Home
Biography
Publications
Grants & Awards
Group Members
Research

Book Chapter

  1. Wang-Ji Yan, Lambros Katafygiotis, Costas Papadimitriou, “Fast Bayesian Approach for Stochastic Model Updating Incorporating Modal Information from Multiple Setups”, Chapter 7 in “Bayesian Inverse Problems”, CRC Press Taylor & Francis Group, 2021.

Journal Paper (Supervised Students Underlined)

  1.  T.T. Hao, Wang-Ji Yan*, J.B. Chen, K.V. Yuen  (2026)  Bayesian Data Assimilation with Time-Varying Multi-Physics-Informed Neural Network for Solving Dimension-Reduced Probability Density Evolution Equation. Reliability Engineering and System Safety, In Press

  2. Y.S. Liu, Wang-Ji Yan*,  et al.  (2026)  Long-Gauge Strain Wavelet Transmissibility-Guided Uncertainty-Aware Distributed Damage Diagnosis under Moving Loads with Disentangled Representation Learning. Structural Health Monitoring, In Press.

  3. LF Mei, Wang-Ji Yan*, et al. (2026) Semi-Supervised Damage Classification with Constrained Bayesian Nonparametric Mixture Models and Transmissibility-Guided Knowledge Transfer. Mechanical Systems and Signal Processing (In Precess).

  4. Y.T. Zhang, Wang-Ji Yan*,  et al.  (2026)  Transmissibility Physics-guided Deep Learning Network for Seismic Response Prediction under Limited Domain Knowledge, Sparse Measurements and Unknown Excitations. Earthquake Engineering and Structural Dynamics, In Press 

  5. T.T. Hao, Wang-Ji Yan*,  et al.  (2026)  A Model-Free B-WIM Scheme for Simultaneously Identifying Vehicle Axle Load and Spacing with Transmissibility-Like Index. Journal of Sound and Vibration, In Press.

