Journal Papers

    J106. Zhou, K., Enos, R., Zhang, D., and Tang, J., “Uncertainty analysis of curing-induced dimensional variability of composite structures utilizing physics-guided Gaussian process meta-modeling,” Composite Structures, V286, 114816, 2022. pdf
    Keywords: composite process modeling; uncertainty analysis; Gaussian process; importance ranking; modeling errors.

    J105. Zhou, K., and Tang, J., “Computational inference of vibratory system with incomplete modal information using parallel, interactive and adaptive Markov Chains,” Journal of Sound and Vibration, V511, 116331, 2021. pdf
    Keywords: inverse analysis; incomplete modal information; uncertainties; Bayesian inference; parallel, interactive and adaptive Markov chains; multiple local optima.

    J104. Zhou, K., and Tang, J., “Harnessing fuzzy neural network for gear fault diagnosis with limited data labels,” The International Journal of Advanced Manufacturing Technology, V115(4), 1005-1019, 2021. pdf
    Keywords: gear fault diagnosis; unseen fault scenarios; fuzzy neural network (FNN); kernel principal component analysis (KPCA); fuzzy classification.

    J103. Zhou, K., Sun, H., Enos, R., Zhang, D., and Tang, J., “Harnessing deep learning for physics-informed prediction of composite strength with microstructural uncertainties,” Computational Materials Science, V107, 110663, 2021. pdf
    Keywords: composite strength; representative volume elements (RVEs); microstructural uncertainties; progressive damage model; deep learning; convolutional neural network (CNN); transfer learning.

    J102. Miller, L., Zhou, K., Tang, J., Frame, L.D., Hebert, R.J., Narayan, L.R., Alpay, S.P., Merkouriou, A., and Kim, J., “Thermomechanical finite element simulation and correlation analysis for orthogonal cutting of normalized AISI 9310 steels,” The International Journal of Advanced Manufacturing Technology, V114(11-12), pp3337-3356, 2021. pdf
    Keywords: orthogonal steel cutting; finite element modeling; coupled thermomechanical analysis; Johnson–Cook model; chip morphology; correlation analysis.

    J101. Zhou, K., and Tang, J., “Efficient characterization of dynamic response variation using multi-fidelity data fusion through composite neural network,” Engineering Structures, V232, 111878, 2021. pdf
    Keywords: structural dynamic response; uncertainties; response variation; reduced-order modeling; multi-level; meta-model; neural network.

    J100. Liang, M.X., Cao, P., and Tang, J., “Rolling bearing fault diagnosis based on feature fusion with parallel convolutional neural network,” The International Journal of Advanced Manufacturing Technology, V112(3-4), pp819-831, 2021. pdf
    Keywords: fault identification, parallel convolutional neural network, wavelet, reduced dataset, rolling bearing.

    J99. Li, S., Xu, J., Yao, Y., and Tang, J., “Tunable reflected acoustic wave front modulated with piezoelectric metasurfaces,” Journal of Physics D: Applied Physics, V54(9), 095102, 2021. pdf
    Keywords: adaptive acoustic metasurface, piezoelectric transducer, membrane strength, phase shift.

    J98. Zhou, K., and Tang, J., “Uncertainty quantification of mode shape variation utilizing multi-level multi-response Gaussian process,” ASME Journal of Vibration and Acoustics, V143(1), 011003, 2021. pdf
    Keywords: uncertainty quantification, mode shape, order-reduction, multi-level Gaussian process, multi-response Gaussian process, computational efficiency.

    J97. Zhou, K., and Tang, J., “Structural model updating using adaptive multi-response Gaussian process meta-modeling,” Mechanical Systems and Signal Processing, V147, 107121, 2021. pdf
    Keywords: model updating, frequency responses, error response surface, multi-response Gaussian process (MRGP), meta-model, adaptive sampling.

    J96. Ezzat, A.A., Tang, J., and Ding, Y., “A model-based calibration approach for structural fault detection using piezoelectric impedance measurements and a finite element model,” Structural Health Monitoring, V19(6), pp1839-1855, 2020. pdf
    Keywords: calibration, fault detection, fault diagnosis, impedance measurement, piezoelectric, surrogate models.

