• Impact of Sources of Damping on the Fragility Estimates of Wind Turbine Towers 

    Baisthakur, Shubham; Pakrashi, Vikram; Bhattacharya, Subhamoy; Fitzgerald, Breiffni (The American Society of Mechanical Engineers (ASME), 2024)
    Fragility estimates in wind turbine towers have been investigated but the effect of damping on fragility has not been studied. While damping can often be small, it can come from different sources for a wind turbine. This ...
  • A Mode Sensitivity Enhancement Method for Beam Bridge Using High-Density Strain Feedback 

    Zhou, Zheng; Xu, Qianen; Gao, Qingfei; Liu, Yang (The American Society of Mechanical Engineers (ASME), 2024)
    Closed-loop damage diagnosis method has attracted some attention in recent years; however, for lack of sufficient measuring points, it is difficult to achieve robust control of large structures cause the output dimension ...
  • Complementing Drawability Assessment of Deep-Drawn Components With Surrogate-Based Global Sensitivity Analysis 

    Lehrer, Tobias; Kaps, Arne; Lepenies, Ingolf; Raponi, Elena; Wagner, Marcus; Duddeck, Fabian (The American Society of Mechanical Engineers (ASME), 2024)
    In the early-stage development of sheet metal parts, key design properties of new structures must be specified. As these decisions are made under significant uncertainty regarding drawing configuration changes, they sometimes ...
  • LSTM Neural Networks Using the SMOTE Algorithm for Wind Turbine Fault Prediction 

    Oliveira Schmidt, Júlio; França Aires, Lucas; Hubner, Guilherme Ricardo; Pinheiro, Humberto; Tello Gamarra, Daniel Fernando (The American Society of Mechanical Engineers (ASME), 2024)
    This work proposes a method using a long short-term memory neural network as a diagnostic tool to detect wind turbine rotor mass imbalance. The method uses the synthetic minority oversampling technique for data augmentation ...
  • Filter Approximations for Random Vibroacoustics of Rigid Porous Media 

    Sreekumar, Abhilash; Kougioumtzoglou, Ioannis A.; Triantafyllou, Savvas P. (The American Society of Mechanical Engineers (ASME), 2024)
    An approximate efficient stochastic dynamics technique is developed for determining response statistics of linear systems with frequency-dependent parameters, which are used for modeling wave propagation through rigid ...

View more