Zobrazeno 1 - 10
of 12
pro vyhledávání: '"A. G. Chassiakos"'
Publikováno v:
Structural Control and Health Monitoring. 13:365-387
A general approach is presented for developing data-based, model-free representations of complex non-linear (including hysteretic) multi-degree-of-freedom (MDOF) systems under arbitrary dynamic loads. Only the excitation forces and corresponding resp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a44eb448feedca06fe5eba81e4ae3a8
https://doi.org/10.1002/stc.147
https://doi.org/10.1002/stc.147
Publikováno v:
Nonlinear Dynamics. 36:181-201
This paper reports the results of an analytical and experimental study to design, analyze, construct, test, and evaluate a re-configurable test-bed to allow the convenient performance of sophisticated experiments in a laboratory setting for investiga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dff711601ddc7f5d451f1ec0b451c24
https://doi.org/10.1023/b:nody.0000045507.10048.e1
https://doi.org/10.1023/b:nody.0000045507.10048.e1
Autor:
Sami F. Masri, Thomas K. Caughey, Anastassios G. Chassiakos, Andrew W. Smyth, Elias B. Kosmatopoulos
Publikováno v:
International Journal of Non-Linear Mechanics. 37:1435-1451
Adaptive estimation procedures have gained significant attention by the research community to perform real-time identification of non-linear hysteretic structural systems under arbitrary dynamic excitations. Such techniques promise to provide real-ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6b2eb1f3394eed81cc5f3a7be1304ed
https://doi.org/10.1016/s0020-7462(02)00031-8
https://doi.org/10.1016/s0020-7462(02)00031-8
Publikováno v:
Earthquake Engineering & Structural Dynamics. 27:997-1010
A neural network-based approach is presented for the detection of changes in the characteristics of structure-unknown systems. The approach relies on the use of vibration measurements from a 'healthy' system to train a neural network for identificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6440492fee4f3726774815b6e6dd81de
https://doi.org/10.1002/(sici)1096-9845(199809)27:9<997::aid-eqe771>3.0.co
https://doi.org/10.1002/(sici)1096-9845(199809)27:9<997::aid-eqe771>3.0.co
Publikováno v:
Mathematics and Computers in Simulation. 40:637-656
A method based on the use of neural networks is developed for the identification of systems encountered in the field of structural dynamics. The methodology is applied to the identification of linear and nonlinear dynamic systems such as the damped D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91f26af75252cbc67abae8b130804618
https://doi.org/10.1016/0378-4754(95)00012-7
https://doi.org/10.1016/0378-4754(95)00012-7
Publikováno v:
Proceedings of 1995 American Control Conference - ACC'95.
An adaptive method for the on-line identification of hysteretic structures under arbitrary dynamic environments is presented. In spite of the challenges encountered in the identification of the hereditary nature of the restoring force of hysteretic s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::190b26ae7e23a915efe67e81b232edda
https://doi.org/10.1109/acc.1995.531392
https://doi.org/10.1109/acc.1995.531392
Autor:
Elias B. Kosmatopoulos, Helen Boussalis, Maj Mirmirani, Petros Ioannou, Anastassios G. Chassiakos
Publikováno v:
1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
We show that for all unknown multi-input (MI) nonlinear systems that are affected by external disturbances, it is possible to construct a semi-global state-feedback stabilizer when the only information about the unknown system is that (A1) the system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61112bee79268255c12171dee638be51
https://doi.org/10.1109/ijcnn.1998.685897
https://doi.org/10.1109/ijcnn.1998.685897
Publikováno v:
Adaptive Structures and Material Systems.
Adaptive modeling approaches have recently gained significant attention by the applied mechanics research community to perform real-time identification of nonlinear hysteretic structural systems under arbitrary dynamic excitations. Adaptive identific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::423a5efffd5f180d613714c857527ded
https://doi.org/10.1115/imece2001/ad-23714
https://doi.org/10.1115/imece2001/ad-23714
Publikováno v:
Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
Adaptive estimation procedures have gained significant attention by the research community to perform real-time identification of nonlinear hysteretic structural systems under arbitrary dynamic excitations. The paper presents an overview of some of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0d58c8159816345a3e5cd257769b43a
https://doi.org/10.1109/acc.2000.876646
https://doi.org/10.1109/acc.2000.876646
Autor:
S. F. Masri, A. G. Chassiakos
Publikováno v:
Safety Evaluation Based on Identification Approaches Related to Time-Variant and Nonlinear Structures ISBN: 9783528065355
The identification of mathematical models of physical structures on the basis of experimental measurements is a problem that has been receiving increasing attention in the recent past. The main impetus for this phenomenon is the central role that app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fdbf15cd934516b3b0f98370e86cbe3
https://doi.org/10.1007/978-3-322-89467-0_17
https://doi.org/10.1007/978-3-322-89467-0_17
