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Multiscale analysis of material damage in civil structure using embedded micro sensors

机译：嵌入式微传感器对民用建筑材料破坏的多尺度分析

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摘要

Research and development related to homeland security has emerged as one of the most challenging topics nationwide in the recent few years. Effective structural health monitoring, diagnosis, and prognosis are of great importance for the safety and reliability analysis for civil infrastructural systems. While the technologies of sensor-arrays embedded in host structures are widely employed for structural health monitoring, the key issue is how to set-up a physics-based model framework and its corresponding efficient algorithm to evaluate the quality of the host structures through the output of the sensors. It is a frontal interdisciplinary topic bridging the microstructural damage mechanics and signal estimation theory. By employing a multi-scale constitutive model of solids with damage, this paper conducts an exploratory research on the modeling and algorithm of estimating the mean value of crack density and the distribution of crack orientation of a cracked plate subjected to unidirectional tension. Simulation results reveal that the framework and algorithm provide a reasonable performance in recovering crack orientation.
机译：近几年来，与国土安全有关的研究与开发已成为全国最具挑战性的主题之一。有效的结构健康监测，诊断和预后对于民用基础设施系统的安全性和可靠性分析至关重要。虽然嵌入宿主结构中的传感器阵列技术被广泛用于结构健康监测，但关键问题是如何建立基于物理学的模型框架及其相应的有效算法，以通过输出评估宿主结构的质量的传感器。这是跨学科的前沿学科，将微结构损伤力学与信号估计理论联系起来。通过采用带损伤的固体多尺度本构模型，对单向受拉裂纹板的裂纹密度均值和裂纹取向分布的估算模型和算法进行了探索性研究。仿真结果表明，该框架和算法在恢复裂纹取向方面具有合理的性能。

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