Dr. Ahmed M. Abouelmaty
civil engineering, University of Porto, Porto, Portugal
+1
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Academic Career Length
5Years (2022-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications20 January 2023 in Earthquake Engineering and Engineering Vibration
Journal Article
26 September 2024 in Computers and Geotechnics
Journal Article
Ahmed M. Abouelmaty
Aires ColaçoAFAhmed A. Fares
Ahmed A. Fares
Ana RamosPCPedro Alves Costa
Pedro Alves Costa
Journal Article
Aires Colaço
Pedro Alves CostaCPCecília Parente
Cecília ParenteAhmed M. AbouelmatyThe present paper addresses the problem of generating and propagating vibrations induced by low-impact loading on a driven pile. In this context, an experimental test site was selected and characterized, where ground-borne vibrations induced by the application of a low dynamic loading on the pile head were measured using accelerometers placed at the ground surface. At the same time, a new numerical approach, based on a coupled FEM-PML (Finite Element Method-Perfectly Matched Layer) formulation, to model the pile–ground system was presented. A very satisfactory agreement was observed between the experimental data collected in these experiments and the prediction performed by the numerical model. The experimental data can be also used by other authors for the experimental validation of their or other prediction models.
Journal Article
Driven piles are a common geotechnical solution for foundations in weak soil profiles. However, hammer impacts during the driving process can generate excessive levels of ground vibration, which, in extreme cases, can affect nearby structures and people. Due to the complexity of wave propagation in soils, the accurate prediction of these vibrations typically requires advanced numerical modeling approaches. To address this challenge, a surrogate modeling framework was developed by integrating Artificial Neural Networks (ANNs) and Extreme Gradient Boosting (XGBoost), trained on a synthetic dataset generated from an experimentally validated numerical model. The proposed surrogate model enables the rapid prediction of ground vibration characteristics, including peak particle velocity (PPV) and frequency content, across a broad range of soil, pile, and hammer conditions. In addition to its predictive capabilities, the tool allows users to design a specific mitigation measure (open trench) and compare the vibration levels with international standards. Experimental validation confirmed the model’s ability to replicate field measurements with acceptable accuracy. The expedited prediction tool is available as supplemental data and can be used by other researchers and technicians for quick and accurate ground vibration predictions.
3 October 2024 in Journal of Vibration Engineering & Technologies
Journal Article
Ahmed M. AbouelmatyMEMohamed I. S. Elmasry
Mohamed I. S. Elmasry
TATareq M. Abd-El-Aziz
Tareq M. Abd-El-Aziz
Journal Article
Aires ColaçoPedro Alves Costa
Mohammed HusseinAhmed M. AbouelmatyThe continued development and modernisation of railway networks, together with increasingly demanding expectations regarding human comfort, require careful assessment and mitigation of the effects of railway infrastructure on nearby buildings, their occupants, and vibration-sensitive equipment. Using a recently completed railway line in Portugal as a case study, this paper provides insights into predicting railway-induced ground-borne noise and vibration (GBN&V) during the environmental impact assessment stage. The initial predictions are compared with experimental measurements obtained during the exploration of the railway infrastructure, revealing a good match between predicted and observed ground-borne vibration levels. However, the direct application of the empirical FTA vibration-to-noise conversion factors underestimates the measured ground-borne noise levels. This discrepancy highlights the importance of the building-specific vibro-acoustic response and indicates that simplified conversion factors should be applied with caution.
About Me
Ahmed Abouelmaty is a researcher fellowship at the CONSTRUCT Lab, since 2020, at the faculty of engineering at the University of Porto, Porto, Portugal, and is a permanent teaching assistant in the Arab academy for science and technology and maritime transport (ABET-accredited organization, USA) in Egypt. Abouelmty obtained his BSc. and MSc. respectively, in 2012 and 2015, with distinguished honors from the AASTMT in Egypt (Alexandria campus). As well, he is a Ph.D. candidate at the University of Porto Faculty of Engineering (FEUP). Between 2020 and July 2022, Ahmed worked as a researcher fellowship in the FCT (the Portuguese national funding agency for science, research, and technology) project VIPIB under grant number PTDC/ECI-CON/29634/2017. In August 2022, Ahmed was ranked by FCT in the second position among 118 international comparators in the " 2022 Call for Ph.D. Studentships Regular line in scientific and academic institutions ", and he obtained a fund for three years. His scientific work developed resulted in the publication of two papers at international conferences, the oral presentation and extended abstract in the DEC21 congress, one published international journal, and two journal papers submitted in a peer-review international journal. He is skilled in numerical modeling, simulation, and finite element software, free moving between programming languages such as Matlab, Python, and Latex. Advanced data analysis skills.