1 |
Busca, G., Cigada, A., Mazzoleni, P. and Zappa, E. (2014), "Vibration monitoring of multiple bridge points by means of a unique vision-based measuring system", Experim. Mech., 54(2), 255-271. https://doi.org/10.1007/s11340-013-9784-8
DOI
|
2 |
Chen, J. and Li, J. (2001), "Study on wind load inverse of tall building", Chinese Quarterly of Mechanics, (01), 72-77. https://doi.org/10.15959/j.cnki.0254-0053.2001.01.010
DOI
|
3 |
Feng, D.M. and Feng, M.Q. (2016), "Vision-based multipoint displacement measurement for structural health monitoring", Struct. Control Health Monitor., 23(5), 876-890. https://doi.org/10.1002/stc.1819
DOI
|
4 |
Feng, D.M. and Feng, M.Q. (2017), "Identification of structural stiffness and excitation forces in time domain using noncontact vision-based displacement measurement", J. Sound Vib., 406, 15-28. https://doi.org/10.1016/j.jsv.2017.06.008
DOI
|
5 |
Feng, W., Li, Q. and Lu, Q. (2020), "Force localization and reconstruction based on a novel sparse Kalman filter", Mech. Syst. Signal Process., 144, 106890. https://doi.org/10.1016/j.ymssp.2020.106890
DOI
|
6 |
Gillijns, S. and De Moor, B. (2007), "Unbiased minimum-variance input and state estimation for linear discrete-time systems", Automatica, 43(1), 111-116. https://doi.org/10.1016/j.automatica.2006.08.002
DOI
|
7 |
Huang, J.S., Li, X.Z., Zhang, F.B. and Lei, Y. (2021), "Identification of joint structural state and earthquake input based on a generalized Kalman filter with unknown input", Mech. Syst. Signal Process., 151(9), 107362. https://doi.org/10.1016/j.ymssp.2020.107362
DOI
|
8 |
Koh, C.G., Hong, B. and Liaw, C.Y. (2003), "Substructural and progressive structural identification methods", Eng. Struct., 25(12), 1551-1563. https://doi.org/10.1016/S0141-0296(03)00122-6
DOI
|
9 |
Wang, R.H., Li, J., Chencho, An, S.J., Hao, H., Liu, W.Q. and Li, L. (2021), "Densely connected convolutional networks for vibration based structural damage identification", Eng. Struct., 245, 112871. https://doi.org/10.1016/j.engstruct.2021.112871
DOI
|
10 |
Wang, W.Z., Mottershead, J.E., Siebert, T. and Pipino, A. (2012), "Frequency response functions of shape features from full-field vibration measurements using digital image correlation", Mech. Syst. Signal Process., 28, 333-347. https://doi.org/10.1016/j.ymssp.2011.11.023
DOI
|
11 |
Weng, S., Zhu, H.P., Xia, Y., Li, J.J. and Tian, W. (2020), "A review on dynamic substructuring methods for model updating and damage detection of large-scale structures", Adv. Struct. Eng., 23(3), 584-600. https://doi.org/10.1177/1369433219872429
DOI
|
12 |
Yang, N., Lei, Y., Li, J., Hao, H. and Huang, J.S. (2022), "A substructural and wavelet multiresolution approach for identifying time-varying physical parameters by partial measurements", J. Sound Vib., 523. https://doi.org/10.1016/j.jsv.2021.116737
DOI
|
13 |
Lagerblad, U., Wentzel, H. and Kulachenko, A. (2021), "Study of a fixed-lag Kalman smoother for input and state estimation in vibrating structures", Inverse Problems Sci. Eng., 29(9), 1260-1281. https://doi.org/10.1080/17415977.2020.1845669
DOI
|
14 |
Ye, X.W., Dong, C.Z. and Liu, T. (2016), "Force monitoring of steel cables using vision-based sensing technology: methodology and experimental verification", Smart Struct. Syst., Int. J., 18(3), 585-599. https://doi.org/10.12989/sss.2016.18.3.585
DOI
|
15 |
Yoon, H., Elanwar, H., Choi, H.J., Golparvar-Fard, M. and Spencer, B.F. (2016), "Target-free approach for vision-based structural system identification using consumer-grade cameras", Struct. Control Health Monitor., 23(12), 1405-1416. https://doi.org/10.1002/stc.1850
DOI
|
16 |
Zhang, J. and Moon, F.L. (2012), "A new impact testing method for efficient structural flexibility identification", Smart Mater. Struct., 21(5). https://doi.org/10.1088/0964-1726/21/5/055016
DOI
|
17 |
Lei, Y., Yang, N. and Xia, D.D. (2017), "Probabilistic structural damage detection approaches based on structural dynamic response moments", Smart Struct. Syst., Int. J., 20(2), 207-217. https://doi.org/10.12989/sss.2017.20.2.207
DOI
|
18 |
Lei, Y., Huang, J.S., Qi, C.K., Zhang, X. and Li, X.Z. (2022), "Parallel substructure identification of linear and nonlinear structures using only partial output measurements", J. Eng. Mech., 148(7), 04022033. https://doi.org/10.1061/(asce)em.1943-7889.0002117
DOI
|
19 |
Li, J. and Hao, H. (2016), "Substructural interface force identification with limited vibration measurements", J. Civil Struct. Health Monitor., 6(3), 395-410. https://doi.org/10.1007/s13349-016-0157-8
DOI
|
20 |
