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| Title: | Distributed crack sensors featuring unique memory capability for post-earthquake condition assessment of RC structures |
| Author (s): | Chen, Genda McDaniel, Ryan Sun, Shishuang Pommerenke, David Drewniak, James L. |
| Department/Lab Affiliations: | Center for Infrastructure Engineering Studies Civil, Architectural & Environmental Engineering Electrical and Computer Engineering Electromagnetic Compatibility Laboratory Materials Research Center Materials Science & Engineering Natural Hazard Mitigation Institute (NHMI) University Transportation Center |
| Keywords: | crack detection and localization post-disaster condition assessment sensors shake table tests |
| Subject Terms: | Nondestructive testing. |
| Issue Date: | 2005-01 |
| Publisher: | Techno Press |
| Citation: | Chen, Genda., McDaniel, Ryan., Sun, Shishuang., Pommerenke, David., and Drweniak, James. "Distributed Crack Sensors Featuring Unique Memory Capability for Post-Earthquake Condition Assessment of RC Structures.", Journal of Smart Structures and Systems, vol. 1, no. 2, 2005. |
| Abstract: | A new design of distributed crack sensors based on the topological change of transmission line cables is presented for the condition assessment of reinforced concrete (RC) structures during and immediately after an earthquake event. This study is primarily focused on the performance of cable sensors under dynamic loading, particularly a feature that allows for some ?emory?of the crack history of an RC member. This feature enables the post-earthquake condition assessment of structural members such as RC columns, in which the earthquake-induced cracks are closed immediately after an earthquake event due to gravity loads, and are visually undetectable. Factors affecting the onset of the feature were investigated experimentally with small-scale RC beams under cyclic loading. Test results indicated that both crack width and the number of loading cycles were instrumental in the onset of the memory feature of cable sensors. Practical issues related to dynamic acquisition with the sensors are discussed. The sensors were proven to be fatigue resistant from shake table tests of RC columns. The sensors continued to show useful performance after the columns can no longer support additional loads. |
| Type: | Article - Journal text |
| In Title: | Journal of Smart Structures and Systems |
| Copyright Notice: | Policy Unknown, no full text to be uploaded This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: |
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| title | Distributed crack sensors featuring unique memory capability for post-earthquake condition assessment of RC structures |
| contributor.author | Chen, Genda |
| contributor.author | McDaniel, Ryan |
| contributor.author | Sun, Shishuang |
| contributor.author | Pommerenke, David |
| contributor.author | Drewniak, James L. |
| contributor.deptlab | Center for Infrastructure Engineering Studies |
| contributor.deptlab | Civil, Architectural & Environmental Engineering |
| contributor.deptlab | Electrical and Computer Engineering |
| contributor.deptlab | Electromagnetic Compatibility Laboratory |
| contributor.deptlab | Materials Research Center |
| contributor.deptlab | Materials Science & Engineering |
| contributor.deptlab | Natural Hazard Mitigation Institute (NHMI) |
| contributor.deptlab | University Transportation Center |
| subject | crack detection and localization |
| subject | post-disaster condition assessment |
| subject | sensors |
| subject | shake table tests |
| subject.LCSH | Nondestructive testing. |
| date.issued | 2005-01 |
| publisher | Techno Press |
| identifier.citation | Chen, Genda., McDaniel, Ryan., Sun, Shishuang., Pommerenke, David., and Drweniak, James. "Distributed Crack Sensors Featuring Unique Memory Capability for Post-Earthquake Condition Assessment of RC Structures.", Journal of Smart Structures and Systems, vol. 1, no. 2, 2005. |
| identifier.pub.URI | |
| description.abstract | A new design of distributed crack sensors based on the topological change of transmission line cables is presented for the condition assessment of reinforced concrete (RC) structures during and immediately after an earthquake event. This study is primarily focused on the performance of cable sensors under dynamic loading, particularly a feature that allows for some ?emory?of the crack history of an RC member. This feature enables the post-earthquake condition assessment of structural members such as RC columns, in which the earthquake-induced cracks are closed immediately after an earthquake event due to gravity loads, and are visually undetectable. Factors affecting the onset of the feature were investigated experimentally with small-scale RC beams under cyclic loading. Test results indicated that both crack width and the number of loading cycles were instrumental in the onset of the memory feature of cable sensors. Practical issues related to dynamic acquisition with the sensors are discussed. The sensors were proven to be fatigue resistant from shake table tests of RC columns. The sensors continued to show useful performance after the columns can no longer support additional loads. |
| type | Article - Journal |
| type.DCMIType | text |
| rights | Policy Unknown, no full text to be uploaded |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights.URI | |
| relation.isPartOf | Journal of Smart Structures and Systems |
| date.available | 2008-06-13T20:35:12Z |
| identifier.persist.URI |