computer simulation

简明释义

计算机模拟

英英释义

例句

1.The engineers used computer simulation 计算机模拟 to test the structural integrity of the bridge design.

工程师们使用计算机模拟来测试桥梁设计的结构完整性。

2.In our biology class, we ran a computer simulation 计算机模拟 of cellular processes to better understand how they work.

在我们的生物课上，我们进行了计算机模拟以更好地理解细胞过程的运作。

3.The weather forecast relies heavily on computer simulation 计算机模拟 to predict future weather patterns.

天气预报在很大程度上依赖于计算机模拟来预测未来的天气模式。

4.Researchers are developing a computer simulation 计算机模拟 to model the effects of climate change on marine life.

研究人员正在开发一个计算机模拟以模拟气候变化对海洋生物的影响。

5.During the training, pilots practiced emergency procedures using computer simulation 计算机模拟 software.

在培训期间，飞行员使用计算机模拟软件练习紧急程序。

作文

In today's rapidly advancing technological landscape, the role of computer simulation (计算机模拟) has become increasingly significant. This powerful tool enables researchers, engineers, and scientists to create virtual models of real-world systems, allowing them to analyze and predict behavior without the need for physical experimentation. The applications of computer simulation (计算机模拟) span across various fields, including aerospace, medicine, environmental science, and even social sciences.One of the most prominent uses of computer simulation (计算机模拟) is in the field of aerospace engineering. Engineers utilize this technology to simulate flight conditions and test aircraft designs before they are built. By creating a detailed virtual environment, they can assess how different variables, such as wind speed and atmospheric pressure, affect the performance of an aircraft. This not only saves time and resources but also enhances safety by identifying potential issues early in the design process.In medicine, computer simulation (计算机模拟) plays a crucial role in training healthcare professionals. For instance, medical students can practice surgical procedures on virtual patients, honing their skills without the risks associated with real-life surgeries. Furthermore, researchers can use computer simulation (计算机模拟) to model the spread of diseases, helping public health officials devise effective strategies for containment and prevention.Environmental scientists also benefit from computer simulation (计算机模拟) when studying climate change and its impacts. By simulating various scenarios, they can predict how changes in temperature or greenhouse gas emissions might influence ecosystems and weather patterns. This information is vital for policymakers as they work to implement measures to mitigate climate change effects.Moreover, computer simulation (计算机模拟) is not limited to the hard sciences. In social sciences, researchers employ simulations to understand complex human behaviors and interactions. For example, sociologists might create models to study the dynamics of group behavior during emergencies, providing insights into how communities respond to crises.Despite its many advantages, there are challenges associated with computer simulation (计算机模拟). One major concern is the accuracy of the models. If the underlying assumptions or data are flawed, the results can lead to incorrect conclusions. Therefore, it is essential for researchers to validate their simulations against real-world data and continuously refine their models.Additionally, the computational power required for high-fidelity computer simulation (计算机模拟) can be substantial. As systems become more complex, the simulations demand more resources, which may not be accessible in all settings. However, advancements in technology, such as cloud computing and parallel processing, are helping to overcome these limitations, making computer simulation (计算机模拟) more accessible to a broader audience.In conclusion, computer simulation (计算机模拟) is a transformative tool that has revolutionized the way we approach problem-solving across various disciplines. Its ability to replicate real-world scenarios allows for safer, more efficient, and cost-effective research and development. As technology continues to evolve, the potential of computer simulation (计算机模拟) will undoubtedly expand, paving the way for innovations that enhance our understanding of complex systems and improve decision-making processes.