numerical modelling

简明释义

数值模拟

英英释义

例句

1.The engineer used numerical modelling to simulate the stresses on the bridge under various loads.

工程师使用数值模拟来模拟桥梁在不同载荷下的应力。

2.The team developed a numerical modelling approach to assess groundwater flow in the aquifer.

团队开发了一种数值模拟方法来评估含水层中的地下水流动。

3.Researchers applied numerical modelling to understand the dynamics of ocean currents.

研究人员应用数值模拟来理解海洋洋流的动态。

4.Using numerical modelling, they were able to predict the impact of the new policy on traffic flow.

通过使用数值模拟，他们能够预测新政策对交通流量的影响。

5.In climate science, numerical modelling is essential for predicting future weather patterns.

在气候科学中，数值模拟对于预测未来的天气模式至关重要。

作文

In the field of science and engineering, numerical modelling plays a crucial role in understanding complex systems and phenomena. It refers to the use of mathematical models to simulate physical processes through computational techniques. By employing numerical modelling, researchers can predict the behavior of systems under various conditions, which is invaluable in fields such as meteorology, fluid dynamics, and structural engineering.One of the main advantages of numerical modelling is its ability to handle problems that are difficult or impossible to solve analytically. For instance, when studying the weather, meteorologists utilize numerical modelling to create simulations of atmospheric conditions. These models take into account numerous variables, including temperature, pressure, humidity, and wind patterns. By inputting data from weather stations and satellites, scientists can forecast weather events with remarkable accuracy. This capability is essential for disaster preparedness and response, as accurate weather predictions can save lives and property.Moreover, numerical modelling is widely used in the design and analysis of structures. Engineers employ these models to assess how buildings and bridges will respond to various forces, such as wind, earthquakes, or loads. For example, during the design phase of a skyscraper, engineers use numerical modelling to simulate the structural integrity of the building under different scenarios. This allows them to make informed decisions about materials and design choices, ultimately ensuring safety and durability.Another significant application of numerical modelling is in the field of environmental science. Researchers use these models to study the impact of pollutants on ecosystems. By simulating the dispersion of contaminants in air or water, scientists can predict how these substances will affect wildlife and human health. This information is crucial for developing regulations and strategies to mitigate environmental damage. For instance, after an oil spill, numerical modelling can help determine the best methods for cleanup and the potential long-term effects on marine life.Despite its many advantages, numerical modelling also has limitations. The accuracy of a model depends heavily on the quality of the input data and the assumptions made during its development. If the data is flawed or if critical factors are omitted, the predictions generated by the model may be misleading. Additionally, numerical modelling can be computationally intensive, requiring significant resources and time to run complex simulations.In conclusion, numerical modelling is an indispensable tool in modern science and engineering. Its ability to simulate real-world processes provides valuable insights that guide decision-making across various disciplines. As technology continues to advance, the techniques and applications of numerical modelling will likely evolve, leading to even more accurate and efficient simulations. Understanding and mastering numerical modelling is essential for future researchers and professionals aiming to tackle the challenges posed by complex systems in our world.

在科学和工程领域，数值建模在理解复杂系统和现象方面发挥着至关重要的作用。它是指通过计算技术使用数学模型来模拟物理过程。通过采用数值建模，研究人员可以预测系统在各种条件下的行为，这在气象学、流体动力学和结构工程等领域是非常宝贵的。数值建模的主要优势之一是它能够处理那些难以或不可能通过解析方法解决的问题。例如，在研究天气时，气象学家利用数值建模创建大气条件的模拟。这些模型考虑了众多变量，包括温度、压力、湿度和风速。通过输入来自气象站和卫星的数据，科学家们能够以惊人的准确性预测天气事件。这一能力对于灾害准备和响应至关重要，因为准确的天气预测可以拯救生命和财产。此外，数值建模在结构设计和分析中被广泛应用。工程师使用这些模型评估建筑物和桥梁在风、地震或载荷等各种力量下的反应。例如，在摩天大楼的设计阶段，工程师使用数值建模模拟建筑在不同情境下的结构完整性。这使他们能够就材料和设计选择做出明智的决策，最终确保安全和耐用。数值建模的另一个重要应用是在环境科学领域。研究人员使用这些模型研究污染物对生态系统的影响。通过模拟污染物在空气或水中的扩散，科学家可以预测这些物质将如何影响野生动物和人类健康。这些信息对于制定法规和减轻环境损害的策略至关重要。例如，在油污泄漏后，数值建模可以帮助确定最佳的清理方法及其对海洋生物的潜在长期影响。尽管有许多优点，数值建模也存在局限性。模型的准确性在很大程度上依赖于输入数据的质量以及开发过程中所做的假设。如果数据有缺陷，或者遗漏了关键因素，则模型生成的预测可能会误导。此外，数值建模可能需要大量计算资源和时间来运行复杂的模拟。总之，数值建模是现代科学和工程中不可或缺的工具。它模拟现实世界过程的能力提供了有价值的见解，指导各个学科的决策。随着技术的不断进步，数值建模的技术和应用可能会不断演变，从而导致更准确和高效的模拟。理解和掌握数值建模对于未来的研究人员和专业人士来说是应对我们世界中复杂系统所带来的挑战的关键。