  6. J.M. Sun, Q. Sun, Wang-Ji Yan*,  et al.  (2026)  Analytical Local Sensitivity Analysis of Frequency Response Function and Transmissibility Function with a View towards Bayesian Damage Detection. Journal of Sound and Vibration, In Press 
  7. Y.S. Liu, Wang-Ji Yan*,  et al.  (2026)  Anomaly Detection for Bridges under Moving Loads with Input-Independent Probabilistic Feature Distance Measure and Extreme Value Theory. Structual Health Monitorig. 
  8. L.F. Mei, Wang-Ji Yan* (2026)  DPGIIL: Dirichlet Process-Deep Generative Model-integrated incremental learning for clustering in transmissibility-based online structural anomaly detection. Advanced Engineering Informatics , 69, p.103926.https://doi.org/10.1016/j.aei.2025.103926 
  9. M.H. Ping, Wang-Ji Yan*, et al. (2026)  Variational Inference for Hierarchical Bayesian Learning Framework for Model Updating with Non-Stationary Prediction Errors. Reliability Engineering and System Safety , 69, p.103926. https://doi.org/10.1016/j.aei.2025.103926  
  10. Jia, X.*, Hou, W., Cao, S.Z., Wang-Ji Yan* and Papadimitriou, C., 2025. Analytical hierarchical Bayesian modeling framework for model updating and uncertainty propagation utilizing frequency response function data. Computer Methods in Applied Mechanics and Engineering, 447, p.118341. https://doi.org/10.1016/j.cma.2025.118341
  11. J Mo, Wang-Ji Yan*, et al. (2025) Enhancing High-Dimensional Probabilistic Model Updating: A GAN-Inspired Framework with Interpretable Generator and Learnable Discriminator. Computer Methods in Applied Mechanics and Engineering. 118190. https://doi.org/10.1016/j.cma.2025.118190
  12. J. Mo, Wang-Ji Yan*, (2025) Explainable Neural-Networked Variational Inference: A New and Fast Paradigm for Bayesian Analysis in High-Dimensional Inverse Problems, Reliability Engineering & System Safety. 264(A), 111337. https://doi.org/10.1016/j.ress.2025.111337
  13. Y.T. Zhang, Wang-Ji Yan*, L.Z. Jiang, K.V. Yuen, et al. (2025) Post-earthquake Residual Track Irregularities Prediction using Wavelet-Packet-Transformation-powered Domain Adaptive Neural Network. Engineering Applications of Artificial Intelligence, Vol.159, 111695. https://doi.org/10.1016/j.engappai.2025.111695
  14. J. Zeng, H. Chen, Wang-Ji Yan, et al. (2025) Amortized Likelihood-Free Stochastic Model Updating via Conditional Diffusion Model for Structural Health Monitoring, Reliability Engineering & System Safety. Vol.159, 111926. https://doi.org/10.1016/j.engappai.2025.111695
  15. T.T. Hao, Wang-Ji Yan*, J.B. Chen, et al. (2025) DR-PDE-Net: A Time-Varying Inverse Multi-Physics-Informed Neural Network Paradigm for Solving Dimension-Reduced Probability Density Evolution Equation in Noisy Data Regimes. Computer Methods in Applied Mechanics and Engineering, Vol.442, 118059. https://doi.org/10.1016/j.cma.2024.117490
  16. M H Ping, Wang-Ji Yan*, XY Jia, Costas Papadimitriou, K V Yuen (2025) Learning Non-stationary Model of Prediction Errors with Hierarchical Bayesian Modeling. Reliability Engineering & System Safety, Vol.433, 111012. https://doi.org/10.1016/j.ress.2025.111012 
  17. J Zeng, Wang-Ji Yan* (2025). High-Dimensional Bayesian inference for model updating with neural likelihood approximator powered by dimensionality-reducing flow-based generative model. Mechanical Systems and Signal Processing, 231, p.112688. https://doi.org/10.1016/j.ymssp.2025.112688 
  18. J Mo, Wang-Ji Yan*, K V Yuen, M Beer (2025) Efficient non-probabilistic parallel model updating based on analytical correlation propagation formula and derivative-aware deep neural network metamodel. Computer Methods in Applied Mechanics and Engineering, Vol.433, 117490. https://doi.org/10.1016/j.cma.2024.117490
  19. LF Mei, Wang-Ji Yan*, KV Yuen, M Beer (2025): Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function. Mechanical Systems and Signal Processing, 221, 111767. https://doi.org/10.1016/j.ymssp.2024.111767
  20. L Zhao, Z.W. Chen and Wang-Ji Yan, 2025. Bayesian sequential multi-measurement updating for interference-resistant bridge influence line identification. Measurement, p.119083. https://doi.org/10.1016/j.measurement.2025.119083
  21. JZ Zhan, Wang-Ji Yan*, W Wu, KV Yuen, D Chronopoulos (2025) Two-stage fast Bayesian inference for rail model updating and crack detection with ultrasonic guided wave measurements and advanced wave propagation simulation. Journal of Sound and Vibration, Vol.599, 118914. https://doi.org/10.1016/j.jsv.2024.118914
  22. L.L. Zhang, Wang-Ji Yan*, et al. (2025) Bayesian emulation for forecasting modal frequencies under multivariate environmental variability with data association metric and incremental updating, Journal of Sound and Vibration. Vol.614, 118914. https://doi.org/10.1016/j.jsv.2024.118914 
  23. Kuok, S.C., Yao, S.A., Yuen, K.V., Wang-Ji Yan and Girolami, M. (2025). Bayesian generative kernel Gaussian process regression. Mechanical Systems and Signal Processing, 227, 112395. https://doi.org/10.1016/j.ymssp.2025.112395
  24. LF Mei, Wang-Ji Yan*, KV Yuen, Q Wang, H Wang (2025) Uncertainty-aware structural anomaly detection under varying environmental conditions based on Bayesian nonparametric density estimation-guided probabilistic damage index. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 11(2), 04025014. https://doi.org/10.1061/AJRUA6.RUENG-1505
  25. SH Liu, LZ Jiang, WB Zhou, Wang-Ji Yan, et al. (2025) Evaluation of post-seismic running limits of high-speed railways based on track surface seismic-induced irregularity. Engineering Structures, 326, 119546. https://doi.org/10.1016/j.engstruct.2024.119546
  26. K Peng, W Zhou, L Jiang, L Xiong, Wang-Ji Yan (2025) Multimodal fusion hybrid neural network approach for multi-class damage classification in high-speed rail track-bridge systems with multi-parameter. Engineering Structures, 326, 119546. https://doi.org/10.1016/j.engstruct.2025.119710
