| Life-cycle of structural systems: recent achievements and future directions DM Frangopol, M Soliman Structures and infrastructure systems, 46-65, 2019 | 333 | 2019 |
| Generalized probabilistic framework for optimum inspection and maintenance planning S Kim, DM Frangopol, M Soliman Journal of Structural Engineering 139 (3), 435-447, 2013 | 194 | 2013 |
| Maintenance and operation of infrastructure systems M Sánchez-Silva, DM Frangopol, J Padgett, M Soliman Journal of Structural Engineering 142 (9), F4016004, 2016 | 155 | 2016 |
| A probabilistic approach for optimizing inspection, monitoring, and maintenance actions against fatigue of critical ship details M Soliman, DM Frangopol, A Mondoro Structural Safety 60, 91-101, 2016 | 101 | 2016 |
| Optimization of life-cycle maintenance of deteriorating bridges with respect to expected annual system failure rate and expected cumulative cost G Barone, DM Frangopol, M Soliman Journal of Structural Engineering 140 (2), 04013043, 2014 | 89 | 2014 |
| Life-cycle cost evaluation of conventional and corrosion-resistant steel for bridges M Soliman, DM Frangopol Journal of Bridge Engineering 20 (1), 06014005, 2015 | 88 | 2015 |
| Probabilistic optimum inspection planning of steel bridges with multiple fatigue sensitive details M Soliman, DM Frangopol, S Kim Engineering Structures 49, 996-1006, 2013 | 77 | 2013 |
| Bridge stress calculation based on the dynamic response of coupled train–bridge system H Li, H Xia, M Soliman, DM Frangopol Engineering Structures 99, 334-345, 2015 | 69 | 2015 |
| Estimation of cable tension force independent of complex boundary conditions B Yan, J Yu, M Soliman Journal of engineering mechanics 141 (1), 06014015, 2015 | 66 | 2015 |
| Probabilistic fatigue life estimation of steel bridges by using a bilinear S-N approach K Kwon, DM Frangopol, M Soliman Journal of Bridge Engineering 17 (1), 58-70, 2012 | 66 | 2012 |
| Life-cycle management of fatigue-sensitive structures integrating inspection information SM Soliman, DM Frangopol Journal of Infrastructure Systems 20 (2), 04014001, 2014 | 62 | 2014 |
| Optimal risk-based management of coastal bridges vulnerable to hurricanes A Mondoro, DM Frangopol, M Soliman Journal of Infrastructure Systems 23 (3), 04016046, 2017 | 58 | 2017 |
| Fatigue reliability and service life prediction of aluminum naval ship details based on monitoring data M Soliman, G Barone, DM Frangopol Structural Health Monitoring 14 (1), 3-19, 2015 | 54 | 2015 |
| Prediction of structural response of naval vessels based on available structural health monitoring data A Mondoro, M Soliman, DM Frangopol Ocean Engineering 125, 295-307, 2016 | 51 | 2016 |
| Integrated framework for quantifying the effect of climate change on the risk of bridge failure due to floods and flood-induced scour O Khandel, M Soliman Journal of bridge engineering 24 (9), 04019090, 2019 | 47 | 2019 |
| Fatigue Assessment and Service Life Prediction of Existing Steel Bridges by Integrating SHM into a Probabilistic Bilinear Approach M Soliman, DM Frangopol, K Kown Journal of Structural Engineering 139 (10), 1728-1740, 2013 | 47 | 2013 |
| Fatigue reliability assessment of railway bridges based on probabilistic dynamic analysis of a coupled train-bridge system H Li, DM Frangopol, M Soliman, H Xia Journal of Structural Engineering 142 (3), 04015158, 2016 | 46 | 2016 |
| Performance assessment of prestressed concrete bridge girders using fiber optic sensors and artificial neural networks O Khandel, M Soliman, RW Floyd, CD Murray Structure and Infrastructure Engineering 17 (5), 605-619, 2021 | 40 | 2021 |
| Integrated framework for assessment of time-variant flood fragility of bridges using deep learning neural networks O Khandel, M Soliman Journal of Infrastructure Systems 27 (1), 04020045, 2021 | 36 | 2021 |
| Geometry control simulation for long-span steel cable-stayed bridges based on geometrically nonlinear analysis J Wu, DM Frangopol, M Soliman Engineering Structures 90, 71-82, 2015 | 36 | 2015 |
Dan M. FrangopolProfessor of Structural Engineering, Lehigh UniversityVerified email at lehigh.edu
