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Metaization concept for structural health monitoring

结构健康监测的元化概念

基本信息

批准号：
327304938
负责人：
Professor Dr.-Ing. Kay Smarsly
金额：
--
依托单位：
Institut für Digitales und Autonomes Bauen B-1
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2016
资助国家：
德国
起止时间：
2015-12-31 至 2021-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/327304938?language=en
关键词：
Metaization concept structural health monitoring

项目摘要

With the advances in information and communication technologies and the pervasive informatization in civil engineering (Industry 4.0, Internet of Things, Digital Engineering), structural health monitoring based on decentralized sensor networks is increasingly drawing research attention. For automated structural health monitoring, interacting (wireless or tethered) sensor nodes, equipped with embedded intelligence, are spatially distributed in civil infrastructure systems. Referred to as "smart structures" or "intelligent infrastructure", the sensor nodes are capable of autonomously collecting sensor data and, using embedded algorithms, of processing and analyzing sensor data on board in real time. Recent research projects have demonstrated that not only algorithms can be embedded into the sensor nodes; using appropriate decomposition strategies, also models can be embedded into the sensor nodes, such as hybrid, multi-coupled numerical models, which digitally represent the monitored structure in a fully decentralized manner. Thus, it can be expected that next-generation assessment of civil infrastructure is no longer either monitoring-based or model-based. Instead, a new multi-paradigm approach evolves, merging monitoring-based and model-based structural assessment. To precisely evaluate the quality of the structural assessment, which is not sufficiently possible using current state-of-the-art methods, the proposed research project aims at developing a metaization concept, resulting in a holistic metamodel architecture. The technological nucleus of the metamodel architecture - the metamodel - is a metalinguistic instrument to be used for holistic modeling and digital representation of structural health monitoring (SHM) systems, including all system components and relationships (also: "couplings", "relations" or, in a mathematical sense, "transfer functions") between the system components. As a result, it is expected that the well-defined formalism provided by the metamodel architecture enables a lifecycle-oriented documentation and a continuous updating of all monitoring-related information. In consequence, the monitoring quality, and thus the quality of structural assessment, can substantially be enhanced. The central question related to the principle of parsimony within SHM, commonly known as "Ockham's razors", is to be is to be answered: How complex and resource-consuming must the models be and how simple and resource-efficient can the models be in order to meet the requirements imposed on the quality of structural assessment? To validate the proposed metaization concept, different model classes relevant to typical SHM problems will be considered in a multi-stage validation strategy, using both laboratory tests as well as sensor data taken from civil infrastructure systems in operation.

随着信息和通信技术的进步以及土木工程信息化（工业4.0、物联网、数字工程）的普及，基于分散式传感器网络的结构健康监测越来越受到研究关注。对于自动化结构健康监测，配备嵌入式智能的交互（无线或系留）传感器节点在空间上分布在民用基础设施系统中。传感器节点被称为“智能结构”或“智能基础设施”，能够自主收集传感器数据，并使用嵌入式算法实时处理和分析船上的传感器数据。最近的研究项目表明，不仅算法可以嵌入到传感器节点中，而且还可以嵌入到传感器节点中。使用适当的分解策略，模型也可以嵌入到传感器节点中，例如混合、多耦合数值模型，它们以完全分散的方式数字化地表示受监控的结构。因此，可以预期，下一代民用基础设施评估将不再基于监测或基于模型。相反，一种新的多范式方法不断发展，融合了基于监测和基于模型的结构评估。为了精确评估结构评估的质量（使用当前最先进的方法还不足以实现这一点），拟议的研究项目旨在开发元化概念，从而形成整体元模型架构。元模型架构的技术核心 - 元模型 - 是一种元语言工具，用于结构健康监测 (SHM) 系统的整体建模和数字表示，包括所有系统组件和系统组件之间的关系（也：“耦合”、“关系”或数学意义上的“传递函数”）。因此，元模型架构提供的明确定义的形式有望实现面向生命周期的文档以及所有与监控相关的信息的持续更新。因此，可以大大提高监测质量，从而提高结构评估的质量。与 SHM 中的简约原则（通常称为“奥卡姆剃刀”）相关的核心问题需要回答：模型必须有多复杂和资源消耗，以及模型必须有多简单和资源高效才能满足结构评估质量的要求？为了验证所提出的元化概念，将在多阶段验证策略中考虑与典型 SHM 问题相关的不同模型类别，同时使用实验室测试以及从运行中的民用基础设施系统获取的传感器数据。