Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten

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1. Verfasser: Huang, Tianxiang (VerfasserIn)
Format: Abschlussarbeit Buch
Sprache:English
Veröffentlicht: Düren Shaker Verlag 2020
Schriftenreihe:Aachener Berichte aus dem Leichtbau Band 1/2020
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Datensatz im Suchindex

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adam_text INHALTSVERZEICHNIS ACKNOWLEDGMENT I ABSTRACT III LIST OF FIGURES XII LIST OF TABLES XIII NOMENCLATURE XV 1 INTRODUCTION 1 1.1 MOTIVATION ........................................................................................................... 1 1.2 STATE OF THE ART ................................................................................................. 5 1.2.1 VIBRATION-BASED SHM ............................................................................ 5 1.2.2 PROBABILISTIC APPROACHES IN VIBRATION-BASED SHM ........................... 7 1.2.3 PERTURBATION METHOD FOR THE DYNAMIC RESPONSE .................................. 9 1.3 OBJECTIVE AND SCOPE OF THE THESIS ................................................................... 9 2 PRINCIPLES OF THE NODIS METHOD 13 2.1 THE RESPONSES OF THE NODIS ............................................................................ 13 2.1.1 BEAM-TYPE STRUCTURES ............................................................................ 13 2.1.2 PLATE-TYPE STRUCTURES ............................................................................ 17 2.2 DISCUSSION ON OTHER BOUNDARY CONDITIONS ....................................................... 20 2.3 DISCUSSION ON THE TEMPERATURE-INDUCED LOAD ................................................. 24 2.4 SUMMARY OF RESULTS ........................................................................................... 27 3 BAYESIAN PROBABILISTIC IDENTIFICATION FRAMEWORK 29 3.1 THE BAYES * RULE ................................................................................................. 29 3.2 FORMULATION OF THE POSTERIOR PROBABILITY DISTRIBUTION ......................................... 32 3.3 SUMMARY OF RESULTS ........................................................................................... 33 4 PERTURBATION-BASED SURROGATE MODEL 35 4.1 PERTURBATION SOLUTION FOR BEAM-TYPE STRUCTURES .............................................. 35 4.1.1 VALIDATION OF THE SURROGATE MODEL FOR BEAM-TYPE STRUCTURES ............ 40 4.2 PERTURBATION SOLUTION FOR PLATE-TYPE STRUCTURES .............................................. 44 4.2.1 VALIDATION OF THE SURROGATE MODEL FOR PLATE-TYPE STRUCTURES .............. 47 4.3 SUMMARY OF RESULTS ........................................................................................... 49 VIII INHALTSVERZEICHNIS 5 VALIDATION OF THE NODIS-BASED METHOD 53 5.1 DAMAGE DETECTION ON BEAM-TYPE STRUCTURES WITH DECISION TREE ..................... 53 5.1.1 DAMAGE LOCATION PROCEDURE ................................................................ 53 5.1.2 NUMERICAL VALIDATION ............................................................................ 56 5.1.3 EXPERIMENTAL VALIDATION WITH SAW CUT ................................................. 57 5.1.4 PARAMETRIC STUDIES OF THE METHOD ....................................................... 62 5.2 DAMAGE IDENTIFICATION ON BEAM-TYPE STRUCTURES WITH THE BAYESIAN FRAMEWORK 65 5.2.1 BAYESIAN FRAMEWORK WITH FE MODEL .................................................... 66 5.2.2 BAYESIAN FRAMEWORK WITH THE PERTURBATION METHOD ......................... 68 5.3 DAMAGE IDENTIFICATION ON PLATE-TYPE STRUCTURES WITH THE BAYESIAN FRAMEWORK 70 5.3.1 BAYESIAN FRAMEWORK WITH THE FE MODEL .............................................. 