Planning low-error SHM strategy by constrained observability method
Structural identification using dynamical parameters (such as the natural vibration frequencies and mode shapes) is an important issue, especially in bridges or high-rise buildings. However, incorrect decisions could happen on the Structural Health Monitoring (SHM) strategy and the Structural System...
| Authors: | ; ; ; |
|---|---|
| Format: | Article |
| Publication date: | 2021 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/346480 |
| Online Access: | https://hdl.handle.net/2117/346480 https://dx.doi.org/10.1016/j.autcon.2021.103707 |
| Access Level: | Open access |
| Keyword: | Structural health monitoring Dynamic analysis Observability method Structural system identification Decision tree Monitorització de salut estructural Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures |
| _version_ | 1878737432206114816 |
|---|---|
| author | Peng, Tian |
| author2 | Nogal, María Casas Rius, Joan Ramon|||0000-0003-4473-4308 Turmo Coderque, José|||0000-0001-5001-2438 |
| author2_role | author author author |
| author_browse | Casas Rius, Joan Ramon|||0000-0003-4473-4308 Nogal, María Peng, Tian Turmo Coderque, José|||0000-0001-5001-2438 |
| author_facet | Peng, Tian Nogal, María Casas Rius, Joan Ramon|||0000-0003-4473-4308 Turmo Coderque, José|||0000-0001-5001-2438 |
| author_role | author |
| collection | UPCommons. Portal del coneixement obert de la UPC |
| description | Structural identification using dynamical parameters (such as the natural vibration frequencies and mode shapes) is an important issue, especially in bridges or high-rise buildings. However, incorrect decisions could happen on the Structural Health Monitoring (SHM) strategy and the Structural System Identification (SSI) analysis that makes the sometimes expensive and time-consuming process useless due to the large uncertainty of the resulting estimations. This paper discusses the role of the SHM strategy and the SSI analysis based on the constrained observability method (COM) and decision trees (DT) in reducing the estimation error. Here, the COM uses subsets of natural frequencies and/or modal-shapes to deal with the nonlinearity of the SSI derived from the operational aspects of the methods, and combines the unknown items including frequencies and mode shapes into an optimization process. Next, a decision-support tool based on decision trees is applied to help engineers to establish the best SHM + SSI strategy yielding the most accurate estimations. The principle and steps of this new method, the combination of constrained observability m,ethod and decision trees, are presented for the first time. After that, a numerical model of a bridge case is used to show how to choose the optimal strategy, when factors such as the structure layout, span length, measurement set, and parameters of the COM are included as decision variables. The importance ranking of these four factors is the layout, measurement set, parameters of the COM, and length through the sensitivity analysis of the COM estimated. Last, a real bridge is used to validate this methodology under the undamaged and damaged scenarios by comparing an Error Index, which shows the optimal SHM + SSI strategy works well no matter the bridge is damaged or not. The presented analysis leads to significant insights that can help the decision-making of the optimal SHM + SSI strategy, avoiding erroneous decisions if this tool is not used beforehand. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_9faeebe2cdc934a9c275fc95ea643bc1 |
| institution | Universitat Politècnica de Catalunya (UPC) |
| instname_str | Universitat Politècnica de Catalunya (UPC) |
| language | eng |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:upcommons.upc.edu:2117/346480 |
| publishDate | 2021 |
| publishDateSort | 2021 |
| reponame_str | UPCommons. Portal del coneixement obert de la UPC |
| spelling | Planning low-error SHM strategy by constrained observability method Peng, Tian Nogal, María Casas Rius, Joan Ramon|||0000-0003-4473-4308 Turmo Coderque, José|||0000-0001-5001-2438 Structural health monitoring Dynamic analysis Observability method Structural system identification Decision tree Monitorització de salut estructural Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures Structural identification using dynamical parameters (such as the natural vibration frequencies and mode shapes) is an important issue, especially in bridges or high-rise buildings. However, incorrect decisions could happen on the Structural Health Monitoring (SHM) strategy and the Structural System Identification (SSI) analysis that makes the sometimes expensive and time-consuming process useless due to the large uncertainty of the resulting estimations. This paper discusses the role of the SHM strategy and the SSI analysis based on the constrained observability method (COM) and decision trees (DT) in reducing the estimation error. Here, the COM uses subsets of natural frequencies and/or modal-shapes to deal with the nonlinearity of the SSI derived from the operational aspects of the methods, and combines the unknown items including frequencies and mode shapes into an optimization process. Next, a decision-support tool based on decision trees is applied to help engineers to establish the best SHM + SSI strategy yielding the most accurate estimations. The principle and steps of this new method, the combination of constrained observability m,ethod and decision trees, are presented for the first time. After that, a numerical model of a bridge case is used to show how to choose the optimal strategy, when factors such as the structure layout, span length, measurement set, and parameters of the COM are included as decision variables. The importance ranking of these four factors is the layout, measurement set, parameters of the COM, and length through the sensitivity analysis of the COM estimated. Last, a real bridge is used to validate this methodology under the undamaged and damaged scenarios by comparing an Error Index, which shows the optimal SHM + SSI strategy works well no matter the bridge is damaged or not. The presented analysis leads to significant insights that can help the decision-making of the optimal SHM + SSI strategy, avoiding erroneous decisions if this tool is not used beforehand. This work was mainly funded by the Chinese Scholarship Council through its program (No. 201808390083), which has been provided to Mrs. Peng. It is also to be noted that this work was partially funded by the Spanish Ministry of Economy and Competitiveness for the funding provided through the research projects BIA2013-47290-R and BIA2017-86811-C2-1-R founded with FEDER funds and directed by Professor José Turmo. Authors are also indebted to the Secretaria d’ Universitats i Recerca de la Generalitat de Catalunya for the funding provided through Agaur (2017 SGR 1481). Peer Reviewed https://hdl.handle.net/2117/346480 https://dx.doi.org/10.1016/j.autcon.2021.103707 |
| spellingShingle | Planning low-error SHM strategy by constrained observability method Peng, Tian Structural health monitoring Dynamic analysis Observability method Structural system identification Decision tree Monitorització de salut estructural Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures |
| title | Planning low-error SHM strategy by constrained observability method |
| title_full | Planning low-error SHM strategy by constrained observability method |
| title_fullStr | Planning low-error SHM strategy by constrained observability method |
| title_full_unstemmed | Planning low-error SHM strategy by constrained observability method |
| title_short | Planning low-error SHM strategy by constrained observability method |
| title_sort | Planning low-error SHM strategy by constrained observability method |
| topic | Structural health monitoring Dynamic analysis Observability method Structural system identification Decision tree Monitorització de salut estructural Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures |
| topic_facet | Structural health monitoring Dynamic analysis Observability method Structural system identification Decision tree Monitorització de salut estructural Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures |
| url | https://hdl.handle.net/2117/346480 https://dx.doi.org/10.1016/j.autcon.2021.103707 |