dynamic similarity

简明释义

动力学相似

英英释义

Dynamic similarity refers to the condition where two systems or models exhibit similar behavior or response characteristics under varying conditions, often used in the context of fluid dynamics and scale modeling.

动态相似性是指在不同条件下,两个系统或模型表现出相似的行为或响应特征的状态,通常用于流体动力学和比例模型的研究中。

例句

1.The engineer explained how the model demonstrated dynamic similarity 动态相似性 to predict the behavior of the full-scale structure.

工程师解释了模型如何展示动态相似性来预测全尺寸结构的行为。

2.The concept of dynamic similarity 动态相似性 helps engineers scale their experiments effectively.

动态相似性的概念帮助工程师有效地缩放他们的实验。

3.In fluid dynamics, achieving dynamic similarity 动态相似性 is crucial for accurate testing of prototypes.

在流体动力学中,实现动态相似性对于原型的准确测试至关重要。

4.To validate the simulation results, we need to confirm dynamic similarity 动态相似性 between the model and the real system.

为了验证模拟结果,我们需要确认模型与真实系统之间的动态相似性。

5.The researchers used a small-scale wind tunnel to ensure dynamic similarity 动态相似性 with the actual aircraft design.

研究人员使用小型风洞以确保与实际飞机设计的动态相似性。

作文

In the realm of science and engineering, understanding the principles that govern motion is crucial. One such principle is known as dynamic similarity, which refers to the condition where two systems exhibit similar behavior under dynamic conditions, meaning they respond in analogous ways to forces and movements. This concept is particularly significant in fields like fluid dynamics, where engineers often rely on models to predict the behavior of larger systems based on smaller prototypes. For instance, when designing an aircraft, engineers may create a scale model to test in a wind tunnel. The goal is to achieve dynamic similarity between the model and the actual aircraft, ensuring that the airflow patterns and forces acting on both are comparable. Achieving dynamic similarity involves careful consideration of various factors, including size, speed, and the properties of the fluid in which the model operates. By maintaining these parameters in proportion, engineers can ensure that the results obtained from the model will accurately reflect the performance of the full-scale object. This approach not only saves time and resources but also enhances the safety and reliability of the designs being tested. Moreover, dynamic similarity is not limited to mechanical systems. It can also be observed in biological systems, where researchers study the movement of animals to understand how different species adapt to their environments. For example, the way fish swim through water can provide insights into how other organisms might navigate their habitats. By establishing dynamic similarity between different species, scientists can draw parallels that help explain evolutionary adaptations. In addition to its applications in engineering and biology, dynamic similarity also plays a role in social sciences. In sociology, researchers may analyze behaviors within groups to identify patterns that emerge under similar dynamic conditions. By recognizing dynamic similarity in group behaviors, sociologists can better understand social dynamics and predict how changes in one part of a system may affect the whole. The importance of dynamic similarity cannot be overstated. It allows for the simplification of complex systems, enabling scientists and engineers to make predictions with a higher degree of confidence. As technology advances, the ability to replicate dynamic similarity in simulations and models becomes increasingly sophisticated. This progress opens new avenues for research and innovation across various disciplines. In conclusion, dynamic similarity is a fundamental concept that bridges multiple fields of study. Whether in engineering, biology, or social sciences, recognizing and applying the principles of dynamic similarity leads to a deeper understanding of how systems operate under dynamic conditions. As we continue to explore the intricacies of motion and behavior, the significance of dynamic similarity will undoubtedly remain a vital aspect of scientific inquiry and practical application.

在科学和工程领域,理解支配运动的原则至关重要。其中一个原则被称为动态相似性,它指的是在动态条件下两个系统表现出相似行为的状态,这意味着它们对力和运动的反应方式是类似的。这个概念在流体动力学等领域尤其重要,因为工程师常常依赖模型来预测较大系统的行为,这些模型基于较小的原型。例如,在设计飞机时,工程师可能会创建一个缩放模型在风洞中进行测试。目标是实现模型与实际飞机之间的动态相似性,确保两者所受的气流模式和力是可比的。实现动态相似性需要仔细考虑各种因素,包括大小、速度和模型所处流体的性质。通过保持这些参数的比例,工程师可以确保从模型中获得的结果能够准确反映全尺寸物体的性能。这种方法不仅节省时间和资源,还增强了正在测试的设计的安全性和可靠性。此外,动态相似性并不仅限于机械系统。它还可以在生物系统中观察到,研究人员研究动物的运动以了解不同物种如何适应其环境。例如,鱼类在水中游泳的方式可以提供对其他生物如何在其栖息地中导航的见解。通过建立不同物种之间的动态相似性,科学家可以得出有助于解释进化适应的平行关系。除了在工程和生物学中的应用,动态相似性在社会科学中也发挥着作用。在社会学中,研究人员可能会分析群体内的行为,以识别在类似动态条件下出现的模式。通过识别群体行为中的动态相似性,社会学家可以更好地理解社会动态,并预测系统某一部分的变化如何影响整体。动态相似性的重要性不容小觑。它使复杂系统的简化成为可能,使科学家和工程师能够以更高的信心进行预测。随着技术的进步,复制动态相似性的能力在模拟和模型中变得越来越复杂。这一进展为各个学科的研究和创新开辟了新的途径。总之,动态相似性是一个基本概念,连接了多个研究领域。无论是在工程、生物学还是社会科学中,识别和应用动态相似性的原则都能深入理解系统在动态条件下的运作。随着我们继续探索运动和行为的复杂性,动态相似性的重要性无疑将继续成为科学探究和实际应用的一个重要方面。

相关单词

dynamic

dynamic详解:怎么读、什么意思、用法