    J95. Jiang, T., Xiao, H., Tang, J., Sun, L., and Chen, X., “Local loop shaping for rejecting band-limited disturbances in nonminimum-phase systems with application to laser beam steering for additive manufacturing,” IEEE Transactions on Control Systems Technology, V28(6), pp2249-2262, 2020. pdf
    Keywords: additive manufacturing, disturbance observer (DOB), disturbance rejection, inverse-free control, local loopshaping (LLS), selective laser sintering (SLS)

    J94. Lu, J., Tang, J., Apley, D.W., Zhan, Z., and Chen, W., “A mode tracking method in modal metamodeling for structures with clustered eigenvalues,” Computer Methods in Applied Mechanics and Engineering, V369, 113174, 2020. pdf
    Keywords: stochastic structural dynamics, modal metamodel, clustered eigenvalues, mode tracking.

    J93. Yuan, Y., Chen, X., and Tang J., “Multivariable robust blade pitch control design to reject periodic loads on wind turbines,” Renewable Energy, V146, 329-341, 2020. pdf
    Keywords: wind turbine, periodic disturbances rejection, individual pitch control, robust control, μ-synthesis

    J92. Pan, W., Tang, G., and Tang, J., “Frequency response-based uncertainty analysis of vibration system utilizing multiple response Gaussian process,” ASME Journal of Vibration and Acoustics, V141(5), 051010, 2019. pdf
    Keywords: frequency response function, vector fitting, multiple response Gaussian process, Bayesian inference, uncertainty quantification

    J91. Cao, P., Shuai, Q., and Tang, J., “Leveraging Gaussian process regression and many-objective optimization through voting scores for fault identification,” IEEE Access, V7, 94481-94496, 2019. pdf
    Keywords: structural fault identification, piezoelectric impedance/admittance, meta-modeling, Gaussian process, many-objective optimization, simulated annealing, voting score

    J90. Cao, P., Fan, Z., Gao, R.X., and Tang, J., “Harnessing multi-objective simulated annealing toward configuration optimization within compact space for additive manufacturing,” Robotics and Computer-Integrated Manufacturing, V57, 29-45, 2019. pdf
    Keywords: configuration design, multi-objective optimization, simulated annealing, hard constraints

    J89. Liu, Y., Zhou, S., Chen, Y., and Tang, J., “Measurements selection for bias reduction in structural damage identification,” ASME Journal of Dynamic Systems, Measurement, and Control, V140(3), 031003, 2019. pdf
    Keywords: structural damage identification, Bias reduction, compressed sensing, L1-norm minimization, natural frequencies

    J88. Dong, W., Chen, F., Gao, F., Yang, M., Sun, L., Du, Z., Tang. J., and Zhang, D., “Development and analysis of a bridge-lever-type displacement amplifier based on hybrid flexure hinges,” Precision Engineering, V54, 171-181, 2018  pdf
    Keywords: displacement amplifier, compact structure, amplification ratio, load capacity, hybrid flexure hinges

    J87. Xu, J., Yan, R., and Tang, J., “Broadening bandgap width of piezoelectric metamaterial by introducing cavity,” Applied Sciences, V8(9), 1606, 2018. pdf
    Keywords: acoustic metamaterial, piezoelectric transducer, LC shunt circuit, bandgap width, electro-mechanical coupling, geometric cavity

    J86. Pan, W., Tang, G., and Tang, J., “Evaluation of uncertainty effects to band gap behavior of circuitry-integrated piezoelectric metamaterial using order-reduced analysis,” Journal of Intelligent Material Systems and Structures, V29(12), pp2677-2692, 2018. pdf
    Keywords: piezoelectric metamaterial, uncertainty effects, order-reduced modeling, component mode synthesis, bandgap

    J85. Cao, P., Zhang, S., and Tang, J., “Preprocessing-free gear fault diagnosis using small datasets with deep convolutional neural network-based transfer learning,” IEEE Access, V6(1), pp26241-26253, 2018. pdf
    Keywords: alexnet, deep convolutional neural network, gear fault diagnosis, transfer learning.

    J84. Cao, P., Fan, Z., Gao, R.X., and Tang, J., “Design for additive manufacturing: optimization of piping network in compact system with enhanced path-finding approach,” ASME Journal of Manufacturing Science and Engineering, V140(8), 081013, 2018. pdf
    Keywords: design for additive manufacturing, path-finding, gridded graphs, visibility graphs, piping network, freeform.

    J83. Xu, J., Li, S., and Tang, J., “Customized shaping of vibration modes by acoustic metamaterial synthesis,” Smart Materials and Structures, V27(4), 045001, 2018. pdf
    Keywords: piezoelectric metamaterial, inductive circuitry, bandgap, effective resonant cavity, vibration modes, mode shaping, adaptivity.

