Radio-frequency human exposure assessment : from deterministic to stochastic methods

목차 (Table of Contents)

• CONTENTS
• Preface = vii
• Chapter 1 Human RF Exposure and Communication Systems = 1
• 1.1 Introduction = 1
• 1.2 Metric and limits relative to human exposure = 3
• 1.2.1 Human RF exposure and specific absorption rate = 3
• 1.2.2 Protection limits = 4
• 1.2.3 Exposure assessment for compliance tests = 10
• 1.2.4 Real exposure assessment = 22
• 1.3 European standards and regulation framework = 36
• 1.4 Conclusion = 39
• Chapter 2 Computational Electromagnetics Applied to Human Exposure Assessment = 41
• 2.1 Introduction = 41
• 2.2 Finite difference in time domain to solve the Maxwell equations = 42
• 2.2.1 Introduction = 42
• 2.2.2 Stability, dispersion and accuracy = 47
• 2.2.3 Boundary conditions = 49
• 2.2.4 FDTD approach to thin wires and layers = 52
• 2.2.5 Power and impedance in FDTD = 58
• 2.2.6 FDTD and the Huygens box = 63
• 2.2.7 Near to far transformation and power radiated assessment = 69
• 2.3 FDTD and human exposure assessment = 71
• 2.3.1 SAR estimation using FDTD = 71
• 2.3.2 Anatomical numerical human models = 73
• 2.3.3 Heterogeneous and dispersive biological tissues = 84
• 2.3.4 FDTD sub-gridding and hybridization = 88
• 2.4 RF exposure assessment = 103
• 2.4.1 RF exposure to far source = 103
• 2.4.2 Exposure induced by a source in the near field = 106
• 2.4.3 Exposure induced by a source with tissues in the reactive field = 109
• 2.5 Conclusion = 117
• Chapter 3 Stochastic Dosimetry = 119
• 3.1 Motivations = 119
• 3.2 The challenge of variability for numerical dosimetry = 120
• 3.3 Stochastic dosimetry and polynomial chaos expansion = 122
• 3.3.1 Surrogate models and numerical dosimetry = 122
• 3.3.2 Example of basic surrogate modeling in dosimetry = 124
• 3.4 PC and numerical dosimetry = 125
• 3.5 Calculation of the PC coefficients = 131
• 3.5.1 Coefficient assessment using spectral projection = 131
• 3.5.2 Coefficient assessment using regression = 134
• 3.6 Design of experiments = 135
• 3.7 Predictive model validation = 140
• 3.8 Surrogate modeling for dosimetry = 142
• 3.8.1 Surrogate modeling with full PCE basis = 142
• 3.8.2 Surrogate modeling with sparse PCE basis = 144
• 3.8.3 Stochastic dosimetry and SAR uncertainty linked to the phone position = 147
• 3.9 SA and signature of the PC = 150
• 3.9.1 SA and Sobol indices = 150
• 3.9.2 Sensitivity of SAR linked to the phone position = 152
• 3.9.3 PC signature = 153
• 3.10 Parsimonious quintile estimation = 155
• 3.11 Conclusion = 155
• Conclusion = 157
• Bibliography = 159
• Index = 179