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Showing result 1 - 5 of 9 essays matching the above criteria.

  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

    University essay from Umeå universitet/Institutionen för datavetenskap

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Bro- och stålbyggnad

    Author : Mattis Johannes Frenz; [2022]
    Keywords : ;

    Abstract : 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. READ MORE

  4. 3. Quantifying uncertainty in structural condition with Bayesian deep learning : A study on the Z-24 bridge benchmark

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : David Steinar Asgrimsson; [2019]
    Keywords : Bayesian Deep Learning; Autoencoders; Bridge Structural Health Monitoring; Bridge Damage Detection;

    Abstract : A machine learning approach to damage detection is presented for a bridge structural health monitoring system, validated on the renowned Z-24 bridge benchmark dataset where a sensor instrumented, threespan bridge was realistically damaged in stages. A Bayesian autoencoder neural network is trained to reconstruct raw sensor data sequences, with uncertainty bounds in prediction. READ MORE

  5. 4. Model-Free Damage Detection for a Small-Scale Steel Bridge

    University essay from KTH/Bro- och stålbyggnad

    Author : Aaron Ruffels; [2018]
    Keywords : damage detection; structural health monitoring; machine learning; artificial neural network; model bridge;

    Abstract : Around the world bridges are ageing. In Europe approximately two thirds of all railway bridges are over 50 years old. As these structures age, it becomes increasingly important that they are properly maintained. If damage remains undetected this can lead to premature replacement which can have major financial and environmental costs. READ MORE

  6. 5. Structural Health Monitoring of Bridges using Machine Learning : The influence of Temperature on the health prediction

    University essay from KTH/Bro- och stålbyggnad

    Author : Elisa Khouri Chalouhi; [2016]
    Keywords : Damage detection; Structural Health Monitoring; Machine learning; Artificial Neural Network; Railway bridge; Environmental conditions.;

    Abstract : A method that uses machine learning to detect and localize damage in railway bridges under various environmental conditions is proposed and validated in this work. The developed algorithm uses vertical and lateral deck accelerations as damage- sensitive features. READ MORE