| 书目名称 | Identification Methods for Structural Health Monitoring |
| 编辑 | Eleni Chatzi,Costas Papadimitriou |
| 视频video | |
| 概述 | Providing an overview of system identification techniques customized to fit the specific purpose of SHM.Illustrates the application of presented methodologies on actual field structures.Providing stat |
| 丛书名称 | CISM International Centre for Mechanical Sciences |
| 图书封面 |  |
| 描述 | The papers in this volume provide an introduction to well known and established system identification methods for structural health monitoring and to more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. Starting with an overview on fundamental methods, introductory concepts are provided on the general framework of time and frequency domain, parametric and non-parametric methods, input-output or output only techniques. Cutting edge tools are introduced including, nonlinear system identification methods; Bayesian tools; and advanced modal identification techniques (such as the Kalman and particle filters, the fast Bayesian FFT method). Advanced computational tools for uncertainty quantification are discussed to provide a link between monitoring and structural integrity assessment. In addition, full scale applications and field deployments that illustrate the workings and effectiveness of the introduced monitoring schemes are demonstrated. |
| 出版日期 | Book 2016 |
| 关键词 | Bayesian Computational Techniques; Nonlinear Structural Dynamics Models; Parametric Identification Met |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-32077-9 |
| isbn_softcover | 978-3-319-81190-1 |
| isbn_ebook | 978-3-319-32077-9Series ISSN 0254-1971 Series E-ISSN 2309-3706 |
| issn_series | 0254-1971 |
| copyright | CISM International Centre for Mechanical Sciences 2016 |
发表于 2025-3-21 16:11:01