  27. J. Zhang, Feng, Z., Dai, J., Wang, Y., Hua, X. and Wang-Ji Yan (2025) Bayesian approach for damping identification of stay cables under vortex-induced vibrations. Structural Control and Health Monitoring, 2025(1), 5532528. https://doi.org/10.1155/stc/5532528
  28. Wang-Ji Yan*, JZ Zhan, KV Yuen, WX Ren, C Papadimitriou (2024) PC-Kriging-powered parallelizing Bayesian updating for stochastic vehicle-track dynamical system with contact force measurements and Gaussian process discrepancy model. Engineering Structures, 318, 118578. https://doi.org/10.1016/j.engstruct.2024.118578
  29. J Mo, Wang-Ji Yan* (2024) StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems. Mechanical Systems and Signal Processing,220, 111623. https://doi.org/10.1016/j.ymssp.2024.111623
  30. TT Hao, Wang-Ji Yan*, JB Chen, TT Sun, KV Yuen (2024) Multi-output multi-physics-informed neural network for learning dimension-reduced probability density evolution equation with unknown spatio-temporal-dependent coefficients. Mechanical Systems and Signal Processing, 221, 111683. https://doi.org/10.1016/j.ymssp.2024.111683
  31. YS Liu, Wang-Ji Yan*, KV Yuen, WH Zhou (2024): Element-wise parallel learning for structural distributed damage detection by leveraging physical properties of long-gauge static strain transmissibility under moving loads, Mechanical Systems and Signal Processing, 221, 111680. https://doi.org/10.1016/j.ymssp.2024.111680
  32. MH Ping, XY Jia, C Papadimitriou, X Han, C Jiang, Wang-Ji Yan* (2024): A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes. Mechanical Systems and Signal Processing, 208,110968. https://doi.org/10.1016/j.ymssp.2023.110968
  33. P Yuen, KV Yuen, M Beer, CS Cai, Wang-Ji Yan (2024) A non-iterative partitioned computational method with the energy conservation property for time-variant dynamic systems. Mechanical Systems and Signal Processing, Vol.209, 111105. https://doi.org/10.1016/j.ymssp.2023.110830
  34. WJ Zhang, KV Yuen, Wang-Ji Yan (2024) Active learning aided Bayesian nonparametric general regression for model updating using modal data. Mechanical Systems and Signal Processing, 204, 110830. https://doi.org/10.1016/j.ymssp.2023.110830
  35. WJ Zhang, KV Yuen, Wang-Ji Yan (2024) Two‐stage nonparametric framework for missing data imputation, uncertainty quantification, and incorporation in system identification. Computer‐Aided Civil and Infrastructure Engineering, 13237. https://doi.org/10.1111/mice.13237
  36. LF Qin, WX Ren, Wang-Ji Yan (2024) Sensitive properties of power spectral density Transmissibility (PSDT) to moving vehicles and structural states in bridge health monitoring. Structural Control and Health Monitoring, 2024(1), 4695910. https://doi.org/10.1155/2024/4695910
  37. Z Feng, J Zhang, X Xuan, Y Wang, X Hua, Z Chen, Wang-Ji Yan (2024) Bayesian time domain approach for damping identification and uncertainty quantification in stay cables using free vibration response. Engineering Structures, Vol.315, 118477. https://doi.org/10.1111/mice.13237
  38. L Zhang, ZC Wang, Q Wei, RY Li, ZD Zhou, Wang-Ji Yan, et al. (2024) A novel fiber Bragg grating-based smart clamp with macro strain measurement: design, modeling, and application to incipient looseness detection. Structural Health Monitoring, 14759217241245303. https://doi.org/10.1002/tal.1297
  39. ZC Wang, PX Gao, ZD Zhou, AS Tijsseling, YZ Qu, Wang-Ji Yan, et al. (2024) A numerically stable flexural dynamics model of complex multi-span fluid-conveying pipes with flexible components and its application to clamp stiffness identification. Thin-Walled Structures, 111488. https://doi.org/10.1002/tal.1297
  40. Wang-Ji Yan, Mei, L.F., Mo, J., Papadimitriou, C., Yuen, K.V. and Beer, M. (2024). Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems. arXiv preprint arXiv:2408.08629
  41. SH Li, LZ Jiang, WB Zhou, Wang-Ji Yan, et al. (2024) Study on the equivalent coefficients of seismic-induced track dynamic irregularities based on post-seismic running performance. Structures, Vol.68, 107225. https://doi.org/10.1016/j.istruc.2024.107225
  42. LF Mei, Wang-Ji Yan*, KV Yuen, WX Ren, M Beer (2023) Transmissibility-based damage detection with hierarchical clustering enhanced by multivariate probabilistic distance accommodating uncertainty and correlation. Mechanical Systems and Signal Processing,202, 11072. https://10.1016/j.ymssp.2023.110702
  43. XA Yan, Wang-Ji Yan*, YD Xu, KV Yuen (2023) Multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network. Mechanical Systems and Signal Processing,202, 110664. https://10.1016/j.ymssp.2023.110664
  44. ZC Wang, Wang-Ji Yan*, KV Yuen (2023) A transfer matrix method-based closed-form solution of sensitivities of dynamic properties and FRF for multi-span pipes under complex boundary conditions. Mechanical Systems and Signal Processing,198, 110428. https://doi.org/10.1016/j.ymssp.2023.110428
  45. XY Jia, Wang-Ji Yan*, C Papadimitriou, KV Yuen (2023) An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme. Mechanical Systems and Signal Processing, 189, 110060. https://doi.org/10.1016/j.ymssp.2022.110060
  46. J Mo, Wang-Ji Yan*, KV Yuen, Michael Beer (2023) Efficient inner-outer decoupling scheme for non-probabilistic model updating with high dimensional model representation and Chebyshev approximation. Mechanical Systems and Signal Processing, 188, 110040. https://doi.org/10.1016/j.ymssp.2022.110040
  47. Q Sun, Wang-Ji Yan*, WX Ren, et al. (2023) Quantification of statistical error in the estimate of strain power spectral density transmissibility for operational strain modal analysis. Structural Control and Health Monitoring, 2023(1), 6661720. https://www.hindawi.com/journals/schm/2023/6661720/
  48. MH Ping, XY Jia, C Papadimitriou, X Han, C Jiang, Wang-Ji Yan (2023) A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification. Mechanical Systems and Signal Processing,187, 109933. https://doi.org/10.1016/j.ymssp.2022.109933