    J82. Hegde, A., and Tang, J., “Identifying parametric variation in second-order system from frequency response measurement,” Journal of Vibration and Control, v24(5), pp879-891, 2018. pdf
    Keywords: second-order system, frequency response, parametric variation, inverse identification, maximum likelihood estimation.

    J81. Cao, P., Shuai, Q., and Tang, J., “Structural damage identification using piezoelectric impedance measurement with sparse inverse analysis,” Smart Materials and Structures, V27(3), 035020, 2018. pdf
    Keywords: damage identification, piezoelectric impedance/admittance, inverse analysis, sparse regularization, l0 norm, multi-objective optimization.

    J80. Li, S., Xu, J., and Tang, J., “Tunable modulation of refracted Lamb wave front facilitated by adaptive elastic metasurfaces,” Applied Physics Letters, V112(2), 021903, 2018. pdf
    Keywords: wave modulation, elastic metasurface, adaptivity, piezoelectric unit cell, negative capacitance, anomalous refraction, planar focal lense, source illusion.

    J79. Cao, P., Shuai, Q., and Tang, J., “A multi-objective DIRECT algorithm toward structural damage identification with limited dynamic response information,” ASME Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, V1(2), 021004, 2018. pdf
    Keywords: damage identification, multiple damage location assurance criterion, multi-objective optimization, DIRECT (Dividing RECTangles) algorithm.  

    J78. Zhou, K., and Tang, J., “Uncertainty quantification in structural dynamic analysis using two-level Gaussian processes and Bayesian inference,” Journal of Sound and Vibration, V412(6), pp95-115, 2018. pdf   
    Keywords: uncertainty quantification, order-reduced modeling, component mode synthesis, two-level Gaussian processes emulator, Bayesian inference.

    J77. Lu, Y., and Tang, J., “On time-frequency domain feature extraction of wave signals for structural health monitoring,” Measurement, V114, pp51-59, 2018. pdf
    Keywords: Lamb wave, structural health monitoring, harmonic wavelet transform, empirical mode decomposition, feature extraction.  

    J76. Zhang, S., and Tang, J., “Integrating angle-frequency domain synchronous averaging technique with feature extraction for gear fault diagnosis,” Mechanical Systems and Signal Processing, V99, pp711-729, 2018.  pdf
    Keywords: geabox fault diagnosis, angle-frequency domain schchronous averaging, non-stationary operation, feature extraction and highlighting.  

    J75. Yuan, Y., and Tang, J., “On advanced control methods toward power capture and load mitigation in wind turbines,” Engineering, V3(4), pp494-503, 2017. pdf
    Keywords: wind turbine, control strategies, power capture, load mitigation.

    J74. Liu, Y., Shuai, Q., Zhou, S., and Tang, J., “Prognosis of structural damage growth via integration of physical model prediction and Bayesian estimation,” IEEE Transactions on Reliability, V66(3), pp700-711, 2017. pdf
    Keywords: damage prognosis, hierachical Bayesian model, Markov chain Monte Carlo, physical model prediction.  

    J73. Cooper, J., Cao, C., and Tang, J., “L1 adaptive control for aircraft air management system pressure-regulating bleed valve,” ASME Journal of Dynamic Systems, Measurement, and Control, V139(12), 121005, 2017.  pdf
    Keywords: adaptive control, bleed valve, hysteresis, pressure regulation.

    J72. Dong, W., Chen, F., Yang, M., Du, Z.-J., Tang, J., and Zhang, D., “Development of a highly efficient bridge-type mechanism based on negative stiffness,” Smart Materials and Structures, V26(9), 095053, 2017. pdf
    Keywords: displacement amplifier, bridge-type mechanism, negative stiffness, buckled beam.

    J71. Xu, J., and Tang, J., “Tunable prism based on piezoelectric metamaterial for acoustic beam steering,” Applied Physics Letters, V110(18), 181902, 2017.  pdf
    Keywords: metamaterial, wave propagation, piezoelectric circuitry, tunable prism.

    J70. Shuai, Q., Zhou, K., Zhou, S., and Tang, J., “Fault identification using piezoelectric impedance measurement and model-based intelligent inference with pre-screening,” Smart Materials and Structures, V26(4), 045007, 2017. pdf
    Keywords: fault identification, piezoelectric impedance/admittance, sensitivity, pre-screening, Bayesian inference, uncertainty.

    J69. Yuan, Y., Chen, X., and Tang, J., “Disturbance observer based pitch control of wind turbines for enhanced speed regulation,” ASME Journal of Dynamic Systems, Measurement, and Control, V139(7), 071006, 2017. pdf
    Keywords: disturbance observer based control, wind turbine, generator speed regulation, disturbance rejection.

