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Michael D. Todd ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Wan, Hua-Ping / Zhu, Yi-Kai / Luo, Yaozhi / Todd, Michael D.: Unsupervised deep learning approach for structural anomaly detection using probabilistic features. In: 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. In: Journal of Construction Engineering and Management, v. 149, n. 7 (July 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. In: Journal of Civil Structural Health Monitoring, v. 13, n. 2-3 (August 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. In: Engineering Structures, v. 272 (December 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. In: Structural Health Monitoring, v. 22, n. 4 (December 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. In: Smart Structures and Systems, v. 6, n. 5-6 (July 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. In: Structural Health Monitoring, v. 21, n. 1 (December 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. In: Journal of Infrastructure Systems, v. 14, n. 1 (March 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. In: Structural Health Monitoring, v. 21, n. 1 (December 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. In: Structural Health Monitoring, v. 20, n. 3 (January 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. In: Structural Health Monitoring, v. 9, n. 5 (February 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. In: Structural Health Monitoring, v. 11, n. 2 (July 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. In: Structural Health Monitoring, v. 12, n. 2 (December 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. In: Structural Health Monitoring, v. 12, n. 3 (March 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. In: Structural Health Monitoring, v. 13, n. 2 (December 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. In: Structural Health Monitoring, v. 15, n. 4 (July 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. In: Structural Health Monitoring, v. 16, n. 1 (August 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. In: Structural Health Monitoring, v. 15, n. 6 (August 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. In: Structural Health Monitoring, v. 17, n. 1 (December 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. In: Structural Health Monitoring, v. 19, n. 4 (September 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. In: Journal of Engineering Mechanics (ASCE), v. 143, n. 9 (September 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. In: Computers & Structures, v. 218 (July 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. In: Engineering Structures, v. 75 (September 2014).

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

  24. MascareƱas, David L. / Todd, Michael D. / Park, Gyuhae / Farrar, Charles R. (2007): Development of an impedance-based wireless sensor node for structural health monitoring. In: Smart Materials and Structures, v. 16, n. 6 (December 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. In: Smart Materials and Structures, v. 22, n. 2 (February 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. In: Smart Materials and Structures, v. 23, n. 9 (September 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. In: Smart Materials and Structures, v. 25, n. 7 (July 2016).

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

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