塔机广泛应用于建筑和工程领域,其安全性和可靠性对施工效率和人员安全至关重要。在复杂风环境下,风致响应和疲劳寿命是影响塔机性能的关键因素,通过风洞试验、数值模拟和现场监测,深入分析不同风速、风向及工况下的风致响应特性,并基...塔机广泛应用于建筑和工程领域,其安全性和可靠性对施工效率和人员安全至关重要。在复杂风环境下,风致响应和疲劳寿命是影响塔机性能的关键因素,通过风洞试验、数值模拟和现场监测,深入分析不同风速、风向及工况下的风致响应特性,并基于疲劳寿命理论研究塔机在复杂载荷组合下的损伤机制及疲劳寿命预测方法,为设计优化和维护管理提供依据。未来需结合多物理场耦合模型、智能监测技术,完善风致响应与疲劳寿命预测体系,为塔机的安全性评估和使用寿命延长提供更加精准的技术支持。Tower cranes are widely used in construction and engineering fields, where their safety and reliability are critical to construction efficiency and personnel safety. In complex wind environments, wind-induced response and fatigue life are key factors affecting tower crane performance. Through wind tunnel tests, numerical simulations, and field monitoring, the wind-induced response characteristics under various wind speeds, directions, and working conditions are analyzed in depth. Based on fatigue life theory, the damage mechanisms under complex load combinations and fatigue life prediction methods for tower cranes are investigated, providing a foundation for design optimization and maintenance management. In the future, it is necessary to integrate multi-physics coupling analysis, intelligent monitoring technologies, and advanced materials to enhance the wind-induced response and fatigue life prediction systems. This will offer more precise technical support for safety assessments and service life extensions of tower cranes.展开更多
文摘塔机广泛应用于建筑和工程领域,其安全性和可靠性对施工效率和人员安全至关重要。在复杂风环境下,风致响应和疲劳寿命是影响塔机性能的关键因素,通过风洞试验、数值模拟和现场监测,深入分析不同风速、风向及工况下的风致响应特性,并基于疲劳寿命理论研究塔机在复杂载荷组合下的损伤机制及疲劳寿命预测方法,为设计优化和维护管理提供依据。未来需结合多物理场耦合模型、智能监测技术,完善风致响应与疲劳寿命预测体系,为塔机的安全性评估和使用寿命延长提供更加精准的技术支持。Tower cranes are widely used in construction and engineering fields, where their safety and reliability are critical to construction efficiency and personnel safety. In complex wind environments, wind-induced response and fatigue life are key factors affecting tower crane performance. Through wind tunnel tests, numerical simulations, and field monitoring, the wind-induced response characteristics under various wind speeds, directions, and working conditions are analyzed in depth. Based on fatigue life theory, the damage mechanisms under complex load combinations and fatigue life prediction methods for tower cranes are investigated, providing a foundation for design optimization and maintenance management. In the future, it is necessary to integrate multi-physics coupling analysis, intelligent monitoring technologies, and advanced materials to enhance the wind-induced response and fatigue life prediction systems. This will offer more precise technical support for safety assessments and service life extensions of tower cranes.