    J68. Yoo, D., Lee, I., and Tang, J., “Reliability-oriented optimal design of intentional mistuning for bladed disk with random and interval uncertainties,” Engineering Optimization,  V49(5), pp796-814, 2017.  pdf
    Keywords: bladed disk, design optimization, random mistuning, interval uncertainty, reliability analysis.

    J67. Xu, J., and Tang, J., “Modeling and analysis of piezoelectric cantilever-pendulum system for multi-directional energy harvesting,” Journal of Intelligent Material Systems and Structures, V28(3), pp323-338, 2017. pdf
    Keywords: piezoelectric energy harvesting, multi-directional energy harvesting, 1:2 internal resonance, energy interchange, dynamic magnifier.

    J66. Yuan, Y., and Tang, J., “Adaptive pitch control of wind turbine for load mitigation under structural uncertainties,” Renewable Energy, V105, pp483-494, 2017. pdf
    Keywords: wind turbine, pitch control, load mitigation, adaptive control, turbulent wind field, uncertainties.

    J65. Zhou, K., Hegde, A., Cao, P., and Tang, J., “Design optimization towards alleviating forced response variation in cyclically periodic structure using Gaussian process,” ASME Journal of Vibration and Acoustics, V139(1), 011017, 2017.  pdf
    Keywords: cyclically periodic structure, uncertainties, response variation, intentional mistuning, design optimization, Gaussian process.

    J64. Li, S., and Tang, J., “On vibration suppression and energy dissipation using tuned mass particle damper,” ASME Journal of Vibration and Acoustics, V139(1), 011008, 2017. pdf
    Keywords: particle damper, tuned mass damper, tuned mass particle damper, discrete element method, energy dissipation, vibration suppression.

    J63. Liu, Y., Zhou, S., and Tang, J., “Identifiability analysis of finite element models for vibration-response based structural damage detection,” ASME Journal of Dynamic Systems, Measurement, and Control, V138(12), 121006, 2016. pdf
    Keywords: finite element model, identifiability, transfer function, damage detection.

    J62. Zhou, K., and Tang, J., “Highly efficient probabilistic finite element model updating using intelligent inference with incomplete modal information,” ASME Journal of Vibration and Acoustics, V138(5), 051016, 2016. pdf
    Keywords: probabilistic finite element model updating, uncertainty, incomplete modal measurement, Bayesian inference, Markov Chain Monte Carlo, Gaussian process, APDL.

    J61. Zhang, S., and Tang, J., “System-level modeling and parametric identification of electric impact wrench,” ASME Journal of Manufacturing Science and Engineering, V138(11), 111010, 2016.pdf
    Keywords: electric impact wrench, dynamic modeling, mechanical response, parametric identification.

    J60. Diehl, E., and Tang, J., “Predictive modeling of a two-stage gearbox towards fault detection,” Shock and Vibration, V2016, 9638325, 2016. pdf
    Keywords: gearbox vibration, system-level modeling, harmonic wavelet transform, feature extraction, fault detection.

    J59. Zhou, K., Liang, G., and Tang, J., “Component mode synthesis order-reduction for dynamic analysis of structure modeled with NURBS finite element,” ASME Journal of Vibration and Acoustics, V138(2), 021016, 2016. pdf
    Keywords: dynamic analysis, NURBS finite element, conformal geometry representation, order reduction, component mode synthesis.

    J58. Zhou, K., Christenson, R., and Tang, J., “Rapid identification of properties of column-supported bridge-type structure by using vibratory response,” Journal of Vibration and Control, V22(5), pp1415-1430, 2016. pdf
    Keywords: vibration response, modal analysis, beam-type structure with column-support, assumed mode discretization, system identification, inverse analysis.

    J57. Xu, J., and Tang, J., “Multi-directional energy harvesting by piezoelectric cantilever-pendulum with internal resonance,” Applied Physics Letters, V107(22), 213902, 2015. pdf
    Keywords: piezoelectric energy harvesting, multi-direction excitation, internal resonance.

    J56. Xu, J., and Tang, J., “Linear stiffness compensation using magnetic effect to improve electro-mechanical coupling for piezoelectric energy harvesting,” Sensors and Actuators A: Physical, V235, pp80-94, 2015. pdf
    Keywords: piezoelectric energy harvesting, vibration energy, electro-mechanical coupling, magnetic effect, stiffness compensation.

