Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building
Tall buildings are ubiquitous in major cities and house the homes and workplaces of many individuals. However, relatively few studies have been carried out to study the dynamic characteristics of tall buildings based on field measurements. In this paper, the dynamic behavior of the Green Building, a...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
MDPI AG
2016
|
| Online Access: | http://hdl.handle.net/1721.1/105930 https://orcid.org/0000-0002-7712-7478 |
| _version_ | 1826201218542731264 |
|---|---|
| author | Cha, Young-Jin Trocha, Peter Buyukozturk, Oral |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Cha, Young-Jin Trocha, Peter Buyukozturk, Oral |
| author_sort | Cha, Young-Jin |
| collection | MIT |
| description | Tall buildings are ubiquitous in major cities and house the homes and workplaces of many individuals. However, relatively few studies have been carried out to study the dynamic characteristics of tall buildings based on field measurements. In this paper, the dynamic behavior of the Green Building, a unique 21-story tall structure located on the campus of the Massachusetts Institute of Technology (MIT, Cambridge, MA, USA), was characterized and modeled as a simplified lumped-mass beam model (SLMM), using data from a network of accelerometers. The accelerometer network was used to record structural responses due to ambient vibrations, blast loading, and the October 16th 2012 earthquake near Hollis Center (ME, USA). Spectral and signal coherence analysis of the collected data was used to identify natural frequencies, modes, foundation rocking behavior, and structural asymmetries. A relation between foundation rocking and structural natural frequencies was also found. Natural frequencies and structural acceleration from the field measurements were compared with those predicted by the SLMM which was updated by inverse solving based on advanced multiobjective optimization methods using the measured structural responses and found to have good agreement. |
| first_indexed | 2024-09-23T11:48:22Z |
| format | Article |
| id | mit-1721.1/105930 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:48:22Z |
| publishDate | 2016 |
| publisher | MDPI AG |
| record_format | dspace |
| spelling | mit-1721.1/1059302022-09-27T22:02:44Z Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building Cha, Young-Jin Trocha, Peter Buyukozturk, Oral Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Buyukozturk, Oral Tall buildings are ubiquitous in major cities and house the homes and workplaces of many individuals. However, relatively few studies have been carried out to study the dynamic characteristics of tall buildings based on field measurements. In this paper, the dynamic behavior of the Green Building, a unique 21-story tall structure located on the campus of the Massachusetts Institute of Technology (MIT, Cambridge, MA, USA), was characterized and modeled as a simplified lumped-mass beam model (SLMM), using data from a network of accelerometers. The accelerometer network was used to record structural responses due to ambient vibrations, blast loading, and the October 16th 2012 earthquake near Hollis Center (ME, USA). Spectral and signal coherence analysis of the collected data was used to identify natural frequencies, modes, foundation rocking behavior, and structural asymmetries. A relation between foundation rocking and structural natural frequencies was also found. Natural frequencies and structural acceleration from the field measurements were compared with those predicted by the SLMM which was updated by inverse solving based on advanced multiobjective optimization methods using the measured structural responses and found to have good agreement. Royal Dutch-Shell Group 2016-12-22T14:54:35Z 2016-12-22T14:54:35Z 2016-07 2016-06 Article http://purl.org/eprint/type/JournalArticle 1424-8220 http://hdl.handle.net/1721.1/105930 Cha, Young-Jin, Peter Trocha, and Oral Büyüköztürk. “Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building.” Sensors 16.7 (2016): 1016. https://orcid.org/0000-0002-7712-7478 en_US http://dx.doi.org/10.3390/s16071016 Sensors Creative Commons Attribution 3.0 Unported licence http://creativecommons.org/licenses/by/3.0/ application/pdf MDPI AG MDPI |
| spellingShingle | Cha, Young-Jin Trocha, Peter Buyukozturk, Oral Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building |
| title | Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building |
| title_full | Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building |
| title_fullStr | Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building |
| title_full_unstemmed | Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building |
| title_short | Field Measurement-Based System Identification and Dynamic Response Prediction of a Unique MIT Building |
| title_sort | field measurement based system identification and dynamic response prediction of a unique mit building |
| url | http://hdl.handle.net/1721.1/105930 https://orcid.org/0000-0002-7712-7478 |
| work_keys_str_mv | AT chayoungjin fieldmeasurementbasedsystemidentificationanddynamicresponsepredictionofauniquemitbuilding AT trochapeter fieldmeasurementbasedsystemidentificationanddynamicresponsepredictionofauniquemitbuilding AT buyukozturkoral fieldmeasurementbasedsystemidentificationanddynamicresponsepredictionofauniquemitbuilding |