<p>This study investigates the fatigue performance of bolted flange connections in wind turbine towers by examining the effects of bolt size and number under variable wind speeds. A simulation framework integrating TurbSim, FAST, and ANSYS Workbench was developed not only to evaluate fatigue behavior, but also to provide a reference methodology for future studies in similar structural applications. Three standard bolt sizes (M36, M42, M48) were analyzed across multiple configurations. Results show that increasing the number of bolts leads to a nonlinear and significant improvement in fatigue life. For example, increasing M48 bolts from 120 to 160 improved fatigue life by over 1000% at a 5&#xa0;m/s wind speed. An interesting hypothesis derived from the results suggests that increasing one bolt size may produce a fatigue improvement comparable to adding approximately 30 smaller bolts, highlighting a promising direction for future validation and design optimization.</p>

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Investigating fatigue life in bolted flange connection in wind turbine towers

  • Abdullah Salameh,
  • Jamil Renno,
  • Khaled Ali,
  • Hassan Kandil,
  • Ahmed Mohamed

摘要

This study investigates the fatigue performance of bolted flange connections in wind turbine towers by examining the effects of bolt size and number under variable wind speeds. A simulation framework integrating TurbSim, FAST, and ANSYS Workbench was developed not only to evaluate fatigue behavior, but also to provide a reference methodology for future studies in similar structural applications. Three standard bolt sizes (M36, M42, M48) were analyzed across multiple configurations. Results show that increasing the number of bolts leads to a nonlinear and significant improvement in fatigue life. For example, increasing M48 bolts from 120 to 160 improved fatigue life by over 1000% at a 5 m/s wind speed. An interesting hypothesis derived from the results suggests that increasing one bolt size may produce a fatigue improvement comparable to adding approximately 30 smaller bolts, highlighting a promising direction for future validation and design optimization.