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3 ANOTĀCIJA  4 ACKNOWLEDGEMENTS  5 NOMENCLATURE AND ABBREVIATIONS  9 INTRODUCTION  10 Motivation and scope 10 Aims of the thesis  11 Tasks of the thesis 11 Scientific novelty  11 Practical significance of the thesis  12 Methodology of the research  12 Applicability limitations of the developed methods  13 The arguments for defence of the thesis  13 Structure of the thesis  14 1. TRENDS IN STRUCTURAL DAMAGE ASSESSMENT  15 1.1. Failure modes in polymeric composite structures and pre-stressed concrete sleepers .. 15 1.2. Structural Health Monitoring 18 1.2.1. Active SHM  21 1.2.2. Passive SHM  22 1.3. Vibration-based damage identification  25 1.3.1. Modal methods  26 1.3.2. Continuous wavelet transform  29 1.4. Supervised learning using extraction of damage-sensitive features  33 1.4.1. Classification algorithms k-nearest neighbours  35 1.4.2. Classification algorithms – Linear discriminant  36 1.4.3. Classification algorithms – Decision trees  37 1.4.4. Data partitioning  38 1.4.5. Performance optimization and evaluation  39 2. DAMAGE LOCALIZATION ALGORITHMS 41 2.1 Continuous spatial wavelet transform  41 2.2 Thresholded variance of normalized wavelet scalogram  45 2.3. Mode shape curvature square  46 2.4. Data classification  48 PART I – MODE SHAPE TRANSFORMATIONS  50 3. DAMAGE LOCALIZATION IN 1-D STRUCTURES  51

Structural Damage Identification Based on Mode Shape Transformations and Supervised Learning