Essays about: "Bridge Structural Health Monitoring"

Showing result 1 - 5 of 7 essays containing the words Bridge Structural Health Monitoring.

  1. 1. 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

  2. 2. 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

  3. 3. 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

  4. 4. Static and Dynamic Analysis of Älvsbacka Timber Bridge

    University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

    Author : FATIH YILMAZ; [2012]
    Keywords : Timber Bridge; Simulation; Static Dynamic Analyzes; FEM Analyzes; Modal Analyzes.;

    Abstract : ABSTRACT This thesis is part of a research project in the company of SP, Sweden to investigate the static and dynamic behaviors of Älvsbacka Timber Bridge that known as ‘a smart bridge’. In this context the investigation of project was carried out with simulations and experiments. READ MORE

  5. 5. Damage detection on railway bridges using Artificial Neural Network and train induced vibrations

    University essay from KTH/Bro- och stålbyggnad; KTH/Bro- och stålbyggnad

    Author : Jiangpeng Shu; Ziye Zhang; [2012]
    Keywords : Damage detection; Railway Bridge; Dynamic Response; high-speed trains; Statistical Property; Artificial Neural Network ANN ;

    Abstract : A damage detection approach based on Artificial Neural Network (ANN), using the statistics of structural dynamic responses as the damage index, is proposed in this study for Structural Health Monitoring (SHM). Based on the sensitivity analysis, the feasibility of using the changes of variances and covariance of dynamic responses of railway bridges under moving trains as the indices for damage detection is evaluated. READ MORE