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MSc Faizullah Jan
Employment
- PhD Student at Gdańsk University of Technology
- 2022 - 2026 PhD Student at Civil Engineering and Transport
Publications
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total: 6
Catalog Publications
Year 2025
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A random field-based simulational identification of possible levels of material imperfections of adhesive-bonded joints
PublicationRecently, 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...
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Impact of thermal and humidity conditions on structural epoxy adhesives during medium-term exposure
PublicationAn 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...
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Predicting creep failure life in adhesive-bonded single-lap joints using machine learning
PublicationAccurately predicting the creep failure life of adhesive joints, particularly single-lap adhesive joints (SLAJs), remains still a significant challenge, requiring substantial time and resources and the ability to predict the duration of creep failure in SLAJs is critical to ensuring structural integrity and reducing the failure of creep-prone adhesive joints. In this study, machine learning (ML) was used to identify the critical...
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Tensile behavior evaluation of two-stage concrete using an innovative model optimization approach
PublicationTwo-stage concrete (TSC) is a sustainable mate- rial produced by incorporating coarse aggregates into formwork and filling the voids with a specially formulated grout mix. The significance of this study is to improve the predictive accuracy of TSC’s tensile strength, which is essential for optimizing its use in construction applications. To achieve this objective, novel and reliable predictive models were developed using advanced...
Year 2024
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Data-driven Models for Predicting Compressive Strength of 3D-printed Fiber-Reinforced Concrete using Interpretable Machine Learning Algorithms
Publication3D 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...
Year 2023
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The Idea of Using Adhesive Bonds in Shaping of Cold-formed Thin-walled Beam-columns
PublicationThe chapter concerns the idea of using adhesive bonds in the shaping of cold-formed thin-walled beam-columns. The idea of adhesive-bonded connections is not new but is unlikely to have been used in the design and shaping of thin-walled beam-columns in civil engineering up to date. Metal bar structures, including (due to economic reasons) thin-walled structures, are the most common and effective means to build engineering superstructures/loadbearing...
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