numerical modeling

简明释义

数值模拟

英英释义

例句

1.The engineers used numerical modeling to predict the stress distribution in the bridge under heavy loads.

工程师们使用数值建模来预测桥梁在重载下的应力分布。

2.The team applied numerical modeling techniques to improve the efficiency of wind turbines.

团队应用数值建模技术来提高风力涡轮机的效率。

3.In climate research, numerical modeling plays a crucial role in simulating weather patterns.

在气候研究中，数值建模在模拟天气模式方面起着至关重要的作用。

4.The pharmaceutical company utilized numerical modeling to simulate drug interactions in the human body.

制药公司利用数值建模模拟药物在人体内的相互作用。

5.Using numerical modeling, scientists can analyze the impact of tsunamis on coastal structures.

通过使用数值建模，科学家可以分析海啸对沿海结构的影响。

作文

Numerical modeling is a powerful tool used in various scientific fields to simulate real-world phenomena. By employing mathematical equations and algorithms, researchers can create representations of complex systems, allowing them to analyze and predict behaviors under different conditions. One of the most significant advantages of numerical modeling (数值建模) is its ability to handle scenarios that are difficult or impossible to study through traditional experimental methods. For instance, in environmental science, numerical modeling (数值建模) can be used to predict climate change impacts by simulating atmospheric conditions and oceanic currents. This helps scientists understand how various factors contribute to global warming and aids in developing strategies for mitigation.In engineering, numerical modeling (数值建模) plays a crucial role in designing structures and materials. Engineers can use numerical modeling (数值建模) to predict how buildings will respond to earthquakes or how bridges will withstand heavy loads. By inputting different variables into their models, they can optimize designs for safety and efficiency before any physical construction begins. This not only saves time and resources but also enhances the overall safety of the infrastructure.The field of medicine has also greatly benefited from numerical modeling (数值建模). For example, in drug development, researchers can model how a drug will interact with biological systems at the molecular level. This allows for the identification of potential side effects and efficacy before clinical trials, thereby accelerating the drug development process. Furthermore, numerical modeling (数值建模) can assist in understanding disease spread and inform public health responses during epidemics.Despite its many benefits, numerical modeling (数值建模) is not without its challenges. The accuracy of a numerical model heavily relies on the quality of the input data and the assumptions made during its creation. If the model is based on flawed data or unrealistic assumptions, the results can be misleading. Therefore, it is essential for researchers to validate their models against real-world observations to ensure reliability.Moreover, numerical modeling (数值建模) can be computationally intensive, requiring significant processing power and time. As technology advances, however, the accessibility of high-performance computing resources is increasing, making it easier for researchers to conduct complex simulations. This trend is likely to continue, further expanding the applications of numerical modeling (数值建模) across various disciplines.In conclusion, numerical modeling (数值建模) is an invaluable asset in modern science and engineering. Its ability to simulate and predict complex systems enables researchers and professionals to make informed decisions and innovate solutions to pressing challenges. As we continue to refine our modeling techniques and improve computational capabilities, the impact of numerical modeling (数值建模) will undoubtedly grow, paving the way for advancements in knowledge and technology that can benefit society as a whole.

数值建模是一个强大的工具，用于各种科学领域，以模拟现实世界现象。通过采用数学方程和算法，研究人员可以创建复杂系统的表示，从而分析和预测在不同条件下的行为。数值建模的一个重要优势是其能够处理通过传统实验方法难以或不可能研究的场景。例如，在环境科学中，数值建模可以用来预测气候变化的影响，通过模拟大气条件和海洋洋流。这帮助科学家理解各种因素如何导致全球变暖，并有助于制定减缓策略。在工程领域，数值建模在设计结构和材料方面发挥着至关重要的作用。工程师可以使用数值建模预测建筑物如何应对地震，或桥梁如何承受重载。通过将不同变量输入他们的模型，他们可以在任何物理建设开始之前优化设计以确保安全和效率。这不仅节省了时间和资源，而且增强了基础设施的整体安全性。医学领域也从数值建模中获益匪浅。例如，在药物开发中，研究人员可以对药物与生物系统在分子水平上的相互作用进行建模。这允许在临床试验之前识别潜在的副作用和有效性，从而加速药物开发过程。此外，数值建模还可以帮助理解疾病传播，并在疫情期间为公共卫生响应提供信息。尽管有许多好处，数值建模并非没有挑战。数值模型的准确性在很大程度上依赖于输入数据的质量和在创建过程中所做的假设。如果模型基于错误的数据或不切实际的假设，其结果可能会误导。因此，研究人员必须将他们的模型与现实世界观察进行验证，以确保可靠性。此外，数值建模可能计算密集，需要大量的处理能力和时间。然而，随着技术的进步，高性能计算资源的可获取性正在增加，使研究人员更容易进行复杂的模拟。这一趋势可能会继续发展，进一步扩大数值建模在各个学科中的应用。总之，数值建模是现代科学和工程中不可或缺的资产。它模拟和预测复杂系统的能力使研究人员和专业人士能够做出明智的决策，并创新解决紧迫的挑战。随着我们不断完善建模技术和提高计算能力，数值建模的影响无疑会增长，为知识和技术的进步铺平道路，从而使整个社会受益。