journal article·2023-02-27Open access

A Force Identification Method for Geometric Nonlinear Structures

Lina Guo, Yong Ding

Applied Sciences· Volume 13· Issue 5

Abstract

Excitation identification for nonlinear structures is still a challenging problem due to the convergence and accuracy in this process. In this study, a load estimation method is proposed with orthogonal decomposition, the order for which can be fairly accurately determined by a regression. In this process, the force time history is represented by the orthogonal basis and the coefficients of the orthogonal decomposition are taken as unknowns and augmented to the state variable, which can be identified recursively in state space. A general energy-conserving method is selected to a step-by-step integration to guarantee the convergence of this integration. The proposed method is first validated by numerical simulation studies of a truss structure considering its geometric property. The identification results of the numerical studies demonstrate that the proposed excitation identification method and the orthogonal decomposition order determination method work well for nonlinear structures. The laboratory work of a 7-story frame is investigated to consider the geometric nonlinearity in impact force identification. The results of experimental studies show that uncertainties such as measurement noise and model error are included in the investigation of the accuracy and robustness of the proposed force identification method, while the time history of external forces could be identified with promising results.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Structural Health Monitoring Techniques · Hydraulic and Pneumatic Systems · Bladed Disk Vibration Dynamics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Earthquake Disaster Mitigation of the Ministry of Emergency Management, Harbin 150080, China

Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China

College of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150038, China

School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China

Yan Chong Highway Administration, Zhangjiakou 075000, China

Funding

Scientific Research Fund of Institute of Engineering Mechanics, China Earthquake Administration · 2018 Dongnong scholar program of Northeast Agricultural University: “Young Talents” · traffic Safety and Control lab in Hebei Province · Transportation Department of Hebei Province

References (31)

Show source-provided references
1. Identification of loads in mechanical structures-helicopter case study
2. Steltzner, A.D., and Kammer, D.C. (1999, January 8–11). Input force estimation using an inverse structural filter. Proceedings of the 17th International Modal Analysis Conference, Kissimmee, FL, USA.
3. On the ill-conditioned nature of indirect force measurement techniques
4. Review of inverse analysis for indirect measurement of impact force10.1115/1.1420194 ↗
5. The inverse identification problem and its technical application10.1007/s00419-006-0086-9 ↗
6. Dynamic response of highway bridges to heavy vehicle loads: Theory and experimental validation10.1006/jsvi.1994.1046 ↗
7. A truncated generalized singular value decomposition algorithm for moving force identification with ill-posed problems10.1016/j.jsv.2017.05.004 ↗
8. Parametric study on sequential deconvolution for force identification10.1016/j.jsv.2016.05.013 ↗
9. Comparative study on moving force identification: From bridge strains in laboratory10.1006/jsvi.2000.2909 ↗
10. Dynamic load identification for uncertain structures based on interval analysis and regularization method10.1142/S0219876211002757 ↗
11. Average acceleration discrete algorithm for force identification in state space10.1016/j.engstruct.2013.08.004 ↗
12. Moving force identification: Optimal state estimation approach10.1006/jsvi.2000.3118 ↗
13. Optimal regularization of an inverse dynamics problem10.1016/S0045-7949(96)00340-9 ↗
14. A review of the indirect calculation of excitation forces from measured structural response data10.1243/PIME_PROC_1990_204_080_02 ↗
15. An augmented Kalman filter for force identification in structural dynamics10.1016/j.ymssp.2011.09.025 ↗
16. A Condition Assessment Method for Time-variant Structures with Incomplete Measurements10.1016/j.ymssp.2014.12.019 ↗
17. Stable force identification in structural dynamics using Kalman filtering and dummy-measurements10.1016/j.ymssp.2014.05.042 ↗
18. Dynamic state estimation for identifying earthquake support motions in instrumented structures10.12989/eas.2013.5.3.359 ↗
19. Bayesian nonlinear structural FE model and seismic input identification for damage assessment of civil structures10.1016/j.ymssp.2017.01.040 ↗
20. Identification of Nonlinear Structural Parameters Under Limited Input and Output Measurements10.1016/j.ijnonlinmec.2011.09.004 ↗
21. On-line identification of non-linear hysteretic structures using an adaptive tracking technique. International10.1016/j.ijnonlinmec.2004.02.010 ↗
22. Julier, S.J., Uhlmann, J.K., and Durrant-Whyte, H.F. (1995, January 21–23). A new approach for filtering nonlinear systems. Proceedings of the 1995 American Control Conference—ACC’95, Seattle, WA, USA.
23. A new method for the nonlinear transformation of means and covariances in filters and estimators10.1109/9.847726 ↗
24. Real-time parameter estimation for degrading and pinching hysteretic models10.1016/j.ijnonlinmec.2008.05.010 ↗
25. Identification of system parameters and input force from output only10.1016/j.ymssp.2006.11.004 ↗
26. The discrete energy-momentum method. Conserving algorithms for nonlinear elasto dynamics10.1007/BF00913408 ↗
27. A co-rotational element/time-integration strategy for non-linear dynamics10.1002/nme.1620371108 ↗
28. An Energy-Conserving Co-rotational Procedure for the Dynamics of Planar Beam Structures10.1002/(SICI)1097-0207(19960715)39:13<2265::AID-NME954>3.0.CO;2-O ↗
29. Pan, T., Wu, B., Chen, Y., and Xu, G. (2016). Application of the Energy-Conserving Integration Method to Hybrid Simulation of a Full-Scale Steel Frame. Algorithms, 9.10.3390/a9020035 ↗
30. Actuator dynamics compensation based on upper bound delay for real-time hybrid simulation10.1002/eqe.2296 ↗
31. Julier, S.J., and Uhlmann, J.K. (2009). Handbook of Multisensor Data Fusion: Theory and Practice, CRC Press.