    J55. Zhou, K., and Tang, J., “Reducing dynamic response variation using NURBS finite element based geometry perturbation,” ASME Journal of Vibration and Acoustics, V137(6), 061008, 2015. pdf
    Keywords: uncertainties, response variation, curved surface geometry, robust design, sensitivity, NURBS finite element method.

    J54. Shuai, Q., and Tang, J., “Direct compensation of lift-off oscillation effect in magnetic impedance-based damage detection,” Journal of Intelligent Material Systems and Structures, V26(17), pp2351-2361, 2015. pdf
    Keywords: magnetic transducer, non-contact sensing, impedance measurement, lift-off oscillation, damage detection.

    J53. Shuai, Q., and Tang, J., “Enhanced modeling of magnetic impedance sensing system for damage detection,” Smart Materials and Structures, V23(2), 025008, 2014. pdf
    Keywords: magnetic transducer, magneto-mechanical interaction, system modeling, impedance measurement, damage detection

    J52. Xia, Z., and Tang, J., “Characterization of dynamic response of structure with uncertainties by using Gaussian processes,” ASME Journal of Vibration and Acoustics, V135(5), 051006, 2013. pdf
    Keywords: dynamic analysis, uncertainty, Gaussian process emulation, Bayesian inference, maximum likelihood.

    J51. Zhao, J., and Tang, J., “Amplifying damage signature in periodic structures using enhanced piezoelectric networking with negative resistance elements,” Journal of Intelligent Material Systems and Structures, V24(13), pp1613-1625, 2013. pdf
    Keywords: periodic structure, piezoelectric network, negative resistance, response anomaly amplification, damping reduction, stability analysis.

    J50. Wang, X., and Tang, J., “Modeling and analysis of magnetic impedance sensor with circuitry integration for damage detection,” Journal of Intelligent Material Systems and Structures, V23(16), pp1799-1812, 2012. pdf
    Keywords: damage detection, magnetic impedance, circuitry integration, sensor optimization, magneto-mechanical coupling, Lorentz force.

    J49. Lu, Y., and Tang, J., “Electromechanical tailoring of structure with periodic piezoelectric circuitry,” Journal of Sound and Vibration, V331(14), pp3371-3385, 2012. pdf
    Keywords: spatial periodicity, bandgap bahavior, piezoelectric circuitry, transfer matrix, wave propagation, vibration isolation.

    J48. Lu, Y., Tang, J., and Luo, H., “Wind turbine gearbox fault detection using multiple sensors with features level data fusion,” ASME Journal of Engineering for Gas Turbines and Power, V134(4), 042501, 2012. pdf
    Keywords: wind turbine, gearbox, condition monitoring, wavelet, response measurement, data fusion.

    J47. Zhao, J., Tang, J. , and Wang, K.W., “Anomaly amplification for damage detection of periodic structures via piezoelectric transducer networking,” Smart Materials and Structures, V20(10), 105006, 2011. pdf
    Keywords: periodic structure, damage detection, anomaly amplification, localization enhancement, Lyapunov exponent.

    J46. Johnson, R., Tang, J., and Pitchumani, R., “Characterization of damping in carbon nanotube filled fiberglass reinforced thermosetting-matrix composites,” Journal of Materials Science, V46(13), pp4545-4554, 2011. pdf
    Keywords: carbon nanotube, fiberglass reinforced, matrix composites, damping.

    J45. Zhao, J., Wang, X., and Tang, J., “Damping reduction in structures using piezoelectric circuitry with negative resistance,” ASME Journal of Vibration and Acoustics, V133(4), 041009, 2011. pdf
    Keywords: damping reduction, piezoelectric circuitry, negative resistance, marginal stability, response amplification.

    J44. Wang, X., and Tang, J., “Structural damage detection using magnetic impedance approach with circuitry Integration,” Smart Materials and Structures, V20(3), 035022, 2011. pdf
    Keywords: damage detection, magneto-mechanical coupling, impedance measurement, circuitry integration, signal-to-noise ratio.

    J43. Wang, X., and Tang, J., “Damage detection using piezoelectric impedance approach with inductive circuitry,” Journal of Intelligent Material Systems and Structures, V21(7), pp667-676, 2010. pdf
    Keywords: damage detection, admittance approach, piezoelectric transducer, inductive circuitry, resonant effect, frequency veering.

    J42. Wang, X., and Tang, J., “An enhanced piezoelectric impedance approach for damage detection with circuitry integration,” Smart Materials and Structures, V19(4), 045001, 2010. pdf
    Keywords: damage detection, piezoelectric circuitry, measurement amplification, tunable inductance.