Rostami, P., Mahsuli, M., Ghahari, S.F. and Taciroglu, E. (2021), "Bayesian joint state-parameter-input estimation of flexiblebase buildings from sparse measurements using Timoshenko beam models", J. Struct. Eng., 147(10), 04021151. https://doi.org/10.1061/(asce)st.1943-541x.0003095
DOI
|
21 |
Spencer, B.F., Hoskere, V. and Narazaki, Y. (2019), "Advances in computer vision-based civil infrastructure inspection and monitoring", Eng., 5(2), 199-222. https://doi.org/10.1016/j.eng.2018.11.030
DOI
|
22 |
Tian, Y.D., Zhang, J. and Yu, S.S. (2019), "Rapid impact testing and system identification of footbridges using particle image velocimetry", Comput.-Aided Civil Infrastr. Eng., 34(2), 130-145. https://doi.org/10.1111/mice.12390
DOI
|
23 |
Wan, Z.M., Wang, T., Li, L. and Xu, Z.C. (2018), "A novel coupled state/input/parameter identification method for linear structural systems", Shock Vib., 2018. https://doi.org/10.1155/2018/7691721
DOI
|
24 |
Yuen, K.V. and Huang, K. (2018b), "Identifiability-enhanced Bayesian frequency-domain substructure identification", Comput.-Aided Civil Infrastr. Eng., 33(9), 800-812. https://doi.org/10.1111/mice.12377
DOI
|
25 |
Pan, S.W., Xiao, D., Xing, S.T., Law, S.S., Du, P.Y. and Li, Y.J. (2016), "A general extended Kalman filter for simultaneous estimation of system and unknown inputs", Eng. Struct., 109(2), 85-98. https://doi.org/10.1016/j.engstruct.2015.11.014
DOI
|
26 |
Ye, X.W., Li, Z.X. and Jin, T. (2022), "Smartphone-based structural crack detection using pruned fully convolutional networks and edge computing", Smart Struct. Syst., Int. J., 29(1), 141-151. https://doi.org/10.12989/sss.2022.29.1.141
DOI
|
27 |
Yuen, K.V. and Huang, K. (2018a), "Real-time substructural identification by boundary force modeling", Struct. Control Health Monitor., 25(5), e2151. https://doi.org/10.1002/stc.2151
DOI
|
28 |
Zhang, J., Guo, S.L. and Zhang, Q.Q. (2015), "Mobile impact testing for structural flexibility identification with only a single reference", Comput.-Aided Civil Infrastr. Eng., 30(9), 703-714. https://doi.org/10.1111/mice.12112
DOI
|
29 |
Dong, C.Z., Ye, X.W. and Jin, T. (2018), "Identification of structural dynamic characteristics based on machine vision technology", Measurement, 126, 405-416. https://doi.org/10.1016/j.measurement.2017.09.043
DOI
|
30 |
Ying, Z.G., Wang, Y.W., Ni, Y.Q. and Xu, C. (2021), "Model-free identification of multiple periodic excitations and detection of structural anomaly using noisy response measurements", Smart Struct. Syst., Int. J., 28(3), 407-423. https://doi.org/10.12989/sss.2021.28.3.407
DOI
|
31 |
Feng, D.M. and Feng, M.Q. (2018), "Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection - A review", Eng. Struct., 156, 105-117. https://doi.org/10.1016/j.engstruct.2017.11.018
DOI
|
32 |
Hassanabadi, M.E., Heidarpour, A., Azam, S.E. and Arashpour, M. (2022), "A Bayesian smoothing for input-state estimation of structural systems", Comput.-Aided Civil Infrastr. Eng., 37(3), 317-334. https://doi.org/10.1111/mice.12733
DOI
|
33 |
Lei, Y., Lu, J.B. and Huang, J.S. (2020), "Synthesize identification and control for smart structures with time-varying parameters under unknown earthquake excitation", Struct. Control Health Monitor., 27(10), e2512. https://doi.org/10.1002/stc.2512
DOI
|
34 |
Liu, L.J., Su, Y., Zhu, J.J. and Lei, Y. (2016), "Data fusion based EKF-UI for real-time simultaneous identification of structural systems and unknown external inputs", Measurement, 88, 456-467. https://doi.org/10.1016/j.measurement.2016.02.002
DOI
|
35 |
Pan, S.W., Su, H.Y., Wang, H., Chu, J. and Lu, R.Q. (2009), "Input and state estimation for linear systems: A least squares estimation approach", In: 2009 7th Asian Control Conference, pp. 378-383.
|
36 |
Liu, L.J., Mi, J.N., Zhang, Y.X. and Lei, Y. (2021), "Damage detection of bridge structures under unknown seismic excitations using support vector machine based on transmissibility function and wavelet packet energy", Smart Struct. Syst., Int. J., 27(2), 257-266. https://doi.org/10.12989/sss.2021.27.2.257
DOI
|
37 |
Maes, K., Gillijns, S. and Lombaert, G. (2018), "A smoothing algorithm for joint input-state estimation in structural dynamics", Mech. Syst. Signal Process., 98, 292-309. https://doi.org/10.1016/j.ymssp.2017.04.047
DOI
|
38 |
Maes, K., Karlsson, F. and Lombaert, G. (2019), "Tracking of inputs, states and parameters of linear structural dynamic systems", Mech. Syst. Signal Process., 130, 755-775. https://doi.org/10.1016/j.ymssp.2019.04.048
DOI
|
39 |
Kuddus, M.A., Li, J., Hao, H., Li, C. and Bi, K. (2019), "Targetfree vision-based technique for vibration measurements of structures subjected to out-of-plane movements", Eng. Struct., 190, 210-222. https://doi.org/10.1016/j.engstruct.2019.04.019
DOI
|