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doctoral thesis
Stohastičko-deterministički model za procjenu izloženosti ljudi poljima antena baznih stanica
2023. urn:nbn:hr:179:401186
Galić, Marin
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Galić, M. (2023). Stohastičko-deterministički model za procjenu izloženosti ljudi poljima antena baznih stanica (Doctoral thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:401186

Galić, Marin. "Stohastičko-deterministički model za procjenu izloženosti ljudi poljima antena baznih stanica." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:179:401186

Galić, Marin. "Stohastičko-deterministički model za procjenu izloženosti ljudi poljima antena baznih stanica." Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:179:401186

Galić, M. (2023). 'Stohastičko-deterministički model za procjenu izloženosti ljudi poljima antena baznih stanica', Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 15 November 2024, https://urn.nsk.hr/urn:nbn:hr:179:401186

Galić M. Stohastičko-deterministički model za procjenu izloženosti ljudi poljima antena baznih stanica [Doctoral thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2023 [cited 2024 November 15] Available at: https://urn.nsk.hr/urn:nbn:hr:179:401186

M. Galić, "Stohastičko-deterministički model za procjenu izloženosti ljudi poljima antena baznih stanica", Doctoral thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:179:401186

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Metadata
TitleStohastičko-deterministički model za procjenu izloženosti ljudi poljima antena baznih stanica
Title (english)Stochastic-deterministic Model for the Assessment of Human Exposure to Fields from Base Station Antennas
AuthorMarin Galić
MentorDragan Poljak https://orcid.org/0000-0003-1205-4842 (mentor)
Committee memberZoran Blažević https://orcid.org/0000-0001-5405-8003 (predsjednik povjerenstva)
Committee memberZvonimir Šipuš https://orcid.org/0000-0002-7608-6408 (član povjerenstva)
Committee memberVicko Dorić https://orcid.org/0000-0003-2222-8957 (član povjerenstva)
Committee memberMaja Škiljo (član povjerenstva)
Committee memberMario Cvetković https://orcid.org/0000-0003-4889-7796 (član povjerenstva)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2023, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electronics
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
U svrhu zaštite ljudi od mogućeg štetnog utjecaja, ali i kontinuiranog praćenja razina, od interesa su proračuni i mjerenja jakosti EM polja u okolini baznih stanica. Osim referentnih fizikalnih veličina (jakost električnog i magnetskog polja i gustoća snage) u svrhu određivanja razine izloženosti prikladno je razmatrati i dozimetrijske veličine kao što su razina specifične apsorpcije i gustoća transmitirane snage. U ovoj doktorskoj disertaciji ispitane su mjerne metode koje se koriste u postupcima mjerenja razina EM polja u okolini baznih stanica. Uz mjerenje, proveden je i proračun razina polja korištenjem više modela proračuna koji osim direktnog snopa zračenja u obzir uzimaju i komponentu EM polja reflektiranu iznad dvoslojne vodljive podloge. Osim determinističkih slučajeva, provedena je i stohastička analiza u vidu kvantifikacije nesigurnosti ulaznih varijabli nužnih za valjano izvođenje proračuna polja. Stohastičkim metodama Monte Carlo i stohastičkom kolokacijom, određene su srednje vrijednosti i standardno odstupanje razina polja u okolini stvarne bazne stanice, a analizom varijanci utvrđena je pojedinačna i skupna razina utjecaja ulaznih varijabli na izlaznu veličinu od interesa, tj. jakost električnog polja. Uz razmatranje vanjskog polja, razvijen je i model unutarnjeg polja u vidu određivanja razine specifične apsorpcije, odnosno gustoće transmitirane snage unutar dvoslojnog tkiva. U okviru stohastičkog dijela modela unutarnjeg polja, kvantifikacija nesigurnosti ulaznih parametara provedena je primjenom stohastičke kolokacije za varijable kojima se opisuju parametri tkiva (specifična vodljivost, relativna permitivnost i debljina) te pripadna analiza osjetljivosti.
Abstract (english)
For the purpose of human protection from possible harmful effects, but also for the purpose of continuous monitoring of field levels, calculation and measurement of electromagnetic fields in the vicinity of base stations are required. Apart from reference levels (electric and magnetic field intensity and power density) it is convenient to consider dosimetric quantities such as specific absorption rate and transmitted power density for the purpose of the assessment of exposure levels. This thesis deals with measurement methods used for the field levels in the vicinity of base stations. Calculation of field levels is carried out using multiple models taking into account not only direct, but also the reflected wave component, respectively, from the two-layer conducting half-space. In addition to deterministic cases, stochastic analysis is undertaken by performing uncertainty quantification of input variables necessary for the field calculations. Mean and standard deviation are determined by using Monte Carlo and Stochastic Collocation, while analysis of variance is used to determine individual and mutual influence of input variables to the output of interest, i.e. electric field intensity. In addition to the consideration of the external fields, a model for the assessment of the internal field is developed aiming to determine specific absorption rate and transmitted power density, respectively, within the two-layer tissue model. Within the framework of stochastic model of the internal field, uncertainty quantification of the input parameters is carried out via stochastic collocation for variables describing the tissue properties (specific conductivity, relative permittivity and tissue layer thickness) and sensitivity analysis, as well.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:401186
Promotion2023
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika (doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika)
Type of resourceText
Extent180 str.
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-13 11:17:45