70 5.3.2 BAYESIAN FRAMEWORK WITH THE PERTURBATION METHOD ......................... 74 5.4 SUMMARY OF RESULTS ............................................................................................ 77 6 APPLICATION OF THE NODIS-BASED BAYESIAN FRAMEWORK 79 6.1 DAMAGE IDENTIFICATION ON A SAILPLANE BEAM UNDER CHANGING ENVIRONMENT . . 79 6.1.1 EXPERIMENTAL SETTINGS ............................................................................ 79 6.1.2 CONSTRUCTION OF THE SURROGATE MODEL ................................................. 81 6.1.3 NODIS MEASUREMENT ............................................................................ 83 6.1.4 DAMAGE CHARACTERIZATION WITH THE BAYESIAN FRAMEWORK ............... . 86 6.2 DAMAGE IDENTIFICATION ON A CFRP SANDWICH PANEL ........................................ 89 6.2.1 EXPERIMENTAL SETTINGS ............................................................................ 90 6.2.2 CONSTRUCTION OF THE SURROGATE MODEL ................................................... 91 6.2.3 NODIS MEASUREMENT ............................................................................ 94 6.2.4 DAMAGE CHARACTERIZATION WITH THE BAYESIAN FRAMEWORK ........................ 95 6.3 SUMMARY OF RESULTS ............................................................................................ 99 7 CONCLUSION AND OUTLOOK 101 7.1 SUMMARY AND CONCLUDING REMARKS ..................................................................... 101 7.2 FUTURE RESEARCH .................................................................................................... 102 BIBLIOGRAPHY 105
adam_txt INHALTSVERZEICHNIS ACKNOWLEDGMENT I ABSTRACT III LIST OF FIGURES XII LIST OF TABLES XIII NOMENCLATURE XV 1 INTRODUCTION 1 1.1 MOTIVATION . 1 1.2 STATE OF THE ART . 5 1.2.1 VIBRATION-BASED SHM . 5 1.2.2 PROBABILISTIC APPROACHES IN VIBRATION-BASED SHM . 7 1.2.3 PERTURBATION METHOD FOR THE DYNAMIC RESPONSE . 9 1.3 OBJECTIVE AND SCOPE OF THE THESIS . 9 2 PRINCIPLES OF THE NODIS METHOD 13 2.1 THE RESPONSES OF THE NODIS . 13 2.1.1 BEAM-TYPE STRUCTURES . 13 2.1.2 PLATE-TYPE STRUCTURES . 17 2.2 DISCUSSION ON OTHER BOUNDARY CONDITIONS . 20 2.3 DISCUSSION ON THE TEMPERATURE-INDUCED LOAD . 24 2.4 SUMMARY OF RESULTS . 27 3 BAYESIAN PROBABILISTIC IDENTIFICATION FRAMEWORK 29 3.1 THE BAYES * RULE . 29 3.2 FORMULATION OF THE POSTERIOR PROBABILITY DISTRIBUTION . 32 3.3 SUMMARY OF RESULTS . 33 4 PERTURBATION-BASED SURROGATE MODEL 35 4.1 PERTURBATION SOLUTION FOR BEAM-TYPE STRUCTURES . 35 4.1.1 VALIDATION OF THE SURROGATE MODEL FOR BEAM-TYPE STRUCTURES . 40 4.2 PERTURBATION SOLUTION FOR PLATE-TYPE STRUCTURES . 44 4.2.1 VALIDATION OF THE SURROGATE MODEL FOR PLATE-TYPE STRUCTURES . 47 4.3 SUMMARY OF RESULTS . 49 VIII INHALTSVERZEICHNIS 5 VALIDATION OF THE NODIS-BASED METHOD 53 5.1 DAMAGE DETECTION ON BEAM-TYPE STRUCTURES WITH DECISION TREE . 53 5.1.1 DAMAGE LOCATION PROCEDURE . 53 5.1.2 NUMERICAL VALIDATION . 56 5.1.3 EXPERIMENTAL VALIDATION WITH SAW CUT . 57 5.1.4 PARAMETRIC STUDIES OF THE METHOD . 62 5.2 DAMAGE IDENTIFICATION ON BEAM-TYPE STRUCTURES WITH THE BAYESIAN FRAMEWORK 65 5.2.1 BAYESIAN FRAMEWORK WITH FE MODEL . 66 5.2.2 BAYESIAN FRAMEWORK WITH THE PERTURBATION METHOD . 68 5.3 DAMAGE IDENTIFICATION ON PLATE-TYPE STRUCTURES WITH THE BAYESIAN FRAMEWORK 70 5.3.1 BAYESIAN FRAMEWORK WITH THE FE MODEL . 70 5.3.2 BAYESIAN FRAMEWORK WITH THE PERTURBATION METHOD . 74 5.4 SUMMARY OF RESULTS . 77 6 APPLICATION OF THE NODIS-BASED BAYESIAN FRAMEWORK 79 6.1 DAMAGE IDENTIFICATION ON A SAILPLANE BEAM UNDER CHANGING ENVIRONMENT . . 79 6.1.1 EXPERIMENTAL SETTINGS . 79 6.1.2 CONSTRUCTION OF THE SURROGATE MODEL . 81 6.1.3 NODIS MEASUREMENT . 83 6.1.4 DAMAGE CHARACTERIZATION WITH THE BAYESIAN FRAMEWORK . . 86 6.2 DAMAGE IDENTIFICATION ON A CFRP SANDWICH PANEL . 89 6.2.1 EXPERIMENTAL SETTINGS . 90 6.2.2 CONSTRUCTION OF THE SURROGATE MODEL . 91 6.2.3 NODIS MEASUREMENT . 94 6.2.4 DAMAGE CHARACTERIZATION WITH THE BAYESIAN FRAMEWORK . 95 6.3 SUMMARY OF RESULTS . 99 7 CONCLUSION AND OUTLOOK 101 7.1 SUMMARY AND CONCLUDING REMARKS . 101 7.2 FUTURE RESEARCH . 102 BIBLIOGRAPHY 105
