time dependent analysis

简明释义

非定常解析

英英释义

例句

1.A time dependent analysis 时间依赖分析 was essential for predicting the environmental impacts of the proposed project.

进行时间依赖分析 time dependent analysis对于预测拟议项目的环境影响至关重要。

2.The engineers performed a time dependent analysis 时间依赖分析 on the structural integrity of the bridge under different loading conditions.

工程师对桥梁在不同载荷条件下的结构完整性进行了时间依赖分析 time dependent analysis。

3.The software includes tools for time dependent analysis 时间依赖分析 to help researchers track changes in data over time.

该软件包括用于时间依赖分析 time dependent analysis的工具，以帮助研究人员跟踪数据随时间的变化。

4.In our research, we conducted a time dependent analysis 时间依赖分析 to understand how the variables change over time.

在我们的研究中，我们进行了时间依赖分析 time dependent analysis以了解变量如何随时间变化。

5.Using time dependent analysis 时间依赖分析, we were able to identify trends that were not visible in static data.

通过使用时间依赖分析 time dependent analysis，我们能够识别出在静态数据中不可见的趋势。

作文

In the realm of scientific research and engineering, the concept of time dependent analysis plays a crucial role in understanding how systems evolve over time. This type of analysis focuses on variables that change as a function of time, allowing researchers and engineers to predict future behavior based on initial conditions and governing equations. The importance of time dependent analysis is particularly evident in fields such as fluid dynamics, structural engineering, and environmental science, where the dynamic nature of systems must be taken into account to ensure accurate predictions and effective designs.For instance, consider a civil engineer tasked with designing a bridge. The loads applied to the bridge are not constant; they vary with time due to factors such as traffic patterns, temperature changes, and even seasonal effects. A static analysis, which assumes that loads are constant, would not accurately reflect the real-world conditions the bridge will face throughout its lifespan. Instead, the engineer must employ time dependent analysis to account for these fluctuations. By doing so, they can better understand how the materials will respond under varying conditions and ensure that the structure remains safe and functional over time.Similarly, in the field of environmental science, time dependent analysis is essential for modeling the dispersion of pollutants in air or water. The concentration of a pollutant can change dramatically over time due to factors such as wind patterns, precipitation, and chemical reactions. By applying time dependent analysis, scientists can predict how pollutants will spread and help inform regulations and cleanup efforts. This approach not only aids in understanding current conditions but also assists in forecasting future scenarios, thus enabling more effective environmental management strategies.Moreover, time dependent analysis is vital in the study of biological systems. For example, in pharmacokinetics, researchers analyze how drugs are absorbed, distributed, metabolized, and excreted over time. The concentration of a drug in the bloodstream changes continuously, influenced by various physiological processes. Understanding these time-dependent behaviors allows for the optimization of drug dosages and schedules, ultimately improving patient outcomes.The application of time dependent analysis extends beyond traditional scientific fields; it is also increasingly relevant in finance and economics. Financial markets are inherently dynamic, with prices fluctuating based on a myriad of factors including market sentiment, economic indicators, and geopolitical events. Analysts utilize time dependent analysis to model stock price movements and assess risks over time. This allows investors to make informed decisions based on potential future trends rather than relying solely on historical data.In conclusion, time dependent analysis is an indispensable tool across various disciplines, providing insights into how systems change over time. Its applications range from engineering and environmental science to biology and finance, highlighting its versatility and importance in both theoretical and practical contexts. As our understanding of complex systems continues to grow, the need for robust time dependent analysis will only increase, driving innovations and improvements in numerous fields. By embracing this analytical approach, we can enhance our ability to predict, manage, and optimize the systems that shape our world.

在科学研究和工程领域，时间依赖分析的概念在理解系统如何随时间演变方面发挥着至关重要的作用。这种类型的分析专注于随时间变化的变量，使研究人员和工程师能够根据初始条件和控制方程预测未来行为。时间依赖分析的重要性在流体动力学、结构工程和环境科学等领域尤为明显，这些领域必须考虑系统的动态特性，以确保准确的预测和有效的设计。例如，考虑一名土木工程师负责设计一座桥梁。施加在桥梁上的荷载并不是恒定的；它们会因交通模式、温度变化甚至季节影响而随时间变化。静态分析假设荷载是恒定的，这无法准确反映桥梁在其使用寿命中所面临的真实条件。因此，工程师必须采用时间依赖分析来考虑这些波动。通过这样做，他们可以更好地理解材料在不同条件下的响应，从而确保结构在时间上的安全和功能。同样，在环境科学领域，时间依赖分析对于建模污染物在空气或水中的扩散至关重要。污染物的浓度会因风向、降水和化学反应等因素而随时间发生剧烈变化。通过应用时间依赖分析，科学家可以预测污染物的传播，并帮助制定法规和清理工作。这种方法不仅有助于理解当前状况，还能协助预测未来情景，从而使环境管理策略更加有效。此外，时间依赖分析在生物系统的研究中也至关重要。例如，在药代动力学中，研究人员分析药物在体内的吸收、分布、代谢和排泄过程如何随时间变化。药物在血液中的浓度是不断变化的，受到各种生理过程的影响。理解这些时间依赖行为能够优化药物剂量和给药时间表，从而改善患者的治疗效果。时间依赖分析的应用超越了传统科学领域；它在金融和经济学中也越来越相关。金融市场本质上是动态的，价格根据市场情绪、经济指标和地缘政治事件等众多因素波动。分析师利用时间依赖分析来建模股票价格的变化，并评估随时间变化的风险。这使投资者能够基于潜在的未来趋势做出明智的决策，而不仅仅依赖历史数据。总之，时间依赖分析是各个学科中不可或缺的工具，提供了对系统如何随时间变化的洞察。它的应用范围从工程和环境科学到生物学和金融，突显了其在理论和实践背景下的多样性和重要性。随着我们对复杂系统理解的不断深入，对强大时间依赖分析的需求只会增加，从而推动众多领域的创新和改进。通过采用这种分析方法，我们可以增强预测、管理和优化塑造我们世界的系统的能力。