Daniel G. Linzell 
- (2024): Reinforced Concrete Bridge Column Multihazard Performance: A Computational Tool to Assess Response to Vehicle Impact, Air Blast, and Fire. In: Journal of Performance of Constructed Facilities (ASCE), v. 38, n. 1 (February 2024).
- (2023): Singular value decomposition and unsupervised machine learning for virtual strain sensing: Application to an operational railway bridge. In: Structures, v. 58 (December 2023).
- (2020): Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty. In: International Journal of Fatigue, v. 134 (May 2020).
- (2021): Unsupervised Machine Learning for Robust Bridge Damage Detection: Full-Scale Experimental Validation. In: Engineering Structures, v. 249 (December 2021).
- (2021): Residual Axial Capacity Estimates for Bridge Columns Subjected to Combined Vehicle Collision and Air Blast. In: Journal of Bridge Engineering (ASCE), v. 26, n. 7 (July 2021).
- (2020): Shear-Buckling Coefficients for Slender, Horizontally Curved Plates. In: Journal of Structural Engineering (ASCE), v. 146, n. 3 (March 2020).
- (2005): Response of a continuous, skewed, steel bridge during deck placement. In: Journal of Constructional Steel Research, v. 61, n. 5 (May 2005).
- (2013): Use of response surface metamodels to generate system level fragilities for existing curved steel bridges. In: Engineering Structures, v. 52 (July 2013).
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