High-performance simulations of wave propagation for structure analysis of concrete
用于混凝土结构分析的波传播高性能模拟
基本信息
- 批准号:418878444
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Units
- 财政年份:
- 资助国家:德国
- 起止时间:
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
It is experimentally demonstrated that ultrasonic waves are sensitive to different loadings of Reinforced Concrete (RC). A tool for the corresponding analysis is the Coda wave Interferometry (CWI). However, concrete is a strongly heterogeneous and densely packed composite material. Due to the high density of scattering constituents and inclusions, ultrasonic wave propagation in this material consists of a complex mixture of multiple scattering, mode conversion and diffusive energy transport. For a better understanding of the effect of aggregates, porosity, and of crack distribution on elastic wave propagation in concrete and to optimize inverse techniques it is useful to simulate the wave propagation and scattering process explicitly in the time domain. For this purpose, we use the Rotated Staggered Grid (RSG) finite-difference technique for solving the wave equations for elastic, anisotropic, and/or viscoelastic media.The subproject BU of the research unit is subdivided into five Work Packages (WP). The first one concentrates on ultrasound simulations as a service for collaborating partners (especially with RUB1, BAM and TUM2). With this task we continue the close collaboration on this issue during the first phase of the research unit. In the second work package we will further develop digital twins by X-Ray Computed Tomographic (XRCT) images. With this tool we estimate the influence of different loads (moisture, temperature, and mechanical load) to the microstructure of concrete. Image segmentation based on material knowledge is a crucial step in this procedure. By the transformation of several Digital Rock Physics approaches from geophysics to concrete we can estimate the corresponding influence on effective properties of concrete. In work package four we use the results of WP 3 to estimate the corresponding influence on the Coda signal. With the help of an international partner, we also will apply further machine learning techniques to interpret the coda signal in synthetic as well as in real structures. The fourth work package aims to extend the Time Reverse Imaging (TRI) technique for localization and characterization of Acoustic Events to an Active-TRI which will use the Coda signals to localize and characterize damage zones. The goal of WP 5 is to apply the machine learning techniques to identify the different loads (WP 3) and the Active-TRI technique to locate damage zones (WP4) to the test sides suggested in the main proposal of the research unit (Gänstorbrücke and station Scheidplatz).In summary we will optimize CWI with the help of high-performance computer simulations and the application of geophysical inversion techniques. Qualitative and quantitative long-term assessment of RC will be further developed.
试验表明,超声波对钢筋混凝土(RC)的不同荷载敏感。用于相应分析的工具是尾波干涉测量法(CWI)。然而,混凝土是一种强非均质和密集堆积的复合材料。由于散射成分和夹杂物的高密度,超声波在这种材料中的传播由多次散射、模式转换和扩散能量传输的复杂混合物组成。为了更好地理解骨料、孔隙率和裂缝分布对弹性波在混凝土中传播的影响,并优化反演技术,在时域中显式地模拟波的传播和散射过程是有用的。为此,我们使用旋转交错网格(RSG)有限差分技术求解弹性,各向异性和/或粘弹性介质的波动方程。研究单位的子项目BU被细分为五个工作包(WP)。第一个专注于超声模拟,作为合作伙伴的服务(特别是与RUB 1,BAM和TUM 2)。通过这项任务,我们在研究单位的第一阶段继续就这一问题进行密切合作。在第二个工作包中,我们将通过X射线计算机断层扫描(XRCT)图像进一步开发数字双胞胎。利用该工具,我们估计了不同载荷(湿度、温度和机械载荷)对混凝土微观结构的影响。基于材料知识的图像分割是这一过程中的关键步骤。通过将数字岩石物理学的几种方法从岩石物理学转化到混凝土中,可以估计相应的方法对混凝土有效性能的影响。在工作包4中,我们使用WP 3的结果来估计相应的影响尾波信号。在国际合作伙伴的帮助下,我们还将进一步应用机器学习技术来解释合成和真实的结构中的尾波信号。第四个工作包的目的是扩展时间反转成像(TRI)技术的定位和表征的声事件的主动TRI将使用尾波信号定位和表征损坏区。WP 5的目标是应用机器学习技术来识别不同的负载(WP 3)和Active-TRI技术来定位研究单位(Gänstorbrücke和Scheidplatz站)主要提案中建议的测试侧的损坏区域(WP 4)。总之,我们将借助高性能计算机模拟和地球物理反演技术的应用优化CWI。将进一步发展对驻地协调员的定性和定量长期评估。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr. Erik H. Saenger其他文献
Professor Dr. Erik H. Saenger的其他文献
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{{ truncateString('Professor Dr. Erik H. Saenger', 18)}}的其他基金
Numerische Mehrphasen-Gesteinsphysik "Geophysik"
数值多相岩石物理《地球物理学》
- 批准号:
37108566 - 财政年份:2007
- 资助金额:
-- - 项目类别:
Heisenberg Fellowships
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