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spelling Huang, Tianxiang Verfasser (DE-588)1215269919 aut
Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten Tianxiang Huang
Bayesian probabilistic damage identification utilizing NODIS
Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten
Düren Shaker Verlag 2020
xviii, 113 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 201 g
txt rdacontent
n rdamedia
nc rdacarrier
Aachener Berichte aus dem Leichtbau Band 1/2020
Abweichender Titel auf dem Buchrücken
Dissertation RWTH Aachen University 2020
Englische und deutsche Zusammenfassung
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Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf
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Stehende Welle (DE-588)4183006-4 gnd rswk-swf
Schwingungsmessung (DE-588)1148342079 gnd rswk-swf
Structural Health Monitoring (DE-588)1088793878 gnd rswk-swf
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spellingShingle Huang, Tianxiang
Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten
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title Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten
title_alt Bayesian probabilistic damage identification utilizing NODIS
Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten
title_auth Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten
title_exact_search Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten
title_exact_search_txtP Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten
title_full Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten Tianxiang Huang
title_fullStr Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten Tianxiang Huang
title_full_unstemmed Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten Tianxiang Huang
title_short Bayesian probabilistic damage identification using responses at vibration nodes
title_sort bayesian probabilistic damage identification using responses at vibration nodes bayessche probabilistische schadensidentifikation mittels antworten an schwingungsknoten
title_sub = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten
topic Luftfahrzeugtechnik (DE-588)4036563-3 gnd
Bayes-Verfahren (DE-588)4204326-8 gnd
Echtzeitsystem (DE-588)4131397-5 gnd
Knotenpunkt (DE-588)4164316-1 gnd
Stehende Welle (DE-588)4183006-4 gnd
Schwingungsmessung (DE-588)1148342079 gnd
Structural Health Monitoring (DE-588)1088793878 gnd
topic_facet Luftfahrzeugtechnik
Bayes-Verfahren
Echtzeitsystem
Knotenpunkt
Stehende Welle
Schwingungsmessung
Structural Health Monitoring
Hochschulschrift
url http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032317293&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv AT huangtianxiang bayesianprobabilisticdamageidentificationusingresponsesatvibrationnodesbayesscheprobabilistischeschadensidentifikationmittelsantwortenanschwingungsknoten
AT shakerverlag bayesianprobabilisticdamageidentificationusingresponsesatvibrationnodesbayesscheprobabilistischeschadensidentifikationmittelsantwortenanschwingungsknoten
AT huangtianxiang bayesianprobabilisticdamageidentificationutilizingnodis
AT shakerverlag bayesianprobabilisticdamageidentificationutilizingnodis
AT huangtianxiang bayesscheprobabilistischeschadensidentifikationmittelsantwortenanschwingungsknoten
AT shakerverlag bayesscheprobabilistischeschadensidentifikationmittelsantwortenanschwingungsknoten