
Dr.-Ing. Feras Alkam
Wissenschaftlicher Mitarbeiter
Marienstr. 15, Raum 012
Tel: +49 (0) 3643 / 58 45 12
E-Mail: feras.alkam[at]uni-weimar.de
Academic CV
2015 - 2021 | Ph.D. Researcher at the Institute of Structural Mechanics, Bauhaus-Universität Weimar, Prof. Tom Lahmer. |
2013 - 2014 | Master of science at Faculty of civil engineering, Damascus University, Damascus (Syria). |
2000 - 2001 | Post-graduate diploma at Faculty of civil engineering, Damascus University, Damascus (Syria). |
1995 - 1999 | Bachelor of science at Faculty of civil engineering, Damascus University, Damascus (Syria). |
Lecture
- Signal Processing and Interpretation of Experiments.
- Stochastic Simulation Techniques and Structural Reliability.
- "Solving ill-posed inverse problems using Bayesian inference", Erasmus+ Strategische Partnerschaften - PhD Course: "Applied and Computational Mathematics in Engineering Application" 2018 - University of Aveiro, Portugal.
- Project: Model updating - Theory, Algorithm & Insights, Summer school "Forecast Engineering” 2017 – Bauhaus University Weimar, 99423 Weimar, Germany.
Supervised Master Thesis
- Efficient use of monitoring data using the example of facade-integrated photovoltaic systems, Shahrzad Vazifeh Mostaan, 2022.
- Ermittlung von Temperatureinwirkungen auf Brücken und ausgewählte resultierende Beanspruchungen, Mahmoud Almohammad Ali, 2020
- Moment Free Sensitivity Analysis of Engineering Models, Syed Safdar Abbas Zaidi, 2019
- Risk Assessment in Technical and Financial Systems, Ni Michelle Ying, 2019
- The Hilbert-Transform in the Context of Structural Health Monitoring, Quasim, Muhammad Ehtisham, 2019
- Studying the Behavior of Pre-Stressed Concrete Pole Under Ambient Temperature, Fahim Zakir, 2019
- Signal Processing for SHM activities supported by ANNs, Saboor Karimi, 2019
- Investigation and Optimization of Risk Allocation in Construction Projects, Mohammad Anwar, 2019
- Probabilistic Reliability Analysis of Wind Turbine, Zafar Usman, 2019. https://doi.org/10.25643/bauhaus-universitaet.3977
- Dynamic Analysis of Poles In a Continuous Catenary System, Chrisitan Chokolat Muhigwa, 2019
- Model Selection and Sensitivity Analysis for Masonry Infilled RC Frames under Lateral Cyclic Displacements, Amol Rupakheti, 2018
- Signal Analysis in the Context of Structural Health Monitoring of Dams, Hamidullah Attaulah, 2017
- Simulation of Random Fields by the Turning Band Method, Everistus Oguadimma, 2017
- Signal Transforms for dynamic data from dams, Hamidullah Attaullah, 2017
- Implementing Flexibility in Engineering Designs for Foldable Hinged-Rod Roof Systems, Sohaib Anwar, 2016.
Research Interests
- Structural Health Monitoring
- Bayesian inference
- Inverse Problems
- Stochastic Optimization
- Experimental and Numerical modeling
- Bridges
- Concrete structures
Research Projects
- Entwicklung eines leistungsfähigen »Beton 2.0«
- Graduiertenkolleg GRK 1462 - Bewertung gekoppelter numerischer Partialmodelle im Konstruktiven Ingenieurbau
Publications
2021
- F. Alkam; T. Lahmer, A robust method of the status monitoring of catenary poles installed along high-speed electrified train tracks, Results in Engineering (2021) 100289. doi:10.1016/j.rineng.2021.100289.
- F. Alkam, Vibration-based Monitoring of Concrete Catenary Poles using Bayesian Inference, Ph.D. thesis. doi:10.13140/395RG.2.2.35446.52809.396. URLhttps://asw-verlage.de/katalog/vibration_based_monitoring_of_co-2363.html
- F. Alkam; T. Lahmer, Eigenfrequency-Based Bayesian Approach for Damage Identification in Catenary Poles, Infrastructures 6 (4) (2021). doi:10.3390/infrastructures6040057.
2020
- F. Alkam; I. Pereira; T. Lahmer, Qualitatively-improved identified parameters of prestressed concrete catenary poles using sensitivity-based Bayesian approach, Results in Engineering 6 (2020) 100104. doi:10.1016/j.rineng.2020.100104.
2019
- F. Alkam; T. Lahmer, Quantifying the uncertainty of identification parameters of prestressed concrete poles using the experimental measurements and different optimization methods, Engineering and Applied Sciences 4 (4) (2019) 84. doi:10.11648/j.eas. 20190404.13.
2018
- F. Alkam; T. Lahmer, On the quality of identified parameters of prestressed concrete catenary poles in existence of uncertainty using experimental measurements and different optimization methods, in Proceedings of ISMA2018 & USD2018, KU Leuven, Belgium, 2018, pp. 3913–3923.
2017
- F. Alkam; T. Lahmer, Solving non-uniqueness issues in parameter identification problems for pre-stressed concrete poles by multiple Bayesian updating, in Proceedings of the 15th International Probabilistic Workshop & 10th Dresdner Probabilistic Workshop, TUDpress, 2017, pp. 303–315.
- L. Abrahamczyk; F. Alkam; A. H. Hisham; L. Göbel; Z. Jaouadi; M. Kraus; I. Kavrakov; D. Legatiuk; F. Mucha; S. Rau, GRK 1462 - Reference Project “poles”: monitoring system, lab experiments and long-term measurements, in: GRK 1462 International Workshop 2017. 26th - 28th April, Weimar, Germany, 2017, ISBN:978-3-95773-239-2.
2015
- M. Batikha; F. Alkam, The Effect of Mechanical Properties of Masonry on the behavior of FRP-strengthened Masonry-infilled RC Frame under Cyclic Load, Composite Structures 134 (2015) 513–522. https://doi.org/10.1016/j.compstruct.2015.08.105.
Proceedings and Talks
- F. Alkam; T. Lahmer, Effizienz bei der Verwendung von DFOS zur Schadenserkennung in Betonbauwerken, Towards Smart Structures, Bauhaus-Universität Weimar, Germany, 2022.
- F. Alkam; T. Lahmer, Eigenfrequency-based Bayesian Approach for Damage Identification in Catenary Poles, Colloquium 618 - Uncertainty Quantification In Computational Mechanics, Luxemburg, 2021
- F. Alkam; T. Lahmer, Bayesian Inference for solving Inverse Problems, PhD Course "Applied and Computational Mathematics in Engineering Application", Aveiro, Portugal, 2018
- F. Alkam; T. Lahmer, Solving Non-Uniqueness Issues in Parameter Identification problems for Pre-stressed Concrete Poles by Multiple Bayesian Updating, SAMM 2017, Braunschweig, Germany, 2017.
- F. Alkam; L. Göbel; A. H. Hisham; S. Rau., On the Quality of Material Parameters Obtained by Different Identification Approaches, Graduiertenkolleg 1462, BauhausUniversität Weimar, Germany, 2017.