| Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition S Eftekhar Azam, A Rageh, D Linzell Structural Control and Health Monitoring 26 (2), e2288, 2019 | 88 | 2019 |
| Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty A Rageh, SE Azam, DG Linzell International Journal of Fatigue 134, 105458, 2020 | 52 | 2020 |
| Automated, strain-based, output-only bridge damage detection A Rageh, DG Linzell, SE Azam Journal of Civil Structural Health Monitoring 8 (5), 833-846, 2018 | 23 | 2018 |
| Unsupervised machine learning for robust bridge damage detection: full-scale experimental validation E Akintunde, SE Azam, A Rageh, DG Linzell Engineering Structures 249, 113250, 2021 | 20 | 2021 |
| Experimental validation and numerical investigation of virtual strain sensing methods for steel railway bridges SE Azam, MM Didyk, D Linzell, A Rageh Journal of Sound and Vibration 537, 117207, 2022 | 14 | 2022 |
| Optimized health monitoring plans for a steel A Rageh, D Linzell Double-Track Railway Bridge, 2018 | 5 | 2018 |
| Experimental study of continuous-beam lateral torsional–buckling resistance with a noncomposite concrete deck CS Sun, DG Linzell, JA Puckett, E Akintunde, A Rageh Journal of Structural Engineering 148 (4), 04022026, 2022 | 4 | 2022 |
| Model updating and parameter identification for developing digital twins for riveted steel railway bridges A Rageh, SE Azam, Q Alomari, D Linzell, R Wood Recent Developments in Structural Health Monitoring and Assessment …, 2022 | 4 | 2022 |
| Experimental study of stringer lateral torsional resistance using a grillage system C Sun, D Linzell, J Puckett, A Rageh, D Kuruppuarachchi, O Babarinde Proc., Annual Stability Conf. Chicago: Structural Stability Research Council, 2021 | 4 | 2021 |
| Optimized Health Monitoring Plans for a Steel, Double-Track Railway Bridge A Rageh, D Linzell University of Nebraska-Lincoln, 2018 | 4 | 2018 |
| Full scale bridge damage detection using sparse sensor networks, principal component analysis, and novelty detection E Akintunde, SE Azam, A Rageh, D Linzell Proceedings 42 (1), 2019 | 3 | 2019 |
| Dataset for large-scale, lateral-torsional buckling tests of continuous beams in a grillage system A Rageh, CS Sun, DG Linzell, JA Puckett Data in brief 44, 108532, 2022 | 2 | 2022 |
| Top Flange Bracing Forces of Steel Tub Girders A Rageh, E Salem, H Abbas IABSE Symposium Report 98 (4), 12-18, 2012 | 2 | 2012 |
| Experimental and Analytical Studies of Continuous Steel-Stringer Lateral-Torsional Buckling Resistance CS Sun, O Babarinde, D Kuruppuarachchi, DG Linzell, JA Puckett, ... Journal of Bridge Engineering 28 (6), 04023029, 2023 | 1 | 2023 |
| Low-Cost Modal Identification Sensors for Bridge Field Testing D Linzell, S Eftekhar Azam, S Ardani, AE Rageh | 1 | 2021 |
| BEHAVIOR OF BOX TUB GIRDERS WITH ECCENTRIC BRACE ATTACHMENTS H Abbas, E Salem, A Rageh Journal of Al Azhar University Engineering Sector 7 (22), 1-22, 2012 | 1 | 2012 |
| Eccentricity effect of flange bracing on the performance of box girders A Rageh, E Salem, H Abbas IABSE Symposium Report 98 (4), 5-11, 2012 | 1 | 2012 |
| Experimental Evaluation on Lateral Torsional Buckling Resistance of Continuous Steel Stringers CS Sun, DG Linzell, JA Puckett, A Rageh Engineering Journal 60 (1), 1-19, 2023 | | 2023 |
| First Quarter 2023| Volume 60, No. S Stringers, CS Sun, DG Linzell, JA Puckett, A Rageh, HB Sim, XJ Fang, ... | | 2023 |
| Dynamic Bridge Load Rating Using Low-Cost Vibration Sensors S Ardani, SE Azam, DG Linzell, A Rageh Transportation Research Board 102nd Annual MeetingTransportation Research Board, 2023 | | 2023 |
Daniel LinzellAssoc. Dean, Grad & Int’l Pgms, College of Engineering, Univ. of Nebraska-Lincoln在 unl.edu 的电子邮件经过验证
