Structural Health Monitoring Accounting for Thermal Variability and Damage using Approximate Bayesian Computation (Record no. 428405)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02062nam a2200241 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230609b |||||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | en. |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 624 |
| Item number | AKA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Yadav, Akash |
| 245 ## - TITLE STATEMENT | |
| Title | Structural Health Monitoring Accounting for Thermal Variability and Damage using Approximate Bayesian Computation |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Bangalore |
| Name of publisher, distributor, etc | IISc |
| Date of publication, distribution, etc | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | ix, 126p. |
| Other physical details | col. ill. ; |
| Dimensions | 29.1 cm * 20.5 cm |
| Accompanying material | e-Thesis |
| Size of unit | 4.611Mb |
| 500 ## - GENERAL NOTE | |
| General note | Include bibliographical references and index |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | MTech (Res); 2023; Civil engineering |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | In structural engineering, damage is characterized as a change in material property, boundary condition, or geometry. The changes in these properties/parameters lead to a change in the measured response. The difference in measurements can be due to actual damage in the member (due to crack formation, corrosion of rebars, or crushing of concrete), or it might be due to temperature variations while making measurements. Temperature variability significantly affects the accuracy of structural health monitoring strategies in quantifying structural damage. Performing damage detection without isolating/incorporating these variations can lead to false damage detection, i.e., the undamaged structure can be detected as damaged. Hence, a method is required to isolate the effect of these variabilities while detecting damage. Researchers have developed methods to analyze and separate the effects of environmental variability from damageinduced changes in the measures. The main two approaches are (a) data-based, which uses statistics-based tools for analyzing patterns in the data or compute parameters, and (b) model-based, where the method considers both environmental and damagebased changes of stiffness value. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Structural health monitoring |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Approximate Bayesian Computation |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Damage Detection |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Finite element updating |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ramaswamy, Ananth advised |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://etd.iisc.ac.in/handle/2005/6115 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis |
No items available.
