潮汐涡轮机叶片剩余疲劳寿命和剩余强度预测模型的建立方法

Tenis Ranjan Munaweera Thanthirige, W. Finnegan, J. Goggins
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引用次数: 0

摘要

随着潮汐能接近商业可行性,潮汐能装置的可靠性和安全性变得更加普遍。决定其可靠性和安全性的一个关键方面,以及在运行部署期间降低风险,是潮汐涡轮机叶片的结构完整性。因此,一个有效的预测潮汐涡轮机叶片结构完整性的模型将有助于降低潮汐能技术的风险。在本研究中,采用三相方法制定了一种策略来预测潮汐涡轮机叶片在其使用寿命期间的剩余疲劳寿命和剩余强度。在第一阶段,根据文献综述和该领域的专业知识,确定了影响潮汐涡轮机叶片结构性能的参数。然后,对参数进行了广泛的研究,并将其分为四个主要影响组,包括负载条件、设计和制造、退化和意外情况。叶片上的加载条件与水动力、维护、操作条件和腐蚀影响直接相关。同时,这些场景可能会随着流固耦合、气候条件、当地现场条件以及叶片的维护和检查计划而变化。设计制造类主要代表复合材料性能、叶片几何形状、制造工艺参数的影响。与其他结构一样,潮汐能水轮机叶片在使用寿命期间也会发生劣化和意外事故,严重影响了叶片的结构完整性。在第二阶段,制定了一项数据管理策略,以确定四个影响类别,并调查了分析数据的可能方法。在此背景下,在将结果与现场和实验室测试数据进行比较之前,认为对复合材料潮汐涡轮机叶片进行有限元分析是全面检查收集数据的最合适工具。数值模型的网格特性、测试标准、仪器和用于潮汐涡轮机叶片现场和实验室结构测试的设备,以及数据采集系统的准确性,都会影响这些结果的比较。最后,根据收集到的信息,结合现场的知识和经验,制定了潮汐水轮机运行各阶段的剩余强度和剩余疲劳寿命的估算方法。该模型将使用实验测试数据集进行一系列广泛的验证过程,并将在未来用于开发与潮汐涡轮机叶片剩余结构寿命相关的脆弱性曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology for developing a prediction model for the remaining fatigue life and residual strength of tidal turbine blades
As tidal energy nears commercial viability, the reliability and safety of a tidal energy device becomes more prevalent. A key aspect for determining their reliability and safety, along with reducing risk during operational deployment, is the structural integrity of tidal turbine blades. Therefore, a validated model for predicting the structural integrity of tidal turbine blades will aid in de-risking tidal energy technologies. In this study, a three-phase approach was used to formulate a strategy to predict the remaining fatigue life and residual strength of tidal turbine blades, over their operational lifespan.  In Phase 1, the parameters influencing the structural properties of tidal turbine blades were identified based on the literature review, and the expertise in the field. Then, parameters were extensively studied and classified into four main impact groups, which include load conditions, design and manufacturing, degradation, and unexpected situations. Loading conditions on the blade are directly linked to hydrodynamic forces, maintenance, operating conditions, and corrosion effects. At the same time, these scenarios can vary with fluid-structure interactions, climate conditions, local site conditions, and maintenance and inspection schedules of the blades. The design and manufacturing category mainly represents the impact of the properties of composite materials, the geometry of the blade, and manufacturing process parameters. Similar to the other structures, tidal turbine blades are subject to deterioration and unexpected accidents during their service life, which significantly compromises the structural integrity of the blade. In Phase 2, a data management strategy was formulated related to identified four impact categories and investigated the possible methods of analysing the data. In this context, finite element analysis of composite tidal turbine blades was identified as the most appropriate tool to comprehensively examine collected data, prior to comparing the results to the field and laboratory-based test data. Mesh properties of the numerical models, test standards, instrumentation, and equipment used for field and laboratory-based structural testing of tidal turbine blades, as well as the accuracy of data acquisition systems, influence the comparison of these results. Finally, with the information gathered, as well as knowledge and experience in the field, a method for estimating the residual strength and remaining fatigue life of tidal turbines at each stage of their operation was formulated. The model will undergo a series of extensive validation processes using experimental testing datasets and will be used in the future to develop vulnerability curves related to the remaining structural life of the tidal turbine blades.
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