Failure of machine learning models to generalize to new data is a core problem limiting the reliability of AI systems, partly due to the lack of simple and robust methods for comparing new data to the original trainin...
This research aims to improve the plasma cutting process to increase the efficiency of the process by applying the MES system (Manufacturing Execution systems). This study focused on increasing efficiency in the plasm...
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In modern wireless communication systems using multiple antenna elements, accurately identifying the signals contained in the received signal is very important. Conventional signal number estimation algorithms operate...
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This paper is to perform the structural analysis for support structure of offshore wind turbine under Taiwan's local environmental conditions such as earthquake and site specific soil properties. The analyzed supp...
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This paper is to perform a series of fatigue analyses for reference offshore wind turbine (OWT) under Taiwan local environmental conditions to investigate the potential design load cases (DLCs) which could affect the ...
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This paper is to perform fatigue analysis of the jacket-type support structure for NREL 5MW reference offshore wind turbine (OWT). As a successive work to the preceding support structure design of the NREL 5MW offshor...
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Some offshore wind turbines might be constructed in seismically active regions, the impact of earthquake loading on design and operation of offshore wind turbines has to be taken into consideration. Site-specific envi...
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This paper is to perform the Jacket support structure design analysis for a 5MW reference offshore wind turbine of IEA OC4 project using API RP 2A-WSD and NORSOK N-004 design standards. The analysis is conducted by a ...
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The advancement of alloys and steel in engineering highlights the critical need for robust methods to ensure structural integrity. While traditional Non-Destructive Testing and Evaluation (NDT/E) techniques provide va...
The advancement of alloys and steel in engineering highlights the critical need for robust methods to ensure structural integrity. While traditional Non-Destructive Testing and Evaluation (NDT/E) techniques provide valuable insights, they often fail to detect pre-existing stress conditions that contribute to fatigue cracks. Recent approaches have addressed this limitation by analyzing stress and strain at the grain level using advanced measurement systems—often based on diffraction techniques—integrated with Finite Element Method (FEM) and Digital Image Correlation (DIC) platforms. However, the application of these techniques for in-service inspections remains limited by challenges in accessibility, cost, and scalability. To overcome these issues, an integrated 2D surface system combining optical microscopy with DIC and grain-level analysis within the FEM framework is proposed. This method enables efficient visualization of grain-level deformation and stress distribution, thereby providing deeper insights into the microstructural behavior of polycrystalline materials under external loads. The proposed methodology is theoretically outlined and validated through simulations and experimental analyses, demonstrating its potential as a practical solution for in-service inspections. Ultimately, this approach is expected to advance inspection techniques by offering an accessible and scalable tool for monitoring microstructural behavior and identifying potential failure mechanisms through surface analysis.
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