  49. ZC Wang, YZ Qu, Wang-Ji Yan, KV Yuen, et al., (2023) Transfer matrix method-based dynamic model to compensate the pulsating pressure in Strain-based nonintrusive pressure measurement for the L-shaped pipe. Measurements: Journal of the International Measurement Confederation, Vol. 218, 113149. https://doi.org/10.1016/j.measurement.2023.113149
  50. Q Sun, C Rainieri, WX Ren, Wang-Ji Yan, G Fabbrocino (2023) Automated operational modal analysis of bell towers subjected to narrowband input, Structures. Vol.54, 78-88. https://doi.org/10.1177/14759217231152434
  51. KV Yuen, WJ Zhang, Wang-Ji Yan (2023) Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation. Advanced Engineering Informatics, Vol.55, 101859. https://doi.org/10.1016/j.aei.2022.101859
  52. YC Zhu, S Cantero-Chinchilla, H Meng, Wang-Ji Yan, D Chronopoulos (2023) Damage detection, quantification and localization for resonant metamaterials using physics-based and data-driven methods, Structural Health Monitoring, 14759217231152434.  https://doi.org/10.1177/14759217231152434
  53. W Wu, S Cantero-Chinchilla, Wang-Ji Yan, M Chiachio Ruano, et al. (2023) Damage quantification and identification in structural joints through ultrasonic guided wave-based features and an inverse Bayesian scheme. Sensors, Vol.23(8), 4160. https://doi.org/10.3390/s23084160
  54. Wang-Ji Yan*, TT Hao, KV Yuen, C Papadimitriou (2022) Monitoring gross vehicle weight with a probabilistic and influence line-free bridge weight-In-motion scheme based on a transmissibility-like index. Mechanical Systems and Signal Processing, Vol.177, 109133. https://doi.org/10.1016/j.ymssp.2022.109133
  55. KV Yuen*, YS Liu, Wang-Ji Yan* (2022) Estimation of time-varying noise parameters for unscented Kalman filter. Mechanical Systems and Signal Processing, Vol.180, 109439. https://doi.org/10.1016/j.ymssp.2022.109439
  56. Wang-Ji Yan*, ZQ Feng, W Yang, KV Yuen (2022) Bayesian inference for the dynamic properties of long-span bridges under vortex-induced vibration with Scanlan’s model and dense optical flow scheme. Mechanical Systems and Signal Processing, Vol.174, 109078. https://doi.org/10.1016/j.ymssp.2022.109078
  57. Wang-Ji Yan*, D Chronopoulos, KV Yuen, YC Zhu (2022) Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical threshold selection scheme, Mechanical Systems and Signal Processing, Vol.162, 108009. https://doi.org/10.1016/j.ymssp.2021.108009
  58. LF Mei, Wang-Ji Yan*, KV Yuen, M Beer (2022) Structural novelty detection Based on Laplace asymptotic expansion of the Bhattacharyya distance of transmissibility function and Bayesian resampling scheme. Journal of Sound and Vibration, Vol.540, 117277. https://doi.org/10.1016/j.jsv.2022.117277
  59. XA Yan, Wang-Ji Yan*, KV Yuen, Z Yang, XB Wang (2022) An adaptive variational mode extraction method based on multi-domain and multi-objective optimization for bearing fault diagnosis. Structural Health Monitoring, 14759217221133283. https://doi.org/10.1177/147592172211332
  60. ZW Chen*, L Zhao, Wang-Ji Yan*, KV Yuen, C Wu (2022) A statistical influence line identification method using Bayesian regularization and a polynomial interpolating function. Structural Control and Health Monitoring, Vol.29(11), p.e3080. https://doi.org/10.1002/stc.3080
  61. S Cantero-Chinchilla, AT Fabro, H Men, Wang-Ji Yan, et al., (2022) Robust optimised design of 3D printed elastic metastructures: A trade-off between complexity and vibration attenuation. Journal of Sound and Vibration, 116896. https://doi.org/10.1016/j.jsv.2022.116896
  62. W Wu, MK Malik, S Cantero-Chinchilla, T Lawrie, Wang-Ji Yan, et al. (2022) Guided waves-based damage identification in plates through an inverse Bayesian process. Ultrasonics, 106773. https://doi.org/10.1016/j.ultras.2022.106773
  63. ZW Chen, XZ Ruan, KM Liu, Wang-Ji Yan, JT Liu (2022) Fully automated natural frequency identification based on deep-learning-enhanced computer vision and Power Spectral Density Transmissibility, Advance in Structural Engineering, 13694332221107572. https://www.worldscientific.com/doi/abs/10.1142/S0219455421500681
  64. Wang-Ji Yan*, SZ Cao, WX Ren, KV Yuen, et al. (2021) Vectorization and distributed parallelization of Bayesian model updating based on a multivariate complex-valued probabilistic model, Mechanical Systems and Signal Processing, Vol.156, 107615. https://doi.org/10.1016/j.ymssp.2021.107615
  65. MY Zhao, Wang-Ji Yan*, KV Yuen, M Beer (2021) Non-Probabilistic uncertainty quantification for dynamic characterization functions using complex ratio interval arithmetic operation of multidimensional parallelepiped model, Mechanical Systems and Signal Processing, Vol.156, 107559. https://doi.org/10.1016/j.ymssp.2020.107559
  66. TT Hao, CJ Wang, Wang-Ji Yan*, WX Ren, KV Yuen (2021): Experimental investigation on the dynamic responses of vented hydrogen explosion in a 40-foot container. International Journal of Hydrogen Energy, Vol.46 (36), 19229-19243. https://doi.org/10.1016/j.ijhydene.2021.03.066
  67. Q Sun, Wang-Ji Yan, WX Ren (2021) Analytical investigation into error propagation of power spectral density transmissibility (PSDT) based on coherence function. Journal of Sound and Vibration, Vol.514, 116429. https://doi.org/10.1016/j.jsv.2021.116429
  68. ZC Wang, MY Liu, Wang-Ji Yan*, et al. (2021) A model-driven scheme to compensate the strain-based non-intrusive dynamic pressure measurement for hydraulic pipe. IEEE Transactions on Instrumentation and Measurement,70, 1-12. https://ieeexplore.ieee.org/abstract/document/9609983
  69. ZW Chen, KM Liu, Wang-Ji Yan, WX Ren (2021) Two-stage automated operational modal analysis based on power spectrum density transmissibility and support vector machines, International Journal of Stability and Dynamics, 21(05), 2150068. https://www.worldscientific.com/doi/abs/10.1142/S0219455421500681
