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首页> 外文会议>3rd International Workshop on Structural Health Monitoring, Sep 12-14, 2001, Stanford University >Overview of Uncertainty Assessment for Structural Health Monitoring
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Overview of Uncertainty Assessment for Structural Health Monitoring

机译：结构健康监测不确定度评估概述

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摘要

Uncertainty quantification is an emergent field in engineering mechanics that makes use of statistical sampling, hypothesis testing and input-output effect analysis to characterize the effect that parametric and non-parametric uncertainty has on physical experiment or numerical simulation output. This publication overviews a project at Los Alamos National Laboratory that aims at developing a methodology for quantifying uncertainty and assessing the total predictability of structural dynamics simulations. The propagation of parametric variability through numerical simulations is discussed. Uncertainty assessment is also a critical component of model validation, where the total error between physical observation and model prediction must be characterized. The purpose of model validation is to assess the extent to which a model is an appropriate representation of reality, given the purpose intended for the numerical simulation and its domain of applicability. The discussion is illustrated with component-level and system-level validation experiments that feature the response of nonlinear models to impulse excitation sources. This publication is unclassified; it has been approved for unlimited, public release (LA-UR-01-3828).
机译：不确定性量化是工程力学中的一个新兴领域，它利用统计抽样，假设检验和投入产出效应分析来表征参数和非参数不确定性对物理实验或数值模拟输出的影响。该出版物概述了洛斯阿拉莫斯国家实验室的一个项目，该项目旨在开发一种量化不确定性和评估结构动力学模拟的总体可预测性的方法。通过数值模拟讨论了参数变异性的传播。不确定性评估也是模型验证的关键组成部分，其中必须描述物理观测和模型预测之间的总误差。给定数值模拟的目的及其适用范围，模型验证的目的是评估模型在多大程度上可以正确地表示现实。讨论通过组件级和系统级验证实验进行了说明，这些实验以非线性模型对脉冲激励源的响应为特征。该出版物未分类；它已获准无限制公开发布（LA-UR-01-3828）。

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