    J41. Park, C., Tang, J., and Ding, Y., “Aggressive data reduction for damage detection in structural health monitoring,” Structural Health Monitoring, V9(1), pp59-74, 2010. pdf
    Keywords: damage detection, data reduction, feature subset selection, energy-efficient sensor network, wavelet shrinkage.

    J40. Cho, J.J., Ding, Y., Chen, Y., and Tang, J., “Robust calibration for localization in clustered wireless sensor networks,” IEEE Transactions on Automation Science and Engineering, V7(1), pp81-95, 2010. pdf
    Keywords: ad-hoc sensor network, least-trimmed squares estimator, robust regression, sensor localization.

    J39. Li, Q., Swaminathan, H., and Tang, J., “Development of a classification system for engineering student characteristics affecting college enrollment and retention,” Journal of Engineering Education, V98(4), pp361-376, 2009. pdf
    Keywords: measurement, retention and enrollment, student characteristics

    J38. Dong, W., Tang, J., and ElDeeb, Y., “Design of linear-motion dual stage actuation system for precision control,” Smart Materials and Structures, V18(9), 095035, 2009. pdf
    Keywords: precision control, voice coil motor, piezoelectric stack actuator, dual-stage actuation, flexure hinge mechanism, mechatronics synthesis.

    J37. Wang, X., and Tang, J., “Damage identification using piezoelectric impedance approach and spectral element method,” Journal of Intelligent Material Systems and Structures, V20(8), pp907-921, 2009. pdf
    Keywords: piezoelectric impedance, spectral element method, model-based inverse damage identification.

    J36. Wu, X.J., Tang, J., Li, Q., and Heng, K.H., “Development of a configuration space motion planner for robot in dynamic environment,” Robotics and Computer-Integrated Manufacturing, V25(1), pp13-31, 2009. pdf
    Keywords: on-line motion planning, configuration space, non-uniform 2m tree, A* searching, multi-resolution.

    J35. Zhao, J., Tang, J., and Wang, K.W., “Enhanced statistical damage identification using frequency shift information with tunable piezoelectric transducer circuitry,” Smart Materials and Structures, V17(6), 065003, 2008. pdf
    Keywords: damage identification, frequency shift, piezoelectric circuit, tunable inductance, uncertainty and noise, statistical analysis, robust detection.

    J34. Xue, X., and Tang, J., “Vibration control of nonlinear rotating beam using piezoelectric actuator and sliding mode approach,” Journal of Vibration and Control, V14(6), pp885-908, 2008. pdf
    Keywords: vibration control, rotating beam, nonlinear coupling, piezoelectric actuator, sliding mode control, chattering.

    J33. Fang, X., Luo, H., and Tang, J., “Investigation of granular damping in transient vibrations using Hilbert transform based technique,” ASME Journal of Vibration and Acoustics, V130(3), 031006, 2008. pdf
    Keywords: granular damping, Hilbert transform, nonlinearity, empirical mode decomposition.

    J32. Wang, X., Lu, Y., and Tang, J., “Damage detection using piezoelectric transducers and the Lamb wave approach: I system analysis,” Smart Materials and Structures, V17(2), 025033, 2008. pdf
    Keywords: damage detection, Lamb wave, dispersion, symmetric and anti-symmetric wave modes, ‘sweet spot’ frequency.

    J31. Lu, Y., Wang, X., Tang, J., and Ding, Y., “Damage detection using piezoelectric transducers and the Lamb wave approach: II robust and quantitative decision making,” Smart Materials and Structures, V17(2), 025034, 2008. pdf
    Keywords: damage detection, Lamb wave, feature extraction, adaptive harmonic wavelet transform, principal component analysis, robust decision making, T2 statistic analysis.

    J30. Li, Q., McCoach, D.B., Swaminathan, H., and Tang, J., “Development of an instrument to measure perspective of engineering education,” Journal of Engineering Education, V97(1), pp47-56, 2008. pdf
    Keywords: expectancy values, instrument design, perspectives about engineering.

    J29. Jiang, L.J., Tang, J., and Wang, K.W., “On the tuning of variable piezoelectric transducer circuitry network for structural damage identification,” Journal of Sound and Vibration, V309(3-5), pp695-717, 2008. pdf
    Keywords: damage identification, frequency shift, tunable inductance, optimal tuning, sensitivity.