  70. Wang-Ji Yan*, D Chronopoulos, S Cantero-Chinchilla, KV Yuen, C Papadimitriou (2020) A fast Bayesian inference scheme for identification of local structural properties of layered composites based on wave and finite element-assisted metamodeling strategy and ultrasound measurements. Mechanical Systems and Signal Processing, Vol.143, 106802. https://doi.org/10.1016/j.ymssp.2020.106802
  71. Wang-Ji Yan*, MY Zhao, M Beer, WX Ren, D Chronopoulos (2020) A unified scheme to solving arbitrary complex-valued ratio distribution with application to statistical inference for frequency response functions and transmissibility functions, Mechanical Systems and Signal Processing, Vol.143, 106802. https://doi.org/10.1016/j.ymssp.2020.106886
  72. Wang-Ji Yan*, C Papadimitriou, LS Katafygiotis, D Chronopoulos (2020) An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly. Mechanical Systems and Signal Processing, Vol.135, 106376. https://doi.org/10.1016/j.ymssp.2019.106376
  73. Wang-Ji Yan*, KV Yuen (2020) A new probabilistic frequency-domain approach for influence line extraction from static transmissibility measurements under unknown moving loads, Engineering Structures, Vol.468, 115083. https://doi.org/10.1016/j.engstruct.2020.110625
  74. Wang-Ji Yan*, D Chronopoulos, C Papadimitriou, S Cantero-Chinchilla (2020) Bayesian inference for damage identification based on analytical probabilistic model of scattering coefficient estimators and ultrafast wave scattering simulation scheme. Journal of Sound and Vibration, Vol.468, 115083. https://doi.org/10.1016/j.jsv.2019.115083
  75. D Li, Y Wang, Wang-Ji Yan, WX Ren (2020) Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network, Structural Health Monitoring, 1475921720922797. https://doi.org/10.1177/1475921720922797
  76. LZ Jiang, J Yu, W Zhou, Wang-Ji Yan, et al. (2020) Applicability analysis of high-speed railway system under the action of near-fault ground motion, Soil Dynamics and Earthquake Engineering, Vol.139, 106289. https://doi.org/10.1016/j.soildyn.2020.106289
  77. Wang-Ji Yan*, MY Zhao, Q Sun, WX Ren (2019) Transmissibility-based system identification for structural health monitoring: Fundamentals, approaches and applications. Mechanical Systems and Signal Processing, Vol.117, 453-482. https://doi.org/10.1016/j.ymssp.2018.06.053 
  78. Wang-Ji Yan*, L Yang, X Yang, WX Ren (2019) Statistical modeling for fast Fourier transform coefficients of operational vibration measurements with non-Gaussianity using complex-valued t distribution. Mechanical Systems and Signal Processing, Vol.132, 293-314. https://doi.org/10.1016/j.ymssp.2019.06.006
  79. Wang-Ji Yan*, L Katafygiotis (2019) An analytical investigation into the propagation properties of uncertainty in a two-stage fast Bayesian spectral density approach for ambient modal analysis. Mechanical Systems and Signal Processing, Vol.118, 503-533. https://doi.org/10.1016/j.ymssp.2018.08.047
  80. Wang-Ji Yan, WX Ren (2019) Two notes on circularly-symmetric complex normal ratio distribution for scalar transmissibility functions. Mechanical Systems and Signal Processing, Vol.133. 106285. https://doi.org/10.1016/j.ymssp.2019.106285
  81. Q Sun, Wang-Ji Yan, WX Ren (2019) Application of transmissibility measurements to operational modal analysis of railway, highway, and pedestrian cable-stayed bridges, Measurements: Journal of the International Measurement Confederation, 148, 106880. https://doi.org/10.1016/j.measurement.2019.106880
  82. Wang-Ji Yan, WX Ren (2018) Generalized proper complex Gaussian ratio distribution and its application to statistical inference for frequency response functions. Journal of Engineering Mechanics, ASCE, Vol.144(9), 04018080. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001504
  83. Wang-Ji Yan, WX Ren (2018) Circularly-symmetric complex normal ratio distribution for scalar transmissibility functions. Part III: Application to statistical modal analysis. Mechanical Systems and Signal Processing,98, 1000-1019. https://doi.org/10.1016/j.ymssp.2017.05.029
  84. Wang-Ji Yan, HP Wan, WX Ren (2017) Analytical local and global sensitivity of power spectrum density functions for structures subject to stochastic excitation. Computers and Structures, Vol.182, 325-336. https://doi.org/10.1016/j.compstruc.2016.12.005
  85. Wang-Ji Yan, WX Ren (2017) Commentary discussion of ‘Numerical methods for evaluating the sensitivity of element modal strain energy’. Finite Elements in Analysis and Design, 137, 40-42. https://doi.org/10.1016/j.finel.2017.09.001
  86. WB Zhou, Wang-Ji Yan* (2017) Refined nonlinear finite element modelling towards ultimate bending moment calculation for concrete composite beams under negative moment. Thin-walled Structures, Vol.116, 201-211. https://doi.org/10.1016/j.tws.2017.02.011
  87. C Chronopoulos, R Droz, M Apalowo, Ichchou, Wang-Ji Yan (2017) Accurate structural identification for layered composite structures, through a wave and finite element scheme. Composite Structures, Vol.182, 566-578. https://doi.org/10.1016/j.compstruct.2017.09.062
  88. Wang-Ji Yan, WX Ren (2016) Circularly-symmetric complex normal ratio distribution for scalar transmissibility functions. Part II: Probabilistic models and validation. Mechanical Systems and Signal Processing,80, 78-98. https://doi.org/10.1016/j.ymssp.2016.02.068
  89. Wang-Ji Yan, WX Ren (2016) Circularly-symmetric complex normal ratio distribution for scalar transmissibility functions. Part I: Fundamentals. Mechanical Systems and Signal Processing, Vol. 80, 58-77. https://doi.org/10.1016/j.ymssp.2016.02.052
  90. Wang-Ji Yan*, L Katafygiotis (2016) Application of transmissibility matrix and random matrix to Bayesian system identification with response measurements only. Smart Materials and Structures, 25, 105017. https://doi.org/10.1088/0964-1726/25/10/105017
