Abstract Numerous constructed jacket platforms in the Persian Gulf require continuous monitoring due to aging which poses a significant hazard to the environment. The main aim of this study is to sketch a health monitoring system to address the problem of limitations and shortcomings of sensor networks and also to solve the localization problem. In order to achieve this goal, experimental modal analysis (EMA) is performed on a physical model of an offshore jacket platform to develop a numerically updated finite element model. Both traditional and improved Cross-Model Cross-Mode (CMCM) iteration algorithms are employed for this purpose and different model order reduction methods are compared in terms of their effects on the structural dynamic behavior of the case-study (SPD8 jacket platform). A new formulation is also proposed for the first time to compare the results of damage scenarios using both iteration algorithms. The effectiveness of the methodology in practical cases is also assessed by considering various numbers of sensors. According to the results, the improved iteration technique eliminates the detrimental impacts of the model reduction procedure on the proposed methodology, and physical parameters such as length, type, and location of a member play significant roles in the success of a damage detection scenario.

中文翻译：

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一种改进的基于模型约简模态的海上导管架式平台模型更新与健康监测方法

摘要 在波斯湾建造的许多导管架平台由于老化而需要持续监测，这对环境构成了重大危害。本研究的主要目的是勾画一个健康监测系统，以解决传感器网络的局限性和缺点问题，并解决定位问题。为了实现这一目标，对海上导管架平台的物理模型进行实验模态分析 (EMA)，以开发数值更新的有限元模型。为此目的，采用了传统和改进的交叉模型交叉模式 (CMCM) 迭代算法，并比较了不同模型降阶方法对案例研究（SPD8 导管架平台）结构动力学行为的影响。还首次提出了一种新的公式来比较使用两种迭代算法的损伤场景的结果。该方法在实际案例中的有效性也通过考虑不同数量的传感器来评估。根据结果​​，改进的迭代技术消除了模型简化程序对所提出方法的不利影响，并且构件的长度、类型和位置等物理参数在损坏检测场景的成功中起着重要作用。