Bayesian probabilistic damage identification using responses at vibration nodes: = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Düren
Shaker Verlag
2020
|
| Schriftenreihe: | Aachener Berichte aus dem Leichtbau
Band 1/2020 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Abweichender Titel auf dem Buchrücken |
| Beschreibung: | xviii, 113 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 201 g |
| ISBN: | 9783844074635 3844074635 |
Internformat
MARC
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| 100 | 1 | |a Huang, Tianxiang |e Verfasser |0 (DE-588)1215269919 |4 aut | |
| 245 | 1 | 0 | |a Bayesian probabilistic damage identification using responses at vibration nodes |b = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten |c Tianxiang Huang |
| 246 | 1 | 3 | |a Bayesian probabilistic damage identification utilizing NODIS |
| 246 | 1 | 1 | |a Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten |
| 264 | 1 | |a Düren |b Shaker Verlag |c 2020 | |
| 300 | |a xviii, 113 Seiten |b Illustrationen, Diagramme |c 21 cm x 14.8 cm, 201 g | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Aachener Berichte aus dem Leichtbau |v Band 1/2020 | |
| 500 | |a Abweichender Titel auf dem Buchrücken | ||
| 502 | |b Dissertation |c RWTH Aachen University |d 2020 | ||
| 546 | |a Englische und deutsche Zusammenfassung | ||
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-032317293 | ||
Datensatz im Suchindex
| _version_ | 1804181785536364544 |
|---|---|
| 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 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Huang, Tianxiang |
| author_GND | (DE-588)1215269919 |
| author_facet | Huang, Tianxiang |
| author_role | aut |
| author_sort | Huang, Tianxiang |
| author_variant | t h th |
| building | Verbundindex |
| bvnumber | BV046907767 |
| ctrlnum | (DE-599)DNB1212196325 |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV046907767 |
| illustrated | Illustrated |
| index_date | 2024-07-03T15:27:00Z |
| indexdate | 2024-07-10T08:57:10Z |
| institution | BVB |
| institution_GND | (DE-588)1064118135 |
| isbn | 9783844074635 3844074635 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032317293 |
| open_access_boolean | |
| owner | DE-83 |
| owner_facet | DE-83 |
| physical | xviii, 113 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 201 g |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Shaker Verlag |
| record_format | marc |
| series2 | Aachener Berichte aus dem Leichtbau |
| 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 Luftfahrzeugtechnik (DE-588)4036563-3 gnd rswk-swf Bayes-Verfahren (DE-588)4204326-8 gnd rswk-swf Echtzeitsystem (DE-588)4131397-5 gnd rswk-swf Knotenpunkt (DE-588)4164316-1 gnd rswk-swf 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 (DE-588)4113937-9 Hochschulschrift gnd-content Structural Health Monitoring (DE-588)1088793878 s Echtzeitsystem (DE-588)4131397-5 s Schwingungsmessung (DE-588)1148342079 s Stehende Welle (DE-588)4183006-4 s Knotenpunkt (DE-588)4164316-1 s Bayes-Verfahren (DE-588)4204326-8 s Luftfahrzeugtechnik (DE-588)4036563-3 s DE-604 Shaker Verlag (DE-588)1064118135 pbl DNB Datenaustausch application/pdf 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 Inhaltsverzeichnis |
| spellingShingle | Huang, Tianxiang Bayesian probabilistic damage identification using responses at vibration nodes = Bayessche probabilistische Schadensidentifikation mittels Antworten an Schwingungsknoten 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 |
| subject_GND | (DE-588)4036563-3 (DE-588)4204326-8 (DE-588)4131397-5 (DE-588)4164316-1 (DE-588)4183006-4 (DE-588)1148342079 (DE-588)1088793878 (DE-588)4113937-9 |
| 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 |
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