  91. Wang-Ji Yan, ZQ Feng, WX Ren (2016) New insights into coherence analysis with a view towards extracting structural natural frequencies under operational conditions. Measurement: Journal of the International Measurement Confederation, Vol.77, 187-202. https://doi.org/10.1016/j.measurement.2015.08.038
  92. WB Zhou, SJ Li, Wang-Ji Yan* (2016) Practical formulas towards distortional buckling failure analysis for steel-concrete composite beams. Structural Design of Tall and Special Buildings, Vol.25(18),1055-1072. https://doi.org/10.1002/tal.1297
  93. JR Zhang, HY Ma, Wang-Ji Yan, ZJ Li (2016) Defect detection and location in switch rails by acoustic emission and Lamb wave analysis: A feasibility study. Applied Acoustics, Vol.105, 67-74. https://doi.org/10.1016/j.apacoust.2015.11.018
  94. Wang-Ji Yan*, L Katafygiotis (2015) A two-stage fast Bayesian spectral density approach for ambient modal analysis. Part II: mode shape assembly and case studies. Mechanical System and Signal Processing, Vol.54, 156-171. https://doi.org/10.1016/j.ymssp.2014.08.016
  95. Wang-Ji Yan*, L Katafygiotis (2015) A two-stage fast Bayesian spectral density approach for ambient modal analysis. Part I: posterior most probable value and uncertainty. Mechanical System and Signal Processing, Vol.54, 139-155. https://doi.org/10.1016/j.ymssp.2014.07.027
  96. Wang-Ji Yan*, L Katafygiotis (2015) A novel Bayesian approach for structural model updating utilizing statistical modal information from multiple setups. Structural Safety, Vol.52, 260-271. https://doi.org/10.1016/j.strusafe.2014.06.004
  97. Wang-Ji Yan, WX Ren (2015) An enhanced power spectral density transmissibility (EPSDT) approach for operational modal analysis: theoretical and experimental investigation. Engineering Structures, Vol.102, 108-119. https://doi.org/10.1016/j.engstruct.2015.08.009
  98. Wang-Ji Yan and Wei-Xin Ren (2014) A closed-form of modal flexibility sensitivity and its application in structural damage detection. Journal of Vibration and Control, Vol.20, No.12, pp.1816-1830. https://doi.org/10.1177/1077546313476724
  99. Wang-Ji Yan, WX Ren (2013) Use of continuous wavelet transmissibility for operational modal identification. Journal of Structural Engineering, ASCE, Vol.139(9), 1444-1456. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000711
  100. WX Ren, XX Xu, Wang-Ji Yan (2013) Operational modal parameter identification based on covariance-driven continuous wavelet transform and singular value decomposition. Advances in Structural Engineering, Vol.16(3), 579-591. https://doi.org/10.1260/1369-4332.16.3.579
  101. Wang-Ji Yan, WX Ren (2012) Statistical structural damage detection based on the closed-form of element modal strain energy sensitivity. Mechanical System and Signal Processing, Vol.28, pp.183-194. https://doi.org/10.1016/j.ymssp.2011.04.011
  102. Wang-Ji Yan, WX Ren (2012) Operational modal parameter identification from power spectrum density transmissibility. Computer-Aided Civil and Infrastructure Engineering, Vol.27(3), 202-217. https://doi.org/10.1111/j.1467-8667.2011.00735.x
  103. Wang-Ji Yan, WX Ren (2011) A direct algebraic method to calculate the sensitivity of element modal strain energy. International Journal for Numerical Methods in Biomedical Engineering, Vol.27(5), 694-710. https://doi.org/10.1002/cnm.1322
  104. Wang-Ji Yan, TL Huang, WX Ren (2010) Damage detection method based on element modal strain energy sensitivity. Advances in Structural Engineering, Vol.13(6), 1075-1088. https://doi.org/10.1260/1369-4332.13.6.1075
  105. WX Ren, CC Su, Wang-Ji Yan (2010) Dynamic modeling and analysis of arch bridges using beam-arch segment assembly. Computer Modeling in Engineering & Science, 70(1), 67. https://www.techscience.com/CMES/v70n1/26791
  106. Teng-Teng Hao, Chang-Jian Wang, Wang-Ji Yan*, Wei-Xin Ren (2020) Structural dynamical characteristics induced by vented hydrogen explosion. Explosion and Shock Waves, 40(6): 065401-1-12. http://www.bzycj.cn/cn/article/doi/10.11883/bzycj-2019-0412?viewType=HTML
  107. Qian Sun, Wang-Ji Yan, Wei-Xin Ren (2019) Application of PSDT for modal analyis of bridge engineering. Chinese Journal of Highway and Transportation, 32 (11), 83-90. http://www.cqvip.com/qk/96141x/201911/7100605447.html
  108. Qin Chao, Wang-Ji Yan*, Qian Sun, Wei-Xin Ren (2019) Operational modal analysis of bridge engineering based on Bayesian spectral density approach using a variable separation technique. Engineering Mechanics, 36(10), 212-222. http://engineeringmechanics.cn/article/id/9531
  109. Wang-Ji Yan, Peng-Peng Wang, Qian Sun, Wei-Xin Ren (2018) Recent advances in system identification using transmissibility function. Engineering Mechanics, 35(05), pp. 1-9+26.  http://www.cqvip.com/qk/95324x/201805/675212564.html
  110. Qian Sun, Wang-Ji Yan, Wei-Xin Ren (2017) Operational modal analysis for bridge engineering based on the dynamic transmissibility measurements. Engineering Mechanics, 34(11), 194-201.  http://www.cqvip.com/qk/95324x/201711/673737642.html
  111. Wang-Ji Yan, Shi-Ze Cao, Wei-Xin Ren (2017) Uncertainty quantification for system identification utilizing the Bayesian theory and its recent advances. Applied Mathematics and Mechanics, 38(1), pp.1000-0887.  doi: 21656/1000-0887.370571
  112. Hua-Ping Wan, Wei-Xin Ren, Wang-Ji Yan (2016) Analytical global sensitivity analysis for uncertainty in structural dynamica properties of bridges, Journal of Vibration Engineering, 29(3), 429-435.  http://16385/j.cnki.issn.1004-4523.2016.03.008
  113. Wang-Ji Yan, Wei-Xin Ren (2010) Sensitivity analysis for elemental modal strain energy based on algebraic method. Journal of Vibration and Shock, Vol. 29(4), pp.34-39.  http://www.cqvip.com/qk/95775x/201004/33650693.html
  114. Wang-Ji Yan, Wei-Xin Ren (2009) Sensitivity analysis for modal flexibility based on algebraic method. Journal of Railway Science and Technology, 6(5) pp. 37-41. http://19713/j.cnki.43-1423/u.2009.05.008 

