Details
| Original language | English |
|---|---|
| Title of host publication | Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014 |
| Editors | H.C. Rodrigues, C.M. Mota Soares, J.M. Guedes, A.L. Araújo, J.O. Folgado, J. Herskovits, F. Moleiro, J.F.A. Madeira |
| Pages | 193-198 |
| Number of pages | 6 |
| ISBN (electronic) | 9781138027251 |
| Publication status | Published - 2014 |
| Event | 4th International Conference on Engineering Optimization, ENGOPT 2014 - Lisbon, Portugal Duration: 8 Sept 2014 → 11 Sept 2014 |
Publication series
| Name | Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014 |
|---|
Abstract
Structural identification of dynamic parameters, namely: mass, damping and stiffness has become a growing research and development area and plays an important role in structural health monitoring. A structural identification scheme based on a modified adaptive harmony search algorithm with a modified search space reduction method (MAHS-MSSRM) is presented in this submission and its performance is compared with another well known identification scheme that is also based on optimization algorithms. More than 100 numerical studies performed on four two-dimensional shear buildings have been investigated. The structures cover a variety of DOFs ranging from 5-DOF to 50-DOF. Noise has been applied to input/output measurements to further simulate real data acquisition tools. The resulting identification accuracy and robustness were satisfying and show that the MAHS-MSSRM is superior to other well known optimization techniques. The satisfying results encourage further research and application of the proposed method on more sophisticated problems, for example: output only problems.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Control and Optimization
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Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014. ed. / H.C. Rodrigues; C.M. Mota Soares; J.M. Guedes; A.L. Araújo; J.O. Folgado; J. Herskovits; F. Moleiro; J.F.A. Madeira. 2014. p. 193-198 (Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Structural identification of two dimensional shear buildings using a modified adaptive harmony search algorithm
AU - Jahjouh, M. M.
AU - Nackenhorst, U.
N1 - Publisher Copyright: © 2015 Taylor & Francis Group, London.
PY - 2014
Y1 - 2014
N2 - Structural identification of dynamic parameters, namely: mass, damping and stiffness has become a growing research and development area and plays an important role in structural health monitoring. A structural identification scheme based on a modified adaptive harmony search algorithm with a modified search space reduction method (MAHS-MSSRM) is presented in this submission and its performance is compared with another well known identification scheme that is also based on optimization algorithms. More than 100 numerical studies performed on four two-dimensional shear buildings have been investigated. The structures cover a variety of DOFs ranging from 5-DOF to 50-DOF. Noise has been applied to input/output measurements to further simulate real data acquisition tools. The resulting identification accuracy and robustness were satisfying and show that the MAHS-MSSRM is superior to other well known optimization techniques. The satisfying results encourage further research and application of the proposed method on more sophisticated problems, for example: output only problems.
AB - Structural identification of dynamic parameters, namely: mass, damping and stiffness has become a growing research and development area and plays an important role in structural health monitoring. A structural identification scheme based on a modified adaptive harmony search algorithm with a modified search space reduction method (MAHS-MSSRM) is presented in this submission and its performance is compared with another well known identification scheme that is also based on optimization algorithms. More than 100 numerical studies performed on four two-dimensional shear buildings have been investigated. The structures cover a variety of DOFs ranging from 5-DOF to 50-DOF. Noise has been applied to input/output measurements to further simulate real data acquisition tools. The resulting identification accuracy and robustness were satisfying and show that the MAHS-MSSRM is superior to other well known optimization techniques. The satisfying results encourage further research and application of the proposed method on more sophisticated problems, for example: output only problems.
UR - http://www.scopus.com/inward/record.url?scp=84941992229&partnerID=8YFLogxK
U2 - 10.1201/b17488-36
DO - 10.1201/b17488-36
M3 - Conference contribution
AN - SCOPUS:84941992229
T3 - Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014
SP - 193
EP - 198
BT - Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014
A2 - Rodrigues, H.C.
A2 - Soares, C.M. Mota
A2 - Guedes, J.M.
A2 - Araújo, A.L.
A2 - Folgado, J.O.
A2 - Herskovits, J.
A2 - Moleiro, F.
A2 - Madeira, J.F.A.
T2 - 4th International Conference on Engineering Optimization, ENGOPT 2014
Y2 - 8 September 2014 through 11 September 2014
ER -