Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem using Simulated Data

Structural health monitoring (SHM) is a promising field with widespread application in civil engineering. Structural health monitoring has the potential to make structures safer by observing both long-term structural changes and immediate postdisaster damage. However, the many SHM studies in the lit...

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Main Authors: Johnson, E. A., Lam, H. F., Katafygiotis, L. S., Beck, J. L.
Format: Article in Journal/Newspaper
Language:unknown
Published: American Society of Civil Engineers 2004
Subjects:
Online Access:https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(3
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spelling ftcaltechauth:oai:authors.library.caltech.edu:evnrm-tne54 2024-10-06T13:52:33+00:00 Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem using Simulated Data Johnson, E. A. Lam, H. F. Katafygiotis, L. S. Beck, J. L. 2004-01 https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(3 unknown American Society of Civil Engineers eprintid:33659 info:eu-repo/semantics/closedAccess Other Journal of Engineering Mechanics, 130(1), 3-15, (2004-01) Structural safety Damage assessment Bench marks Seismic response Data analysis info:eu-repo/semantics/article 2004 ftcaltechauth https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(3 2024-09-25T18:46:39Z Structural health monitoring (SHM) is a promising field with widespread application in civil engineering. Structural health monitoring has the potential to make structures safer by observing both long-term structural changes and immediate postdisaster damage. However, the many SHM studies in the literature apply different monitoring methods to different structures, making side-by-side comparison of the methods difficult. This paper details the first phase in a benchmark SHM problem organized under the auspices of the IASC–ASCE Structural Health Monitoring Task Group. The scale-model structure adopted for use in this benchmark problem is described. Then, two analytical models based on the structure—one a 12 degree of freedom (DOF) shear-building model, the other a 120-DOF model, both finite element based—are given. The damage patterns to be identified are listed as well as the types and number of sensors, magnitude of sensor noise, and so forth. MATLAB computer codes to generate the response data for the various cases are explained. The codes, as well as details of the ongoing Task Group activities, are available on the Task Group web site at . ©ASCE. The manuscript for this paper was submitted for review and possible publication on October 18, 2002; approved on March 25, 2003. The writers wish to thank the other members of the IASC–ASCE SHM Task Group for their assistance, suggestions, and cooperation in the development of this benchmark problem, particularly: Dionisio Bernal (Northeastern Univ.), Raimondo Betti (Columbia Univ.), Joel P. Conte (UCSD), Shirley J. Dyke (Wash. Univ. St. Louis), Sami F. Masri (Univ. of Southern California), Andrew Smyth (Columbia Univ.), and Carlos E. Ventura (Univ. of British Columbia). Thanks especially go to Professor Ventura for the photograph and the properties of the UBC frame, and to Professor Conte for assistance in calibrating the finite element models described herein. The writers also gratefully acknowledge the partial support of this research by the National ... Article in Journal/Newspaper sami Caltech Authors (California Institute of Technology) St. Louis ENVELOPE(-67.496,-67.496,-67.132,-67.132) Smyth ENVELOPE(164.667,164.667,-67.617,-67.617)
institution Open Polar
collection Caltech Authors (California Institute of Technology)
op_collection_id ftcaltechauth
language unknown
topic Structural safety
Damage assessment
Bench marks
Seismic response
Data analysis
spellingShingle Structural safety
Damage assessment
Bench marks
Seismic response
Data analysis
Johnson, E. A.
Lam, H. F.
Katafygiotis, L. S.
Beck, J. L.
Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem using Simulated Data
topic_facet Structural safety
Damage assessment
Bench marks
Seismic response
Data analysis
description Structural health monitoring (SHM) is a promising field with widespread application in civil engineering. Structural health monitoring has the potential to make structures safer by observing both long-term structural changes and immediate postdisaster damage. However, the many SHM studies in the literature apply different monitoring methods to different structures, making side-by-side comparison of the methods difficult. This paper details the first phase in a benchmark SHM problem organized under the auspices of the IASC–ASCE Structural Health Monitoring Task Group. The scale-model structure adopted for use in this benchmark problem is described. Then, two analytical models based on the structure—one a 12 degree of freedom (DOF) shear-building model, the other a 120-DOF model, both finite element based—are given. The damage patterns to be identified are listed as well as the types and number of sensors, magnitude of sensor noise, and so forth. MATLAB computer codes to generate the response data for the various cases are explained. The codes, as well as details of the ongoing Task Group activities, are available on the Task Group web site at . ©ASCE. The manuscript for this paper was submitted for review and possible publication on October 18, 2002; approved on March 25, 2003. The writers wish to thank the other members of the IASC–ASCE SHM Task Group for their assistance, suggestions, and cooperation in the development of this benchmark problem, particularly: Dionisio Bernal (Northeastern Univ.), Raimondo Betti (Columbia Univ.), Joel P. Conte (UCSD), Shirley J. Dyke (Wash. Univ. St. Louis), Sami F. Masri (Univ. of Southern California), Andrew Smyth (Columbia Univ.), and Carlos E. Ventura (Univ. of British Columbia). Thanks especially go to Professor Ventura for the photograph and the properties of the UBC frame, and to Professor Conte for assistance in calibrating the finite element models described herein. The writers also gratefully acknowledge the partial support of this research by the National ...
format Article in Journal/Newspaper
author Johnson, E. A.
Lam, H. F.
Katafygiotis, L. S.
Beck, J. L.
author_facet Johnson, E. A.
Lam, H. F.
Katafygiotis, L. S.
Beck, J. L.
author_sort Johnson, E. A.
title Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem using Simulated Data
title_short Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem using Simulated Data
title_full Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem using Simulated Data
title_fullStr Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem using Simulated Data
title_full_unstemmed Phase I IASC-ASCE Structural Health Monitoring Benchmark Problem using Simulated Data
title_sort phase i iasc-asce structural health monitoring benchmark problem using simulated data
publisher American Society of Civil Engineers
publishDate 2004
url https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(3
long_lat ENVELOPE(-67.496,-67.496,-67.132,-67.132)
ENVELOPE(164.667,164.667,-67.617,-67.617)
geographic St. Louis
Smyth
geographic_facet St. Louis
Smyth
genre sami
genre_facet sami
op_source Journal of Engineering Mechanics, 130(1), 3-15, (2004-01)
op_relation eprintid:33659
op_rights info:eu-repo/semantics/closedAccess
Other
op_doi https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(3
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