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Publicité

Michael D. Todd ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Wan, Hua-Ping / Zhu, Yi-Kai / Luo, Yaozhi / Todd, Michael D.: Unsupervised deep learning approach for structural anomaly detection using probabilistic features. Dans: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241226804

  2. Wan, Hua-Ping / Zhang, Wen-Jie / Ge, Hui-Bin / Luo, Yaozhi / Todd, Michael D. (2023): Improved Vision-Based Method for Detection of Unauthorized Intrusion by Construction Sites Workers. Dans: Journal of Construction Engineering and Management, v. 149, n. 7 (juillet 2023).

    https://doi.org/10.1061/jcemd4.coeng-13294

  3. Zeng, Jice / Todd, Michael D. / Hu, Zhen (2022): Probabilistic damage detection using a new likelihood-free Bayesian inference method. Dans: Journal of Civil Structural Health Monitoring, v. 13, n. 2-3 (août 2022).

    https://doi.org/10.1007/s13349-022-00638-5

  4. Ramancha, Mukesh K. / Vega, Manuel A. / Conte, Joel P. / Todd, Michael D. / Hu, Zhen (2022): Bayesian model updating with finite element vs surrogate models: Application to a miter gate structural system. Dans: Engineering Structures, v. 272 (décembre 2022).

    https://doi.org/10.1016/j.engstruct.2022.114901

  5. Han, Yang / Feng, Xin / Todd, Michael D. (2022): A novel methodology for quantitative identification of pipeline leakage and negative pressure wave velocity. Dans: Structural Health Monitoring, v. 22, n. 4 (décembre 2022).

    https://doi.org/10.1177/14759217221123403

  6. Taylor, Stuart G. / Farinholt, Kevin M. / Park, Gyuhae / Todd, Michael D. / Farrar, Charles R. (2010): Multi-scale wireless sensor node for health monitoring of civil infrastructure and mechanical systems. Dans: Smart Structures and Systems, v. 6, n. 5-6 (juillet 2010).

    https://doi.org/10.12989/sss.2010.6.5_6.661

  7. Chadha, Mayank / Hu, Zhen / Todd, Michael D. (2021): An alternative quantification of the value of information in structural health monitoring. Dans: Structural Health Monitoring, v. 21, n. 1 (décembre 2021).

    https://doi.org/10.1177/14759217211028439

  8. Park, Gyuhae / Rosing, Tajana / Todd, Michael D. / Farrar, Charles R. / Hodgkiss, William (2008): Energy Harvesting for Structural Health Monitoring Sensor Networks. Dans: Journal of Infrastructure Systems, v. 14, n. 1 (mars 2008).

    https://doi.org/10.1061/(asce)1076-0342(2008)14:1(64)

  9. Vega, Manuel A. / Todd, Michael D. (2021): A variational Bayesian neural network for structural health monitoring and cost-informed decision-making in miter gates. Dans: Structural Health Monitoring, v. 21, n. 1 (décembre 2021).

    https://doi.org/10.1177/1475921720904543

  10. Wu, Zihan / Chong, See Yenn / Todd, Michael D. (2021): Laser ultrasonic imaging of wavefield spatial gradients for damage detection. Dans: Structural Health Monitoring, v. 20, n. 3 (janvier 2021).

    https://doi.org/10.1177/1475921720951336

  11. Fasel, Timothy R. / Todd, Michael D. (2010): Changes in Signal Dimension of Chaotic Ultrasonic Waves During Data Acquisition and Generation. Dans: Structural Health Monitoring, v. 9, n. 5 (février 2010).

    https://doi.org/10.1177/1475921710361325

  12. Flynn, Eric B. / Todd, Michael D. / Croxford, Anthony J. / Drinkwater, Bruce W. / Wilcox, Paul D. (2011): Enhanced detection through low-order stochastic modeling for guided-wave structural health monitoring. Dans: Structural Health Monitoring, v. 11, n. 2 (juillet 2011).

    https://doi.org/10.1177/1475921711414232

  13. Haynes, Colin / Todd, Michael D. / Flynn, Eric / Croxford, Anthony (2012): Statistically-based damage detection in geometrically-complex structures using ultrasonic interrogation. Dans: Structural Health Monitoring, v. 12, n. 2 (décembre 2012).

    https://doi.org/10.1177/1475921712466756

  14. Taylor, Stuart G. / Park, Gyuhae / Farinholt, Kevin M. / Todd, Michael D. (2013): Fatigue crack detection performance comparison in a composite wind turbine rotor blade. Dans: Structural Health Monitoring, v. 12, n. 3 (mars 2013).

