required degree of subdivision

简明释义

要求的分舱度

英英释义

例句

1.In software development, the team discussed the required degree of subdivision of the codebase to improve maintainability.

在软件开发中，团队讨论了代码库的所需细分程度以提高可维护性。

2.When designing the product, the engineers considered the required degree of subdivision for various components.

在设计产品时，工程师考虑了各个组件的所需细分程度。

3.The project manager outlined the required degree of subdivision for the tasks to enhance workflow efficiency.

项目经理概述了任务的所需细分程度以提高工作流程效率。

4.For the data analysis, the researchers determined the required degree of subdivision for the dataset.

对于数据分析，研究人员确定了数据集的所需细分程度。

5.The architect specified the required degree of subdivision for the building's layout to ensure optimal space utilization.

建筑师指定了建筑布局的所需细分程度以确保最佳空间利用。

作文

In the realm of scientific research and engineering, the concept of the required degree of subdivision plays a crucial role in determining how materials and systems are analyzed and understood. This term refers to the necessary level of detail or granularity that must be achieved in order to accurately model a system or phenomenon. For instance, when conducting simulations in fluid dynamics, engineers must decide how finely to subdivide the fluid domain into smaller elements. The required degree of subdivision will affect the accuracy and computational efficiency of the simulation results.When we think about the required degree of subdivision, we must consider various factors such as the complexity of the physical phenomena being studied, the available computational resources, and the objectives of the analysis. A higher degree of subdivision often leads to more precise results, but it also demands more computing power and time. Conversely, a lower degree of subdivision might simplify the computation but can result in significant inaccuracies, potentially leading to flawed conclusions.In practical applications, the required degree of subdivision is not a one-size-fits-all parameter. Different scenarios necessitate different levels of detail. For example, in structural engineering, when analyzing the stress distribution in a bridge, engineers might choose a fine subdivision around critical points where stress concentrations occur, while using a coarser subdivision in areas where the stress is uniformly distributed. This strategic approach ensures that resources are allocated efficiently while still maintaining the integrity of the analysis.Moreover, the required degree of subdivision can also be influenced by regulatory standards and safety considerations. In fields such as aerospace or automotive engineering, where safety is paramount, a finer subdivision may be mandated to ensure that all potential failure modes are thoroughly examined. Here, the balance between thoroughness and resource management becomes even more critical.As technology advances, the tools available for modeling and simulation continue to improve, allowing for more detailed subdivisions without a proportional increase in computational cost. However, the fundamental question of the required degree of subdivision remains a pivotal consideration for researchers and engineers alike. It challenges them to find the optimal balance between accuracy and efficiency, ensuring that their models are both realistic and manageable.In conclusion, understanding the required degree of subdivision is essential for anyone involved in scientific research or engineering design. It requires a thoughtful assessment of the specific needs of the project, the nature of the materials or systems being studied, and the limitations of available resources. By carefully determining this degree of subdivision, professionals can enhance the reliability of their analyses and contribute to advancements in their respective fields, ultimately leading to safer and more efficient designs.

在科学研究和工程领域，所需的细分程度这一概念在确定材料和系统的分析和理解方式中起着至关重要的作用。这个术语指的是为了准确建模一个系统或现象而必须达到的必要详细程度或粒度。例如，在流体动力学模拟中，工程师必须决定如何将流体域细分为更小的元素。所需的细分程度将影响模拟结果的准确性和计算效率。当我们考虑所需的细分程度时，必须考虑多种因素，例如所研究的物理现象的复杂性、可用的计算资源以及分析的目标。更高的细分程度通常会导致更精确的结果，但也需要更多的计算能力和时间。相反，较低的细分程度可能会简化计算，但可能导致显著的不准确，从而可能得出错误的结论。在实际应用中，所需的细分程度并不是一个通用的参数。不同的场景需要不同的详细程度。例如，在结构工程中，当分析桥梁中的应力分布时，工程师可能会选择在应力集中发生的关键点周围进行细致的细分，而在应力均匀分布的区域使用粗略的细分。这种战略性的方法确保了资源的有效分配，同时保持分析的完整性。此外，所需的细分程度还可能受到监管标准和安全考虑的影响。在航空航天或汽车工程等领域，安全至关重要，可能要求更细的细分，以确保所有潜在的失效模式都得到了充分的检查。在这里，彻底性与资源管理之间的平衡变得更加关键。随着技术的进步，可用于建模和模拟的工具不断改善，使得在不成比例增加计算成本的情况下能够实现更详细的细分。然而，所需的细分程度的基本问题仍然是研究人员和工程师必须考虑的关键因素。它挑战他们找到准确性和效率之间的最佳平衡，确保他们的模型既真实又可管理。总之，理解所需的细分程度对于任何参与科学研究或工程设计的人来说都是至关重要的。这需要对项目的具体需求、所研究材料或系统的性质以及可用资源的限制进行深思熟虑的评估。通过仔细确定这种细分程度，专业人士可以提高分析的可靠性，并为各自领域的进步做出贡献，最终导致更安全和更高效的设计。