Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain)

Pachón, Pablo; Infantes, María; Cámara, Margarita; Compán, Víctor; García-Macías, Enrique; Friswell, Michael; Castro-Triguero, Rafael

doi:10.1016/j.engstruct.2019.109843

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Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain)

Pablo Pachón, María Infantes, Margarita Cámara, Víctor Compán, Enrique García-Macías, Michael Friswell, Rafael Castro-Triguero

Engineering Structures, Volume: 202, Start page: 109843

Swansea University Author: Michael Friswell

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DOI (Published version): 10.1016/j.engstruct.2019.109843

Abstract

In recent years, Structural Health Monitoring (SHM) based on Operational Modal Analysis (OMA) and damage detection tools has become a popular non-destructive solution to assess the real-time integrity of any kind of structure. This technique is especially well-suited for the condition-based conserva...

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Published in:	Engineering Structures
ISSN:	0141-0296
Published:	Elsevier BV 2020
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa52769

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In order to improve the robustness of the solution, material uncertainties are included in the model and the optimal sensor placement is conducted within a statistical framework. This methodology is presented and evaluated with a case study of a Spanish secular building: the Monastery of San Jerónimo de Buenavista in Seville (Spain). In particular, this paper presents the results of the preliminary ambient vibration test and the modal identification of the monastery, the updating process of the FE model, as well as a critical review of the different OSP techniques within a framework of material parameter uncertainty. 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spelling	2020-11-19T12:53:56.4791570 v2 52769 2019-11-18 Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain) 5894777b8f9c6e64bde3568d68078d40 Michael Friswell Michael Friswell true false 2019-11-18 In recent years, Structural Health Monitoring (SHM) based on Operational Modal Analysis (OMA) and damage detection tools has become a popular non-destructive solution to assess the real-time integrity of any kind of structure. This technique is especially well-suited for the condition-based conservation of historical structures, where minimal invasiveness must be ensured owing to their high cultural and architectural value. Optimal Sensor Placement (OSP) techniques represent a valuable tool for efficiently designing the sensor layout in a SHM system in order to achieve an effective modal identification with a reduced number of sensors and, consequently, an improved cost efficiency. In this light, this paper proposes a design methodology of sensor networks based on OSP techniques suitable for historical structures. To do so, a preliminary extensive OMA campaign is conducted in order to construct a reliable finite element (FE) model by fitting the identified modal properties. Afterwards, an optimal sensor arrangement with a limited number of sensors is obtained by applying different model-based OSP techniques. In order to improve the robustness of the solution, material uncertainties are included in the model and the optimal sensor placement is conducted within a statistical framework. This methodology is presented and evaluated with a case study of a Spanish secular building: the Monastery of San Jerónimo de Buenavista in Seville (Spain). In particular, this paper presents the results of the preliminary ambient vibration test and the modal identification of the monastery, the updating process of the FE model, as well as a critical review of the different OSP techniques within a framework of material parameter uncertainty. The presented analysis demonstrate that OSP techniques based on the rank optimization of the kinetic energy matrix of the structure yield robust sensor layout. Journal Article Engineering Structures 202 109843 Elsevier BV 0141-0296 Historical building, Uncertainty analysis, Operational modal analysis, Non-destructive test, Ambient vibration test 1 1 2020 2020-01-01 10.1016/j.engstruct.2019.109843 COLLEGE NANME COLLEGE CODE Swansea University 2020-11-19T12:53:56.4791570 2019-11-18T12:09:02.7015105 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Pablo Pachón 1 María Infantes 2 Margarita Cámara 3 Víctor Compán 4 Enrique García-Macías 5 Michael Friswell 6 Rafael Castro-Triguero 7 52769__15929__b5d8e9262f434fad8e5d792ddc84a1e0.pdf pachon2019.pdf 2019-11-21T10:08:00.8342781 Output 12492023 application/pdf Accepted Manuscript true 2020-11-09T00:00:00.0000000 ©2019 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title	Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain)
spellingShingle	Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain) Michael Friswell
title_short	Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain)
title_full	Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain)
title_fullStr	Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain)
title_full_unstemmed	Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain)
title_sort	Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain)
author_id_str_mv	5894777b8f9c6e64bde3568d68078d40
author_id_fullname_str_mv	5894777b8f9c6e64bde3568d68078d40_***_Michael Friswell
author	Michael Friswell
author2	Pablo Pachón María Infantes Margarita Cámara Víctor Compán Enrique García-Macías Michael Friswell Rafael Castro-Triguero
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institution	Swansea University
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description	In recent years, Structural Health Monitoring (SHM) based on Operational Modal Analysis (OMA) and damage detection tools has become a popular non-destructive solution to assess the real-time integrity of any kind of structure. This technique is especially well-suited for the condition-based conservation of historical structures, where minimal invasiveness must be ensured owing to their high cultural and architectural value. Optimal Sensor Placement (OSP) techniques represent a valuable tool for efficiently designing the sensor layout in a SHM system in order to achieve an effective modal identification with a reduced number of sensors and, consequently, an improved cost efficiency. In this light, this paper proposes a design methodology of sensor networks based on OSP techniques suitable for historical structures. To do so, a preliminary extensive OMA campaign is conducted in order to construct a reliable finite element (FE) model by fitting the identified modal properties. Afterwards, an optimal sensor arrangement with a limited number of sensors is obtained by applying different model-based OSP techniques. In order to improve the robustness of the solution, material uncertainties are included in the model and the optimal sensor placement is conducted within a statistical framework. This methodology is presented and evaluated with a case study of a Spanish secular building: the Monastery of San Jerónimo de Buenavista in Seville (Spain). In particular, this paper presents the results of the preliminary ambient vibration test and the modal identification of the monastery, the updating process of the FE model, as well as a critical review of the different OSP techniques within a framework of material parameter uncertainty. The presented analysis demonstrate that OSP techniques based on the rank optimization of the kinetic energy matrix of the structure yield robust sensor layout.
published_date	2020-01-01T02:14:14Z
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Evaluation of optimal sensor placement algorithms for the Structural Health Monitoring of architectural heritage. Application to the Monastery of San Jerónimo de Buenavista (Seville, Spain)

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