排序方式: 共有46条查询结果,搜索用时 555 毫秒
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以典型缝合式复合材料夹芯板为研究对象,建立其动力学方程,开展该夹芯板的动态特性研究,探讨了缝合密度和缝合线角度对夹芯板模态特性、频响特性以及随机动响应的影响。研究结果表明:缝合线的存在增强了面板与夹芯层间的整体性,提高了夹芯板的固有频率,并约束了夹芯板的局部模态,降低了结构的模态密度,整体上降低了夹芯板在噪声载荷作用下的加速度及响应能量,但对结构应力响应影响较小;缝合线主要降低了上面板的动响应,对主承力板的动响应影响相对较小;随着缝合密度的增大,缝合式夹芯板的整体性逐渐提高,加速度及响应能量逐渐降低并收敛;缝合线角度则对结构总体动态特性影响不明显。 相似文献
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基于缝合层板单层单胞细观力学模型,研究了单层板在拉、压、剪下的力学特性。根据经典层板理论建立了缝合层板在双轴载荷下的强度模型,并考虑了缝合造成表面层和内部层刚度和强度的差异。通过有限元软件ABAQUS分析了双轴载荷多种工况下缝合层板的损伤演化过程,揭示了缝合层板的失效机理,获得了缝合层板在双轴载荷下的失效包络线以及对应比率载荷下的应力应变曲线。所预测的失效模式和失效强度与实验取得了较好的吻合。通过分析表明缝合层板单层在剪切载荷下表现出一定的非线性特性。多轴多向层板在双轴载荷下表现出较强的耦合性。 相似文献
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Multicamera measurement system to evaluate the dynamic response of utility‐scale wind turbine blades
Peyman Poozesh Alessandro Sabato Aral Sarrafi Christopher Niezrecki Peter Avitabile Rahul Yarala 《风能》2020,23(7):1619-1639
Wind turbine blade certification requires static and fatigue testing at a large‐scale facility similar to the Wind Technology Testing Center (WTTC) located in Charlestown, Massachusetts. Usually, these tests are conducted by using wire‐based sensors such as strain gages, accelerometers, and string potentiometers. These systems are expensive, require a time‐consuming installation (e.g., up to 3 weeks and $35 k–$50 k for a strain gage system on a 55‐m‐long blade), are difficult to deploy on large‐sized structures, require additional instrumentations (e.g., power amplifiers and data acquisition systems), and produce results only at a handful of a discrete number of measurement points. In this study, a multicamera measurement system is implemented and experimentally evaluated to obtain full‐field displacement and strain over a ~12‐m‐long portion of a ~60‐m utility‐scale wind turbine blade. The proposed system has the potential to streamline the certification process by reducing the blade's preparation and sensor installation cost and time to a few hundreds of dollars (for painting equipment) and a few days for preparing the surface of the blade for the test. Furthermore, operational modal analysis was used in conjunction with the multicamera system to estimate the natural frequencies and mode shapes of the wind turbine blade. The obtained results have shown that the proposed approach can detect in‐plane displacement as low as 0.2 mm, mechanical strain with an error below 3% when compared with measurement performed using strain gages, and the first five natural frequencies with an error below 2% when compared with data recorded using traditional wire‐based accelerometers. This paper presents these results and provides a summary of the strengths and weaknesses of the proposed optical measurement approach in the context of streamlining the blade certification/testing process and performing vision‐based structural dynamic measurements on large‐scale structures. 相似文献