Matthew D. Smith
- Benefits of Alternative Criteria for Scheduling Dewatering Events at Navigation Locks and Repairing or Replacing Lock Components. In: Journal of Infrastructure Systems, v. 28, n. 3 (September 2022). (2022):
- Bayesian inference of dense structural response using vision-based measurements. In: Engineering Structures, v. 256 (April 2022). (2022):
- Fatigue life updating of embedded miter gate anchorages of navigation locks using full-scale laboratory testing. In: Structure and Infrastructure Engineering, v. 19, n. 9 (January 2023). (2023):
- Behavior of Flexible Pintles for Miter Gates. In: Journal of Waterway, Port, Coastal, and Ocean Engineering, v. 147, n. 5 (September 2021). (2021):
- Efficient development of vision-based dense three-dimensional displacement measurement algorithms using physics-based graphics models. In: Structural Health Monitoring, v. 20, n. 4 (April 2021). (2021):
- Deep Bayesian neural networks for damage quantification in miter gates of navigation locks. In: Structural Health Monitoring, v. 19, n. 5 (October 2019). (2019):
- Vision-Based Monitoring of Post-Tensioned Diagonals on Miter Lock Gate. In: Journal of Structural Engineering (ASCE), v. 146, n. 10 (October 2020). (2020):
- Detection of uneven hoisting of a Tainter lock gate: a case study for The Dalles Lock and Dam. In: Journal of Civil Structural Health Monitoring, v. 10, n. 4 (June 2020). (2020):
- Automated damage detection in miter gates of navigation locks. In: Structural Control and Health Monitoring, v. 25, n. 1 (January 2018). (2018):