-
Chadha, Mayank / Hu, Zhen / Farrar, Charles R. / Todd, Michael D.: A value-of-information-based optimal sensor placement design framework for cost-effective structural health monitoring (with application to miter gate monitoring). In: Structural Health Monitoring.
https://doi.org/10.1177/14759217241275643
-
Zeng, Jice / Todd, Michael D. / Zhao, Zhao / Hu, Zhen: Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference. In: Structural Health Monitoring.
https://doi.org/10.1177/14759217241287864
-
Han, Yang / Feng, Xin / Li, Minghao / Todd, Michael D.: A Bayesian detector-based approach for determining arrival and departure times of negative pressure waves in pipeline leakage localization. In: Structural Health Monitoring.
https://doi.org/10.1177/14759217241270936
-
Qian, Guofeng / Wu, Zihan / Hu, Zhen / Todd, Michael D.: Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data. In: Structural Health Monitoring.
https://doi.org/10.1177/14759217241264291
-
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
-
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 (Juli 2023).
https://doi.org/10.1061/jcemd4.coeng-13294
-
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
-
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 (Dezember 2022).
https://doi.org/10.1016/j.engstruct.2022.114901
-
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 (Dezember 2022).
https://doi.org/10.1177/14759217221123403
-
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 (Juli 2010).
https://doi.org/10.12989/sss.2010.6.5_6.661
-
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 (Dezember 2021).
https://doi.org/10.1177/14759217211028439
-
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 (März 2008).
https://doi.org/10.1061/(asce)1076-0342(2008)14:1(64)
-
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 (Januar 2021).
https://doi.org/10.1177/1475921720951336
-
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 (Februar 2010).
https://doi.org/10.1177/1475921710361325
-
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 (Juli 2011).
https://doi.org/10.1177/1475921711414232
-
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 (Dezember 2012).
https://doi.org/10.1177/1475921712466756
-
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 (März 2013).
https://doi.org/10.1177/1475921712471414
-
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 (Dezember 2013).
https://doi.org/10.1177/1475921713513972
-
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 (Juli 2016).
https://doi.org/10.1177/1475921716642171
-
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
-
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
-
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 (Dezember 2016).
https://doi.org/10.1177/1475921716686171
-
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
-
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
-
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 (Juli 2019).
https://doi.org/10.1016/j.compstruc.2019.03.011
-
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
-
Mascareñas, 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 (Dezember 2007).
https://doi.org/10.1088/0964-1726/16/6/016
-
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 (Februar 2013).
https://doi.org/10.1088/0964-1726/22/2/025024
-
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
-
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 (Juli 2016).
https://doi.org/10.1088/0964-1726/25/7/075041