Invited Talks

  1. Keynote speech, Structural System Identification in Complex Service Environments Based on Transfer Ratio Functions: Characteristics, Methods, and Applications, The 6th Jiangsu Province Engineer Association Wind Engineering Academic Conference and International Forum on Monitoring and Controlling Wind Effects on Nearshore Structures, Nantong, November 10, 2024.
  2. Keynote speech, Transmissibility for Structural Operational Modal Identification: Theoretical, Implementation, and Engineering Application, The 18th National Conference on Modal Analysis and Testing, 2021. 
  3. Invited talk, AI4UQ: Artificial Intelligence for Uncertainty Quantification in System Identification, The 10th National Conference on Structural Vibration Control and Health Monitoring, Xiamen, November 1-3, 2024.
  4. Invited talk, AI4UQ: Artificial Intelligence for Uncertainty Quantification in Forward and Inverse Problems of Structural Dynamics, The 12th Cross-Strait University Faculty and Student Seminar on Monitoring and Controlling Civil Engineering, Hangzhou, August 8-10, 2024.
  5. Invited talk, Exploring Some New Bayesian Learning Schemes for Enhanced Structural Model Updating and Damage Detection, The 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2024), April 25-28, 2024, Shanghai, China
  6. Invited talk, Transmissibility-based System Identification and Structural Health Monitoring for Structures under Complicated Operational Conditions, The 9th National Conference on Structural Vibration Control and Health Monitoring, Changsha, July 25, 2023.
  7. Invited talk, Fast Bayesian Model Updating with Advanced Stochastic Simulation, Metamodeling and Distributed Parallelization Strategies, The 8th International Conference on Vibration Engineering, Shanghai, July 25, 2021.
  8. Invited talk, Structural Health Monitoring based on Transmissibility Function subject to Complicated Environmental and Operational Variability, The 13th National Conference on Random Vibration Theory and Application, Dalian, March 25, 2023.
  9. Invited talk, Transmissibility-based structural parameter identification for engineering structures subjected to random vibration: theory, practice, and application, The 12th National Conference on Stochastic Vibration Theory and Application and the 9th National Conference on Stochastic Dynamics, Chongqing, November 28-31, 2020.
  10. Invited talk, Bayesian Inference for Damage Identification based on Ultrafast Wave Scattering Modelling-Assisted Stochastic Simulation Scheme, The University of Nottingham, September 14, 2019.
  11. Invited talk, Uncertainty Characterization for Frequency Responses and its Application to Uncertainty Quantification & Propagation in Bayesian System Identification, International Workshop on Data Science in Civil Engineering, June 06, 2019.
  12. Invited short talk, New Challenges of Uncertainty Quantification for Structural System Identification in the Era of Big Data, The First Academic Seminar for Civil Engineering Young Scholar, TongJi University, December 15-17, 2017.
  13. Invited talk at Xiamen University, Circularly-Symmetric Complex Normal Ratio Distribution for Transmissibility Functions, The 6th Cross-Strait University Faculty and Student Seminar on Monitoring and Controlling Civil Engineering, Xiamen, August 13-17, 2015.

Patents and Software

  1. Wang-Ji Yan, Long Yang, Wei-Xin Ren, Qian Sun, Shi-Ze Cao, A structural vibration frequency domain response signal statistical law detection method under environmental excitation, CN201811331486, 2019-04-09.
  2. Wang-Ji Yan, Shi-Ze Cao, Peng-Peng Wang, Wei-Xin Ren, Long Yang, An Algorithm for Modifying Structural Model Parameters Based on Frequency Response Function, ZL201811325598.6, 2022-04-19. 
  3. Ze-Chao Wang, Wang-Ji Yan,  Ka-Veng Yuen, An FBG-based Hierarchically Amplified Mechanical Long-gage Strain Transducer with Temperature Compensation,  CN202111664953.4, 2022.
  4. Teng Teng Hao, Wang-Ji Yan, Xin Yu Jia. (2023) A physical-model-free Bridge Weigh-In-Motion Method and Device. UMPT0583-2023.
  5. Wang-Ji Yan, Hai-Yi Wu, Qian Sun,  (2022): Copyright of Operational Modal Analysis Software Based on Power Spectral Density Transmissibility, PolyMAX, and Bayesian Approaches. 2022R11L2336828.
  6. Jiang-Zhen Jiang, Wang-Ji Yan, Xin-Yu Jia, Shi-Ze Cao, (2023): Copyright of Structural Stochastic Model Updating based on  Surrogate Model. 2023SR0342711. 

