ST‐17AB: optimal sensor placement for non-linear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings
The focus of this study is on the selection of ideal sensor location through computational and hypothetical methods. A statistical approach is used to acquire the optimal sensor locations in a building. This will allow the selection of measured parameters which illustrates the structural behaviour....
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/10356/68162 |
| _version_ | 1826118375026196480 |
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| author | Kang, Teng Wee |
| author2 | Cheung Sai Hung |
| author_facet | Cheung Sai Hung Kang, Teng Wee |
| author_sort | Kang, Teng Wee |
| collection | NTU |
| description | The focus of this study is on the selection of ideal sensor location through computational and hypothetical methods. A statistical approach is used to acquire the optimal sensor locations in a building. This will allow the selection of measured parameters which illustrates the structural behaviour. The methodology can also be used for model updating, identifying structural damages and response prediction. Information entropy from a nominal model analysis generates a data, which is reviewed for the choosing of ideal locations for sensors placement. Thus, this methodology will account for the unavoidable uncertainties in model parameters. This methodology also increases the reliability of this study and its prediction. Prediction errors and parameter uncertainties will hinder the identification of statistical system. The errors and uncertainties can be determined by applying probability models. This assignment focuses on a building model with five storeys and degree of freedom (DOF). The optimal sensor configurations will be identified through the measurement of information entropy and Monte Carlo simulation. |
| first_indexed | 2024-10-01T04:42:43Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/68162 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:42:43Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/681622023-03-03T17:16:26Z ST‐17AB: optimal sensor placement for non-linear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings Kang, Teng Wee Cheung Sai Hung School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Structures and design The focus of this study is on the selection of ideal sensor location through computational and hypothetical methods. A statistical approach is used to acquire the optimal sensor locations in a building. This will allow the selection of measured parameters which illustrates the structural behaviour. The methodology can also be used for model updating, identifying structural damages and response prediction. Information entropy from a nominal model analysis generates a data, which is reviewed for the choosing of ideal locations for sensors placement. Thus, this methodology will account for the unavoidable uncertainties in model parameters. This methodology also increases the reliability of this study and its prediction. Prediction errors and parameter uncertainties will hinder the identification of statistical system. The errors and uncertainties can be determined by applying probability models. This assignment focuses on a building model with five storeys and degree of freedom (DOF). The optimal sensor configurations will be identified through the measurement of information entropy and Monte Carlo simulation. Bachelor of Engineering (Civil) 2016-05-24T07:32:07Z 2016-05-24T07:32:07Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68162 en Nanyang Technological University 70 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Civil engineering::Structures and design Kang, Teng Wee ST‐17AB: optimal sensor placement for non-linear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings |
| title | ST‐17AB: optimal sensor placement for non-linear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings |
| title_full | ST‐17AB: optimal sensor placement for non-linear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings |
| title_fullStr | ST‐17AB: optimal sensor placement for non-linear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings |
| title_full_unstemmed | ST‐17AB: optimal sensor placement for non-linear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings |
| title_short | ST‐17AB: optimal sensor placement for non-linear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings |
| title_sort | st 17ab optimal sensor placement for non linear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings |
| topic | DRNTU::Engineering::Civil engineering::Structures and design |
| url | http://hdl.handle.net/10356/68162 |
| work_keys_str_mv | AT kangtengwee st17aboptimalsensorplacementfornonlineardynamicmodelupdatingandresponsepredictionofcivilengineeringstructuressubjectedtofutureuncertaindynamicloadings |