    J28. Jiang, L.J., Tang, J., and Wang, K.W., “An optimal sensitivity-enhancing feedback control approach via eigenstructure assignment for structural damage identification,” ASME Journal of Vibration and Acoustics, V129(6), pp771-783, 2007. pdf
    Keywords: frequency shift, damage detection, sensitivity enhancing feedback control, eigenstructure assignment, measurement noise.

    J27. Fang, X., Tang, J., and Luo, H., “Granular damping analysis using an improved discrete element approach,” Journal of Sound and Vibration, V308(1-2), pp112-131, 2007. pdf
    Keywords: granular damping, numerical analysis, discrete element method, contact detection, link cell scheme, Verlet table.

    J26. Fang, X., and Tang, J., “A numerical study on the segregation phenomenon in granular motion,” Journal of Vibration and Control, V13(5), pp711-729, 2007. pdf
    Keywords: granular segregation, discrete element method, percolation effect, inertia, convection, fluidization.

    J25. Wu, X.J., Tang, J., Li, Q., and Heng, K.H., “A vector-format fuzzy logic approach for on-line robot motion planning in 3D space and its application to underwater robotics vehicle,” Robotica, V25(3), pp325-339, 2007. pdf
    Keywords:motion planning, fuzzy logic, vector format, 3D space, underwater robotics vehicle

    J24. Fang, X., and Tang, J., “A direct simulation Monte Carlo approach for the analysis of granular damping,” ASME Journal of Computational and Nonlinear Dynamics, V2(2), pp180-189, 2007. pdf
    Keywords: granular damping, numerical simulation, direct simulation Monte Carlo approach, vibration analysis, energy dissipation

    J23. Wu, X.J., Tang, J., and Heng, K.H., “On the construction of discretized configuration space of manipulators,” Robotica, V25(1), pp1-11, 2007. pdf
    Keywords: robot manipulators, configuration space obstacle, bit maps, motion planning, dynamic environment.

    J22. Xue, X., Tang, J. , Sammes, N., and Ding, Y., “Model-based condition monitoring of PEM fuel cell using Hotelling T² control limit,” Journal of Power Sources, V162(1), pp388-399, 2006. pdf
    Keywords: PEM fuel cell, condition monitoring, dynamic model, uncertainty, measurement noise, statistical analysis

    J21. Fang, X., and Tang, J., “Granular damping in forced vibration: qualitative and quantitative analyses,” ASME Journal of Vibration and Acoustics, V128(4), pp489-500, 2006. pdf
    Keywords: granular damping, analytical modeling, multi-phase flow, shear stress, viscosity, Boltzmann’s statistical approach, frictional impact.

    J20. Jiang, L.J., Tang, J., and Wang, K.W., “An enhanced frequency-shift based damage identification method using tunable piezoelectric transducer circuitry,” Smart Materials and Structures, V15(3), pp799-808, 2006. pdf
    Keywords: damage identification, piezoelectric transducer circuitry, tunable circuit, inverse analysis.

    J19. Xue, X., and Tang, J., “Robust and high precision control using piezoelectric actuator circuit and integral continuous sliding mode control design,” Journal of Sound and Vibration, V293(1-2), pp335-359, 2006. pdf
    Keywords: piezoelectric actuator, hysteresis compensation, high precision, robust control, shunt circuit, actuator dynamics, integral continuous sliding mode control.

    J18. Fang, X., Tang, J., Jordan, E., and Murphy, K., “Crack induced vibration localization in simplified bladed-disk structures,” Journal of Sound and Vibration, V291(1-2), pp395-418, 2006. pdf
    Keywords: bladed-disk, crack, vibration localization, linear elastic fracture mechanics, piezoelectric actuator, engine order excitation, localization level.

    J17. Xue, X., and Tang, J., “A PEM fuel cell dynamic model with phase change effect,” ASME Journal of Fuel Cell Science and Technology, V2(4), pp274-284, 2005. pdf
    Keywords: PEM fuel cell, system-level model, phase change, over-saturated state, humidification.

    J16. Fang, X., Luo, H., and Tang, J., “Structural damage detection using neural network with learning rate improvement,” Computers and Structures, V83(25-26), pp2150-2161, 2005. pdf
    Keywords: damage detection, crack location and severity, non-model based, neural network, Learning rate, fuzzy logic, adaptive learning.

    J15. Xue, X., Tang, J., Du, Y., and Sammes, N., “Dynamic modeling of single tubular solid oxide fuel cell combining heat/mass transfer and electrochemical reaction effects,” Journal of Power Sources, V142(1-2), pp211-222, 2005. pdf
    Keywords: SOFC, dynamic modeling, tubular, heat transfer, mass transfer.

