## Abstract One obvious limitation of the traditional force identification techniques is that they are unable to obtain the explicit expression of the force. Moreover, some techniques need both the displacement and velocity data of all freedoms, and some need the Markov parameters from numerical ca
✦ LIBER ✦
Program system SIDYS: Simulation and parameter identification of dynamic systems
✍ Scribed by J. Benz; J. Polster; R. Bär; G. Gauglitz
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 723 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0097-8485
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Force identification of dynamic systems
✍
Y. W. Yang; C. Wang; C. K. Soh
📂
Article
📅
2005
🏛
John Wiley and Sons
🌐
English
⚖ 668 KB
A spectral analysis procedure for model
✍
D.W. Kirmse; Y.H. Kiang
📂
Article
📅
1973
🏛
Elsevier Science
⚖ 644 KB
System dynamics modelling and simulation
✍
B.K. Bala
📂
Article
📅
1991
🏛
Elsevier Science
🌐
English
⚖ 338 KB
Inverse analysis techniques for paramete
Inverse analysis techniques for parameter identification in simulation of excavation support systems
✍
C. Rechea; S. Levasseur; R. Finno
📂
Article
📅
2008
🏛
Elsevier Science
🌐
English
⚖ 826 KB
Two numerical procedures are described that quantitatively identify a set of constitutive parameters that best represents observed ground movement data associated with deep excavations in urban environments. This inverse problem is solved by minimizing an objective (or error) function of the weighte
Modal parameter identification from the
✍
Paulo R.G. Kurka; Alan Cowley
📂
Article
📅
1988
🏛
Elsevier Science
🌐
English
⚖ 588 KB
INITIAL CONDITION RESPONSE OF A VISCOELA
✍
R. SINGH; P. DAVIES; A.K. BAJAJ
📂
Article
📅
2001
🏛
Elsevier Science
🌐
English
⚖ 123 KB