Conference Paper

  1. Wang-Ji Yan,Fast Bayesian Model Updating with Advanced Stochastic Simulation, Metamodeling and Distributed Parallelization Strategies,  the 8th International Conference on Vibration Engineering, Shanghai, China, 24-26 July, 2021. 
  2. Meng-Yun Zhao, Wang-Ji Yan, Wei-Xin Ren and Michael Beer. Probabilistic modelling for frequency response functions and transmissibility functions with complex ratio statistics, 29th European Safety and Reliability Conference, Hannover, Germany, 22 – 26 September 2019.
  3. Wang-Ji Yan, Dimitrios Chronopoulos, Structural anomaly detection based on probabilistic metric distance of transmissibility functions, 8th IOMAC-International Operational Modal Analysis Conference, Copenhagen, Denmark, 13th-15th May 2019.
  4. Wang-Ji Yan, Dimitrios Chronopoulos, Costas Papadimitriou, Sergio Cantero-Chinchilla, Guo-Shu Zhu, Bayesian damage characterization based on probabilistic model of scattering coefficients and hybrid wave finite element model scheme, Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Crete, Greece, 24-26 June 2019.
  5. Meng-Yun Zhao, Wang-Ji Yan and Wei-Xin Ren. On the computation of probability density function of transmissibility function utilizing an efficient numerical method, 7th World Conference on Structural Control and Monitoring, Qingdao, China, July 22-25, 2018.
  6. Lin-bo Cao, Qian Sun, Wang-Ji Yan and Wei-Xin Ren. Operational modal parameter identification of bridge based on power spectrum density transmissibility, 7th World Conference on Structural Control and Monitoring, Qingdao, China, July 22-25, 2018.
  7. Wang-Ji Yan, Long Yang, Wei-Xin Ren. Application of new theorems on ratio statistics to transmissibility analysis in modal domain, 12th International Conference on Structural Safety & Reliability, TU Wien Vienna, Austria, 6-10 August, 2017.
  8. Wang-Ji Yan, Qian Sun and Wei-Xin Ren. Power Spectral Density Transmissibility (PSDT): An effective tool towards operational modal analysis insensitive to natural excitation, 24th Australian Conference on the Mechanics of Structures and Materials, Perth, Australia, 6-9 December, 2016.
  9. Wang-Ji Yan and Wei-Xin Ren. A new theorem on multivariate statistics and its application in uncertainty quantification for transmissibility, Sixth Asian-Pacific Symposium on Structural Reliability and its Applications, Shanghai, 28-30 May, 2016.
  10. Wang-Ji Yan and Lambros Katafygiotis. Explicit closed-form approximation for uncertainty behavior of operational modal analysis: correlation and parametric analysis, International Symposium on Symposium on Reliability of Engineering System (SRES2015), Hangzhou, China, 15 -17 October, 2015.
  11. Wang-Ji Yan and Lambros Katafygiotis. A variable separation technique for fast Bayesian operational modal analysis in the frequency domain, 13th International Symposium on Structural Engineering, Hefei, China, 24 -27 October, 2014.
  12. Wang-Ji Yan and Lambros Katafygiotis. Fast Bayesian approach for ambient modal analysis and model updating: Experimental studies using wireless sensors, 9th International Conference on Structural Dynamics, Porto, Portugal, 30 June-2 July, 2014.
  13. Wang-Ji Yan and Lambros Katafygiotis. Decentralized Bayesian substructuring damage detection approach using nonstationary response measurements, 11th International Conference on Structural Safety & Reliability, New York, USA, 16-20 June, 2013.
  14. Wang-Ji Yan and Lambros Katafygiotis. Incomplete modal data-based structural model updating accommodating multiple uncertainties by employing wireless sensor network, 11th International Conference on Structural Safety & Reliability, New York, USA,16-20 June, 2013.
  15. Wang-Ji Yan and Lambros Katafygiotis. Mode shape assembly for ambient modal analysis using a two-stage Bayesian spectral density approach, 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Kos Island, Greece, 12-14 June, 2013.
  16. Wang-Ji Yan and Lambros Katafygiotis. A two-stage Bayesian approach for ambient modal analysis using wireless sensor: case of closely spaced modes, Joint Conference of the Engineering Mechanics Institute and 11th ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability, Notre Dame, 17-20 June, 2012.
  17. Wang-Ji Yan and Lambros Katafygiotis. A two-stage Bayesian approach for ambient modal analysis using wireless sensor: case of separated modes, Fifth Asian-Pacific Symposium on Structural Reliability and its Applications, Singapore, 22-25 May, 2012.
  18. Wang-Ji Yan and Wei-Xin Ren. Sensitivity study of modal strain energy for structural damage detection, 2nd International Conference on Structural Condition Assessment, Monitoring and Improvement (SCAMI-2), Changsha, 19-22 November, 2007.

More information can be found in Google Scholar and Research Gate