College of Mechanics and Materials, Hohai University, Nanjing 210024, China.
College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China.
Sensors (Basel). 2023 Jun 29;23(13):6045. doi: 10.3390/s23136045.
The mechanical properties of ice in cold regions are significantly affected by the variation in temperature. The existing methods to determine ice properties commonly rely on one-off and destructive compression and strength experiments, which are unable to acquire the varying properties of ice due to temperature variations. To this end, an embedded ultrasonic system is proposed to inspect the mechanical properties of ice in an online and real-time mode. With this system, ultrasonic experiments are conducted to testify to the validity of the system in continuously inspecting the mechanical properties of ice and, in particular, to verify its capabilities to obtain ice properties for various temperature conditions. As an extension of the experiment, an associated refined numerical model is elaborated by mimicking the number, size, and agglomeration of bubbles using a stochastic distribution. This system can continuously record the wave propagation velocity in the ice, giving rise to ice properties through the intrinsic mechanics relationship. In addition, this model facilitates having insights into the effect of properties, e.g., porosity, on ice properties. The proposed embedded ultrasonic system largely outperforms the existing methods to obtain ice properties, holding promise for developing online and real-time monitoring techniques to assess the ice condition closely related to structures in cold regions.
寒冷地区冰的力学性能受温度变化的显著影响。现有的确定冰特性的方法通常依赖于一次性的、破坏性的压缩和强度实验,由于温度变化,这些方法无法获得冰的变化特性。为此,提出了一种嵌入式超声系统,以在线实时模式检测冰的力学性能。利用该系统,进行了超声实验,以验证该系统在连续检测冰的力学性能方面的有效性,特别是验证其在各种温度条件下获取冰特性的能力。作为实验的延伸,通过随机分布模拟气泡的数量、大小和聚集,阐述了一个相关的细化数值模型。该系统可以连续记录冰中波的传播速度,通过固有力学关系得出冰的特性。此外,该模型有助于深入了解特性(如孔隙率)对冰特性的影响。所提出的嵌入式超声系统在获取冰特性方面大大优于现有的方法,为开发在线实时监测技术以评估与寒冷地区结构密切相关的冰状况提供了前景。