 1800 MHz. Within the limited space of the railway wagon compartment, these positions symbolize various spots of the possible human body occurrence. Three human models were analyzed: a multilayer adult model, a child complex model, and an adult female complex model. For the multilayer model, the highest SAR values were 2.41 W/kg for the 1 g method and 0.93 W/kg for the 10 g method. For the child model, SAR values ranged from 1.99 to 2.12 W/kg (1 g method) and from 1.38 to 1.47 W/kg (10 g method), with the highest observed near metallic walls. The adult female model demonstrated distinct SAR patterns, with maximum values of 1.63 W/kg (1 g method) and 0.76 W/kg (10 g method) observed in central compartment positions. Results indicate significant variability in SAR values depending on position and anatomical model, emphasizing the influence of reflection and absorption effects within confined metallic environments.

Authors

Institutions

Publication Details

Journal
Electrical Engineering
Published
2025-05-17
DOI
https://doi.org/10.1007/s00202-025-03124-5
Citations
1
Primary Topic
Electromagnetic Fields and Biological Effects
Type
article
Field-Weighted Citation Impact
1.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of high-frequency electromagnetic fields in railway compartment for various numerical models

Frederika Bačová, Zuzana Pšeňáková, Mariana Beňová, Veronika Wohlmuthová
1 citations
Electrical Engineering
Electromagnetic Fields and Biological Effects
1.63
article

Impact of high-frequency electromagnetic fields in railway compartment for various numerical models

Frederika Bačová, Zuzana Pšeňáková, Mariana Beňová, Veronika Wohlmuthová
article en
1 citations

Abstract

Abstract The influence of radiofrequency (RF) electromagnetic fields (EMF) on human occupants within shielded regions of railway compartment is being investigated in this study using the CST Studio Suite program. The simulations investigate the specific absorption rate (SAR) for 1 g and 10 g of human tissue in nine carefully selected settings, with a focus on a Planar Inverted-F Antenna (PIFA) operating at 1800 MHz. Within the limited space of the railway wagon compartment, these positions symbolize various spots of the possible human body occurrence. Three human models were analyzed: a multilayer adult model, a child complex model, and an adult female complex model. For the multilayer model, the highest SAR values were 2.41 W/kg for the 1 g method and 0.93 W/kg for the 10 g method. For the child model, SAR values ranged from 1.99 to 2.12 W/kg (1 g method) and from 1.38 to 1.47 W/kg (10 g method), with the highest observed near metallic walls. The adult female model demonstrated distinct SAR patterns, with maximum values of 1.63 W/kg (1 g method) and 0.76 W/kg (10 g method) observed in central compartment positions. Results indicate significant variability in SAR values depending on position and anatomical model, emphasizing the influence of reflection and absorption effects within confined metallic environments.

Electrical EngineeringVol. 107(9)
University of Žilina (SK)
Agentúra na Podporu Výskumu a Vývoja
Openalex Percentile: Top 14%
Electromagnetic Fields and Biological Effects
1.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.