ABSTRACT

Steel jacket-type offshore platforms are operating in extreme environmental conditions and are prone to various damages. Thus, using structural health monitoring techniques prevents irreparable damages, long-term out of services, and losses. Several methods, such as physical and data-driven models-based, are presented for damage detection. In this paper, the experimental response of a prototype model with various damage scenarios has been measured. The prototype was excited using an eccentric-mass actuator, and dynamic responses were applied to identify damage locations using the decomposition of the signal energy approach. This approach could overcome the weaknesses of other energy methods. These methods don't demonstrate the location and intensity of damages when a wide range of damages exists in the structure. However, the DSE approach can predict all damages in a prototype with reasonable accuracy. Therefore, the DSE method can be proposed as an acceptable method for structural health monitoring for steel jacket-type offshore platforms.

摘要

钢制导管架式海上平台在极端环境条件下运行，容易发生各种损坏。因此，使用结构健康监测技术可以防止无法弥补的损害、长期停止服务和损失。提出了几种用于损伤检测的方法，例如基于物理和数据驱动模型的方法。在本文中，已经测量了具有各种损坏场景的原型模型的实验响应。使用偏心质量致动器激发原型，并应用动态响应来使用信号能量分解方法识别损坏位置。这种方法可以克服其他能源方法的弱点。当结构中存在大范围的损伤时，这些方法不能显示损伤的位置和强度。然而，DSE 方法可以以合理的精度预测原型中的所有损坏。因此，DSE方法可以作为一种可接受的钢导管架式海上平台结构健康监测方法。