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eLibrary > BS IEC/IEEE 62704-4:2020 Determining the peak spatial-average specific absorption rate (SAR) in the human body from wireless communication devices, 30 MHz to 6 GHz - General requirements for using the finite element method for SAR calculations >

BS IEC/IEEE 62704-4:2020 Determining the peak spatial-average specific absorption rate (SAR) in the human body from wireless communication devices, 30 MHz to 6 GHz - General requirements for using the finite element method for SAR calculations, 2020

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BS IEC/IEEE 62704-4:2020 Determining the peak spatial-average specific absorption rate (SAR) in the human body from wireless communication devices, 30 MHz to 6 GHz - General requirements for using the finite element method for SAR calculations, 2020

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English [Go to Page]
CONTENTS
FOREWORD
INTRODUCTION
1 Scope
2 Normative references
3 Terms and definitions
4 Abbreviated terms
5 Finite element method – basic description
6 SAR calculation and averaging [Go to Page]
6.1 General
6.2 SAR averaging [Go to Page]
6.2.1 General
6.2.2 Evaluation of psSAR with an FEM mesh
6.3 Power scaling
7 Considerations for the uncertainty evaluation [Go to Page]
7.1 General
7.2 Uncertainty due to device positioning, mesh density, and simulation parameters [Go to Page]
7.2.1 General
Tables [Go to Page]
Table 1 – Budget of the uncertainty contributions of the numerical algorithm and of the rendering of the test-setup or simulation-setup [Go to Page]
7.2.2 Mesh convergence
7.2.3 Open boundary conditions
7.2.4 Power budget
7.2.5 Convergence of psSAR sampling
7.2.6 Dielectric parameters of the phantom or body model
7.3 Uncertainty and validation of the developed numerical model of the DUT [Go to Page]
7.3.1 General
7.3.2 Uncertainty of the DUT model (d ≥ λ/2 or d ≥ 200 mm)
7.3.3 Uncertainty of the DUT model (d < λ/2 and d < 200 mm)
Table 2 – Budget of the uncertainty of the developed model of the DUT [Go to Page]
7.3.4 Phantom uncertainty (d < λ/2 and d < 200 mm)
7.3.5 Model validation
7.4 Uncertainty budget
8 Code verification [Go to Page]
8.1 General [Go to Page]
8.1.1 Rationale
Table 3 – Overall assessment uncertainty budget for the numerical simulation results [Go to Page]
8.1.2 Code performance verification
8.1.3 Canonical benchmarks
8.2 Code performance verification [Go to Page]
8.2.1 Propagation in a rectangular waveguide
Figures [Go to Page]
Figure 1 – Waveguide filled half with free-space (green) and half with dielectric (blue)
Figure 2 – Aligned rectangular waveguide and locations of the sample points E01, E10, E11, E12 and E21 at which the Ex components are recorded
Table 4 – Results of the evaluation of the numerical dispersion characteristicsto be reported for each mesh axis and each orientation of the waveguide for at least three increasing numbers of DoF [Go to Page]
8.2.2 Planar dielectric boundaries
Table 5 – Results of the evaluation of the numerical reflection coefficientto be reported; frequency range is indicated for each value to be reported [Go to Page]
8.2.3 Open boundary conditions
8.3 Weak patch test [Go to Page]
8.3.1 General
8.3.2 Free-space weak patch test
Figure 3 – Weak patch test arrangement: a free-space cubewith edge length L illuminated by a plane wave
Table 6 – Guiding parameters for coarse and fine mesh generationfor the weak patch test
Table 7 – Results of the evaluation of the error measures on the control meshfor the weak patch test for the lowest order
Table 8 – Results of the evaluation of the error measures on the control mesh for the weak patch test for the second lowest order [Go to Page]
8.3.3 Dielectric-layer weak patch test
Figure 4 – Dielectric-layer weak patch test arrangement
Table 9 – Results of the evaluation of the error measures on the control meshfor the weak patch test for the third lowest order
Table 10 – Guiding parameters for coarse and fine mesh generationfor the dielectric-layered weak patch test
Table 11 – Results of the evaluation of error measures on the control meshfor the dielectric-layered weak patch test for the lowest order
Table 12 – Results of the evaluation of error measures on the control mesh for the dielectric-layered weak patch test for the second lowest order
8.4 Verification of the psSAR calculation
8.5 Canonical benchmarks [Go to Page]
8.5.1 Mie sphere
Table 13 – Results of the evaluation of error measures on the control mesh for the dielectric-layered weak patch test for the third lowest order [Go to Page]
8.5.2 Generic dipole
Table 14 – Results of the SAR evaluation of the Mie sphere [Go to Page]
8.5.3 Microstrip terminated with open boundary conditions
Figure 5 – Geometry of the microstrip line
Table 15 – Results of the dipole evaluation [Go to Page]
8.5.4 psSAR calculation SAM phantom / generic phone
8.5.5 Setup for system performance check
Table 16 – Results of the microstrip evaluation
Table 17 – 1 g and 10 g psSAR for the SAM phantom exposed tothe generic phone for 1 W accepted power as specified in [19]
Figure 6 – Geometry of the setup for thesystem performance check according to [21]
Table 18 – Dielectric parameters of the setup (Table 1 of [21])
Table 19 – Mechanical parameters of the setup (Tables 1 and 2 of [21])
Table 20 – 1 g and 10 g psSAR normalized to 1 W accepted powerand feed-point impedance (Table 3 and Table 4 of [21])
Annex A (informative)Fundamentals of the finite element method [Go to Page]
A.1 General
A.2 Model boundary value problem
A.3 Galerkin weak form
A.4 Finite element approximation
A.5 Considerations for using FEM
Annex B (informative)File format for field and SAR data
Annex C (informative)Analytical solution for error calculationin weak patch-test problems [Go to Page]
C.1 Generation of control mesh and FEM field values
C.2 Free-space weak patch test
C.3 Dielectric-layer weak patch test
Bibliography [Go to Page]

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BS IEC/IEEE 62704-4:2020 Determining the peak spatial-average specific absorption rate (SAR) in the human body from wireless communication devices, 30 MHz to 6 GHz - General requirements for using the finite element method for SAR calculations, 2020

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