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Evaluation of methods to remove inertial force from measured model wave impact force signals

机译：从测量的模型波冲击力信号中消除惯性力的方法的评估

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摘要

The subject of wave impact on offshore structures and their components is important to vessel designers and operators for many reasons. They are often required to quantify these impact loads. Standard methods for wave load prediction will underestimate the forces on these structures due to intermittent loading. This necessitates the use of physical model tests to establish wave impact loads. The model measurement systems are designed to have high stiffness. This ensures that the natural frequency of the structure is above the wave frequency. However, it is widely believed that impacting waves contain high-frequency energy components that cause the structure to vibrate at its modal frequencies. This impact-induced vibration is recorded by the measuring system as a force (inertial force), and corrupts the actual applied force measurement. Before scaling can occur, the inertial force must be removed from the measured signal. A number of techniques for removing inertial force from measured signals are described in the published literature. Three methods are discussed, implemented and compared in this paper. The algorithms and procedures are presented. Each technique contains inherent and unique problems, while some are common to all methods. Neither of the techniques produced results that are fully satisfactory. The main problem is unwanted high-frequency content after the application of the methods. While neither method offers the perfect solution, the use of digital filtering techniques is recommended based on their relative performance and ease of implementation.
机译：由于许多原因，波浪对海上结构及其部件的影响对于船舶设计者和操作者来说很重要。通常需要它们来量化这些冲击载荷。波浪载荷预测的标准方法会由于间歇载荷而低估了这些结构上的力。这需要使用物理模型测试来建立波浪冲击载荷。模型测量系统设计为具有高刚度。这样可以确保结构的固有频率高于波浪频率。但是，人们普遍认为，冲击波包含导致结构以模态频率振动的高频能量分量。这种由冲击引起的振动被测量系统记录为一个力（惯性力），并破坏了实际施加的力的测量结果。在发生缩放之前，必须从测量信号中去除惯性力。在公开文献中描述了许多用于从测量信号中去除惯性力的技术。本文讨论，实现和比较了三种方法。介绍了算法和过程。每种技术都包含固有的和独特的问题，而某些问题是所有方法所共有的。两种技术均未产生完全令人满意的结果。主要问题是应用该方法后不需要的高频含量。尽管这两种方法都无法提供理想的解决方案，但建议根据其相对性能和易于实现的情况使用数字滤波技术。

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