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A majority of structurally relevant damages in reinforced concrete structures create cracks (Bergmeister 1990). Especially on an early stage these cracks are difficult to detect and visual inspections as the only widely-accepted method to localize and evaluate cracks is time consuming and limited to accessible areas of the structure. Most global identification methods narrowing down the area of probable damage show a high dependency on environmental parameters or demand extensive measurements and engineering interpretation (Bolle & Bernd 2003). The project AIFT aims at methods resulting in simple identification and localization of local bending stiffness reductions in reinforced concrete bridges as significant help for detailed inspection. The paper demonstrates nonlinear studies on the correlation of cracks and bending stiffness changes which help to interpret identified local bending stiffness reductions. New approaches for such reduction identification and localization based on directly measured influence lines of load reaction at the bearings are introduced. First results of laboratory tests on two span reinforced concrete beams are presented. Prospects for further analysis of the laboratory tests and complementary field tests using influence lines and modal characteristics based identification methods are given.

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Citation

Please use this url to cite or link to this publication:

MLA
Hoffmann, Simon, et al. “Aifit- User Oriented Identification for Infrasturcture Sara- Part V.” PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON STRUCTURE HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE: STRUCTURAL HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE, Ishmii-int Soc Structural Health Monitoring Intelligent Infrastructure, 2007.
APA
Hoffmann, S., Bergmeister, K., Wan-Wendner, R., & Strauss, A. (2007). Aifit- user oriented identification for infrasturcture sara- part V. In PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON STRUCTURE HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE: STRUCTURAL HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE. Manitoba: Ishmii-int Soc Structural Health Monitoring Intelligent Infrastructure.
Chicago author-date
Hoffmann, Simon, Konrad Bergmeister, Roman Wan-Wendner, and Alfred Strauss. 2007. “Aifit- User Oriented Identification for Infrasturcture Sara- Part V.” In PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON STRUCTURE HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE: STRUCTURAL HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE. Manitoba: Ishmii-int Soc Structural Health Monitoring Intelligent Infrastructure.
Chicago author-date (all authors)
Hoffmann, Simon, Konrad Bergmeister, Roman Wan-Wendner, and Alfred Strauss. 2007. “Aifit- User Oriented Identification for Infrasturcture Sara- Part V.” In PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON STRUCTURE HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE: STRUCTURAL HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE. Manitoba: Ishmii-int Soc Structural Health Monitoring Intelligent Infrastructure.
Vancouver
1.
Hoffmann S, Bergmeister K, Wan-Wendner R, Strauss A. Aifit- user oriented identification for infrasturcture sara- part V. In: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON STRUCTURE HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE: STRUCTURAL HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE. Manitoba: Ishmii-int Soc Structural Health Monitoring Intelligent Infrastructure; 2007.
IEEE
[1]
S. Hoffmann, K. Bergmeister, R. Wan-Wendner, and A. Strauss, “Aifit- user oriented identification for infrasturcture sara- part V,” in PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON STRUCTURE HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE: STRUCTURAL HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE, Vancouver, CANADA, 2007.
@inproceedings{8631125,
  abstract     = {A majority of structurally relevant damages in reinforced concrete structures create cracks (Bergmeister 1990). Especially on an early stage these cracks are difficult to detect and visual inspections as the only widely-accepted method to localize and evaluate cracks is time consuming and limited to accessible areas of the structure. Most global identification methods narrowing down the area of probable damage show a high dependency on environmental parameters or demand extensive measurements and engineering interpretation (Bolle & Bernd 2003). The project AIFT aims at methods resulting in simple identification and localization of local bending stiffness reductions in reinforced concrete bridges as significant help for detailed inspection. The paper demonstrates nonlinear studies on the correlation of cracks and bending stiffness changes which help to interpret identified local bending stiffness reductions. New approaches for such reduction identification and localization based on directly measured influence lines of load reaction at the bearings are introduced. First results of laboratory tests on two span reinforced concrete beams are presented. Prospects for further analysis of the laboratory tests and complementary field tests using influence lines and modal characteristics based identification methods are given.},
  author       = {Hoffmann, Simon and Bergmeister, Konrad and Wan-Wendner, Roman and Strauss, Alfred},
  booktitle    = {PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON STRUCTURE HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE: STRUCTURAL HEALTH MONITORING & INTELLIGENT INFRASTRUCTURE},
  isbn         = {9780973643046},
  language     = {eng},
  location     = {Vancouver, CANADA},
  pages        = {8},
  publisher    = {Ishmii-int Soc Structural Health Monitoring Intelligent Infrastructure},
  title        = {Aifit- user oriented identification for infrasturcture sara- part V},
  year         = {2007},
}

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