    J14. Pathapati, P.R., Xue, X., and Tang, J., “A new dynamic model for predicting transient phenomena of PEM fuel cell system,” Renewable Energy, V30(1), pp1-22, 2005. pdf
    Keywords: PEM fuel cell, transient phenomena, system level dynamics, charge double layer capacitance.

    J13. Menon, S., and Tang, J., “A state-space approach for the dynamic analysis of viscoelastic systems,” Computers and Structures, V82(15-16) , pp1123-1130, 2004. pdf
    Keywords: viscoelastic systems, state-space method, vibration analysis, finite element method, hereditary behavior, relaxation kernel.

    J12. Xue, X., Tang, J., Smirnova, A., England, R., and Sammes, N., “System-level lumped parameter dynamic modeling of PEM fuel cell,” Journal of Power Sources, V133(2), pp188-204, 2004. pdf
    Keywords: PEM fuel cell, system-level modeling, lumped-parameter model, transient dynamics, control volume approach.

    J11. Tang, J., and Wang, K.W., “Vibration confinement via optimal eigenvector assignment and piezoelectric network,” ASME Journal of Vibration and Acoustics, V126(1), pp27-36, 2004. pdf
    Keywords: vibration control, vibration confinement, eigenvector assignment, piezoelectric network, Rayleigh principle.

    J10. Tang, J., and Wang, K.W., “Vibration de-localization of nearly periodic structures using coupled piezoelectric networks,” ASME Journal of Vibration and Acoustics, V125(1), pp95-108, 2003. pdf
    Keywords: periodic structure, mistuning, vibration localization, coupled piezoelectric network, de-localization, transfer matrix, Lyapunov exponent.

    J9. Tang, J., and Wang, K.W., “Active-passive hybrid piezoelectric networks for vibration control: comparisons and improvement,” Smart Materials and Structures, V10(4), pp794-806, 2001. pdf
    Keywords: active-passive control, piezoelectric network, serial shunt, parallel shunt, negative capacitance, damping, active control authority.

    J8. Tang, J., and Wang, K.W., “High authority and nonlinearity issues in active-passive hybrid piezoelectric networks for structural damping,” Journal of Intelligent Material Systems and Structures, V11(8), pp581-591, 2000. pdf
    Keywords: active-passive hybrid control, piezoelectric network, vibration control, high authority, material nonlinearity, robust control, sliding mode control.

    J7. Tang, J., Liu, Y., and Wang, K.W., “Semi-active and active-passive hybrid structural damping treatments via piezoelectric materials,” The Shock and Vibration Digest, V32(3), pp189-200, 2000. pdf
    Keywords: semi-active control, active-passive control, damping, piezoelectric materials, vibration suppression.

    J6. Tang, J., and Wang, K.W., “Vibration control of rotationally periodic structures using passive piezoelectric shunt networks and active compensation,” ASME Journal of Vibration and Acoustics, V121(3), pp379-391, 1999. pdf
    Keywords: vibration control, rotationally periodic structure, piezoelectric shunt, optimal tuning, active compensation.

    J5. Tang, J., and Wang, W.-L., “On calculation of sensitivity for non-defective eigenproblems with repeated roots,” Journal of Sound and Vibration, V225(4), pp611-631, 1999. pdf
    Keywords: sensitivity analysis, non-defective eigenproblem, repeated roots, direct solution, generalized inverse.

    J4. Tang, J., Ni, W., and Wang, W.-L., “Eigensolutions sensitivity for quadratic eigenproblems,” Journal of Sound and Vibration, V196(2), pp179-188, 1996. pdf
    Keywords: eigensolution sensitivity; quadratic eigenvalue problem; large-scale system.

    J3. Zhang, W., Tang, J., and Tao, M., “Dynamic stability of rotor filled or partially filled with liquid,” ASME Journal of Applied Mechanics, V63(1), pp101-105, 1996. pdf
    Keywords: rotor dynamics; liquid-filled rotor; dynamic stability; damping.

    J2. Tang, J., and Wang, W.-L., “Structural reanalysis in configuration space by perturbation approach: a real mode method,” Computers and Structures, V58(4), pp739-746, 1996. pdf
    Keywords: structural re-analysis; classically damped system; orthogonal decomposition.

    J1. Tang, J., and Wang, W.-L., “Perturbation method for determining eigensolutions of weakly damped system,” Journal of Sound and Vibration, V187(4), pp671-681, 1995. pdf
    Keywords: eigensolution perturbation; weakly damped system; repeated eigenvalues; generalized flexibility matrix.