
MSc Faizullah Jan
Employment
- PhD Student at Gdańsk University of Technology
- 2022 - 2026 PhD Student at Civil Engineering and Transport
Social media
Contact
- faizullah.jan@pg.edu.pl
Publication showcase
-
Data-driven Models for Predicting Compressive Strength of 3D-printed Fiber-Reinforced Concrete using Interpretable Machine Learning Algorithms
3D printing technology is growing swiftly in the construction sector due to its numerous benefits, such as intricate designs, quicker construction, waste reduction, environmental friendliness, cost savings, and enhanced safety. Nevertheless, optimizing the concrete mix for 3D printing is a challenging task due to the numerous factors involved, requiring extensive experimentation. Therefore, this study used three machine learning...
-
Impact of thermal and humidity conditions on structural epoxy adhesives during medium-term exposure
An experimental program was undertaken to evaluate the performance characteristics, strengths and limitations of two commercially available two-component structural epoxy resin adhesives under varying thermal and humidity conditions, focusing on their performance in scenarios relevant to engineering applications. The following adhesives were selected for investigation, 3M Scotch DP490 and DP125 Gray. In practice, DP490, a high-rigidity...
-
A random field-based simulational identification of possible levels of material imperfections of adhesive-bonded joints
Recently, structural adhesives have become significant in the shaping of structural elements, especially in thin-walled structures, where they replace or supplement traditional connection methods. However, adhesive-bonded joints are highly susceptible to internal structural imperfections due to their application technique and the nature of the adhesive. These material inconsistencies impact the strength parameters and the mechanical...
seen 759 times