首页> 外文会议>ASME International Conference on Ocean, Offshore and Arctic Engineering >NONLINEAR ANALYSIS OF A HEAVING POINT ABSORBER IN FREQUENCY DOMAIN VIA STATISTICAL LINEARIZATION
【24h】

NONLINEAR ANALYSIS OF A HEAVING POINT ABSORBER IN FREQUENCY DOMAIN VIA STATISTICAL LINEARIZATION

机译:统计线性化频域中厚点吸收器的非线性分析

获取原文

摘要

The majority of wave energy devices operate close to resonant conditions to enhance energy conversion resulting in large displacements. As a result, nonlinearities significantly contribute to the dynamics of the system. A typical approach to predict the behavior of the system and power output relies on the derivation of a mathematical model in the time domain to simulate the dynamics through some numerical codes. However, a relatively high computational demand is required for those simulations. In this regard, the present work deals with the nonlinearities in the frequency domain via Statistical Linearization. Two different power-take-off systems are investigated, a linear and a hydraulic one, and their mean power calculations are derived based on the Statistical Linearization. The reliability of the method is verified against the Power Spectrum Density (PSD) of nonlinear time domain simulations. Only the heave motion is analyzed, and several nonlinearities commonly reported for Point Absorbers (PA) were considered, such as cubic stiffness, geometric nonlinearities, drag forces, and Coulomb forces. The approach employed in this work offers a reliable estimation of body dynamics for all nonlinearities considered. In addition, the present method produced a fast estimation, which can be valuable for the assessment of several designs and sea load conditions.
机译:大多数波浪能器件可接近谐振条件,以提高能量转换导致大的位移。结果,非线性显着贡献了系统的动态。一种典型的方法来预测系统和功率输出的行为依赖于时域中数学模型的推导来通过一些数字代码模拟动态。然而,这些模拟需要相对高的计算需求。在这方面,本作通过统计线性化涉及频域中的非线性。研究了两个不同的电力消耗系统,基于统计线性化导出了线性和液压1,并且它们的平均功率计算得出。该方法的可靠性验证了非线性时域仿真的功率谱密度(PSD)。仅分析升降运动,并且考虑了几个常见的点吸收剂(PA)的几个非线性,例如立方刚度,几何非线性,阻力和库仑力。本工作所采用的方法提供了对所有非线性所考虑的所有非线性的身体动态的可靠估计。此外,本方法产生了快速估计,这对于评估几种设计和海上负荷条件来说是有价值的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号