    https://doi.org/10.1177/1475921712471414

  15. Jarmer, Gregory JS / Flynn, Eric B. / Todd, Michael D. (2013): Multi-wave-mode, multi-frequency detectors for guided wave interrogation of plate structures. Dans: Structural Health Monitoring, v. 13, n. 2 (décembre 2013).

    https://doi.org/10.1177/1475921713513972

  16. Taylor, Stuart G. / Raby, Eric Y. / Farinholt, Kevin M. / Park, Gyuhae / Todd, Michael D. (2016): Active-sensing platform for structural health monitoring: Development and deployment. Dans: Structural Health Monitoring, v. 15, n. 4 (juillet 2016).

    https://doi.org/10.1177/1475921716642171

  17. Shiki, Sidney B. / da Silva, Samuel / Todd, Michael D. (2016): On the application of discrete-time Volterra series for the damage detection problem in initially nonlinear systems. Dans: Structural Health Monitoring, v. 16, n. 1 (août 2016).

    https://doi.org/10.1177/1475921716662142

  18. Mao, Zhu / Todd, Michael D. (2016): A Bayesian recursive framework for ball-bearing damage classification in rotating machinery. Dans: Structural Health Monitoring, v. 15, n. 6 (août 2016).

    https://doi.org/10.1177/1475921716656123

  19. Liu, Chang-jiang / Todd, Michael D. / Zheng, Zhou-lian / Wu, Yu-You (2016): A nondestructive method for the pretension detection in membrane structures based on nonlinear vibration response to impact. Dans: Structural Health Monitoring, v. 17, n. 1 (décembre 2016).

    https://doi.org/10.1177/1475921716686171

  20. Villani, Luis GG / da Silva, Samuel / Cunha, Americo / Todd, Michael D. (2019): On the detection of a nonlinear damage in an uncertain nonlinear beam using stochastic Volterra series. Dans: Structural Health Monitoring, v. 19, n. 4 (septembre 2019).

    https://doi.org/10.1177/1475921719876086

  21. Wan, Hua-Ping / Todd, Michael D. / Ren, Wei-Xin (2017): Statistical Framework for Sensitivity Analysis of Structural Dynamic Characteristics. Dans: Journal of Engineering Mechanics (ASCE), v. 143, n. 9 (septembre 2017).

    https://doi.org/10.1061/(asce)em.1943-7889.0001314

  22. Chadha, Mayank / Todd, Michael D. (2019): On the material and material-adapted approaches to curve framing with applications in path estimation, shape reconstruction, and computer graphics. Dans: Computers & Structures, v. 218 (juillet 2019).

    https://doi.org/10.1016/j.compstruc.2019.03.011

  23. Wan, Hua-Ping / Mao, Zhu / Todd, Michael D. / Ren, Wei-Xin (2014): Analytical uncertainty quantification for modal frequencies with structural parameter uncertainty using a Gaussian process metamodel. Dans: Engineering Structures, v. 75 (septembre 2014).

    https://doi.org/10.1016/j.engstruct.2014.06.028

  24. Mascareñas, David L. / Todd, Michael D. / Park, Gyuhae / Farrar, Charles R. (2007): Development of an impedance-based wireless sensor node for structural health monitoring. Dans: Smart Materials and Structures, v. 16, n. 6 (décembre 2007).

    https://doi.org/10.1088/0964-1726/16/6/016

  25. Taylor, Stuart G. / Park, Gyuhae / Farinholt, Kevin M. / Todd, Michael D. (2013): Diagnostics for piezoelectric transducers under cyclic loads deployed for structural health monitoring applications. Dans: Smart Materials and Structures, v. 22, n. 2 (février 2013).

    https://doi.org/10.1088/0964-1726/22/2/025024

  26. Harvey, Dustin Y. / Todd, Michael D. (2014): Structural health monitoring feature design by genetic programming. Dans: Smart Materials and Structures, v. 23, n. 9 (septembre 2014).

    https://doi.org/10.1088/0964-1726/23/9/095002

  27. Jung, Hwee-Kwon / Park, Gyuhae / Todd, Michael D. (2016): Structural impact detection with vibro-haptic interfaces. Dans: Smart Materials and Structures, v. 25, n. 7 (juillet 2016).

    https://doi.org/10.1088/0964-1726/25/7/075041

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