Protocol for Reliability Assessment of Structural Health Monitoring Systems Incorporating Model-assisted Probability of Detection (MAPOD) Approach

Protocol for Reliability Assessment of Structural Health Monitoring Systems Incorporating Model-assisted Probability of Detection (MAPOD) Approach
复制标题

结合模型辅助检测概率 (MAPOD) 方法的结构健康监测系统可靠性评估协议

DOI:
--
复制
发表时间:
2011
期刊:
影响因子:
--
通讯作者:
J. Knopp
J. Knopp
中科院分区:
--
文献类型:
--
作者:
J. Aldrin;E. Medina;E. Lindgren;C. Buynak;J. Knopp

文献摘要

被引文献

相似文献

摘要:本文将描述 SHM 系统可靠性评估方法的开发进展。该方法包括开发和使用适当的 SHM 系统可靠性统计指标,用于检测、定位和/或确定损坏的大小,以及设计用于利用经验数据、模型、模拟和不确定性分析来统计表征这些系统的协议。该协议包括几个关键步骤:用于分析 SHM 系统的所有相关特性以确定影响系统性能的关键因素的程序、系统验证的多阶段方法、用于有效解决各种损坏和操作条件的建模和实验方法,以及根据 SHM 系统类型和功能评估适当的可靠性指标的有效方法。该协议的一个关键方面是,通过解决模型中的可变性并最大限度地减少表示中无法解释的错误,将需要更少的实验数据来解决评估中的总未知数。将详细介绍这些方法在协议中的应用,包括使用基于模拟的案例研究的几个演示。
Abstract : This paper will describe the progress in the development of a methodology for reliability assessment for SHM systems. The methodology consists of the development and use of appropriate statistical metrics of reliability for SHM systems that detect, localize, and/or size damage, and a protocol designed for utilizing empirical data, models, simulations, and uncertainty analyses for statistically characterizing these systems. The protocol comprises several critical steps: a procedure for analyzing all pertinent characteristics of the SHM system to identify the critical factors that affect system performance, a multistage approach to system validation, a modeling and experimental methodology for efficiently addressing a wide range of damage and operational conditions, and effective methods for evaluating the appropriate metrics of reliability depending on the SHM system type and function. A critical aspect of the protocol is that by addressing variability in the model and minimizing unexplained error in the representation, less experimental data will be required to address the total unknowns in the evaluation. The application of these methods in the protocol will be presented in detail including several demonstrations using simulation-based case studies.