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Visar resultat 1 - 5 av 26 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Mapping of Dependent Structural Responses on a Prestressed Concrete Bridge using Machine Learning Regression Analysis and Historical Data : A Comparison of Different Non-linear Regression Approaches

    L1-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Vedad Coric; [2023]
    Nyckelord :Prestressed Concrete Bridges; Structural health Monitoring; Machine Learning; Regression analysis; Infrastructure management;

    Sammanfattning : Prestressed concrete bridges are susceptible to deterioration over time which might significantly affect their capacity and overall performance. In previous decades, infrastructure owners have found that continuous monitoring of these assets is a valuable tool for their management as it facilitates the decision-making process regarding the intervention strategies required. LÄS MER

  3. 2. Characterisation of an Additively Manufactured Self-Sensing Material Using Carbon Fibre Sensors

    Master-uppsats, Luleå tekniska universitet/Rymdteknik

    Författare :Alain Williamson; [2023]
    Nyckelord :Additive Manufacturing; Self-Sensing Material; Carbon Fibre Sensors; Structural Health Monitoring; Space Applications; 3D-Printed Continuous Carbon Fibre Filament; Strain Sensor; Mechanical Properties; Electromechanical Properties; Tensile Strength; Failure Strain; Base Resistance; Gauge Factor; Linearity; Systematic Literature Review; Material Selection; Mechanical Design; Material Development; Feasibility Study;

    Sammanfattning : Increasing demand for structural health monitoring in space highlights the need to make the creation of these systems more accessible. This study investigates the potential of additive manufacturing to achieve this goal by characterizing a self-sensing material made of a commercially available 3D-printed continuous carbon fibre filament. LÄS MER

  4. 3. Application of Lamb waves using piezoelectric technique for structure health monitoring

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Simon Mauritz; [2023]
    Nyckelord :Structural health monitoring SHM ; damage detection; Lamb waves; piezoelectric PZT ; printed circuit board PCB ; circuit simulation; Strukturell hälsoövervakning SHM ; skadedetektering; Lambvågor; piezoelektrisk PZT ; printed circuit board PCB ; kretssimulering;

    Sammanfattning : Structural health monitoring (SHM) is damage detection strategy for aerospace, civiland mechanical infrastructure. This project tries to show that Lamb waves, that are being generated and sensed with piezoelectric transducers, can be used for damage detection in a SHM system. LÄS MER

  5. 4. U - Net Based Crack Detection in Road and Railroad Tunnels Using Data Acquired by Mobile Device

    Master-uppsats, KTH/Geoinformatik

    Författare :Kepan Gao; [2022]
    Nyckelord :U-Net; deep learning; tunnel monitoring; structural health monitoring; crack detection; mobile mapping system;

    Sammanfattning : Infrastructures like bridges and tunnels are significant for the economy and growth of countries, however, the risk of failure increases as they getting aged. Therefore, a systematic monitoring scheme is necessary to check the integrity regularly. LÄS MER

  7. 5. Development of a model-free damage detection algorithm using AR-models and its application to a riveted steel railway bridge

    Master-uppsats, KTH/Bro- och stålbyggnad

    Författare :Mattis Johannes Frenz; [2022]
    Nyckelord :;

    Sammanfattning : Bridges are one of the most important structures in our infrastructural system today.The modern society depends on these structures which in majority are nearingthe end of their design life. Therefore, the need for monitoring of bridges is increasing. LÄS MER