的高压和高温热弹性:一个ab initio研究
X Gong1, A Dal Corso1,2
1International School for Advanced Studies (SISSA), Via Bonomea 265, 34136 Trieste, Italy.
The Journal of chemical physics
|March 25, 2025
概括
准和近似 (QHA) 准确地预测了.
科学领域:
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
- 计算材料科学科学 计算材料科学
背景情况:
- 准确预测热弹性特性对于材料设计至关重要.
- 的以身体为中心的立方体结构在不同的条件下表现出独特的机械行为.
- 了解温度和压力对弹性常数的影响有助于材料应用.
研究的目的:
- 计算和呈现体中心立方的热弹性特性.
- 为了比较准和近似 (QHA) 结果与准静态近似 (QSA) 和实验数据.
- 为了研究的弹性常数的温度和压力依赖.
主要方法:
- 使用准和近似 (QHA) 进行计算.
- 将计算的弹性常数与准静态近似 (QSA) 和实验测量进行比较.
- 分析从5K到1500K的温度依赖弹性常数 (TDECs) 和在不同温度下的压力依赖弹性常数.
主要成果:
- QHA准确地预测了的取决于温度的弹性常数 (TDECs) 从5K到500K,在这个范围内表现优于QSA.
- 在更高的温度 (>500 K) 时,QHA结果变得线性且与QSA平行,偏离实验斜率变化.
- 用QHA计算的压力依赖弹性常数为5,300,1000和1500K提供.
结论:
- 在低至中等温度下,QHA与的实验热弹性特性提供了很好的一致性.
- 在较高温度下的偏差表明在显著的热膨胀下QHA的限制.
- 该研究提供了在各种温度和压力条件下的有价值数据.
相关概念视频
Thermal Strain
480
Thermal strain is a concept that arises when we consider how temperature changes affect structures. Unlike the conventional assumption that structures remain constant under load, real-world scenarios often involve temperature fluctuations that can significantly impact these structures. Consider a homogeneous rod with a uniform cross-section resting freely on a flat horizontal surface. If the rod's temperature increases, the rod elongates. This elongation is proportional to the temperature...
480
Thermal expansion and Thermal stress: Problem Solving
1.1K
San Francisco's Golden Gate Bridge is exposed to temperatures ranging from -15 °C to 40 °C. At its coldest, the main span of the bridge is 1275 m long. Assuming that the bridge is made entirely of steel, what is the change in its length between these temperatures?
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in...
To solve the problem, first, identify the known and unknown quantities. The initial length (L) of the bridge is 1275 m, the coefficient of linear expansion (α) for steel is 12 x 10-6/°C, and the change in...
1.1K


