RESEARCH TOPICS

Our primary research focus is the development of advanced computational models for diverse composite materials, including unidirectional composites (UD), short fiber-reinforced polymers (SFRPs), and functionally graded materials (FGMs). These models are designed to capture both macro- and micro-mechanical behavior under mechanical and thermo-mechanical loading conditions, accommodating even small finite strains. Through a multi-physics approach, we effectively simulate complex phenomena such as plasticity, fracture, and damage evolution, enhancing predictive accuracy and material performance insights. 

Our research bridges theoretical modeling and practical material characterization, employing advanced, multi-scale techniques to analyze composite materials in-depth. This comprehensive approach provides a holistic understanding of material behavior across scales, enabling us to develop highly accurate and robust models. By integrating insights from practical testing and characterization, we advance the reliability and application of composite materials in engineering and industry. 

Our research integrates advanced artificial intelligence methodologies, focusing on Physically-Informed Neural Networks (PINNs) to enhance predictive modeling. By embedding fundamental physical laws directly into neural networks, we are developing innovative constitutive models that provide highly accurate predictions. This approach not only improves computational efficiency but also allows us to tackle complex boundary value problems with precision and speed, setting a new benchmark in solving intricate engineering challenges beyond traditional methods. 

In this area, we have pioneered a novel tempered clinching process for joining metals and composites, crucial for industries prioritizing weight reduction and enhanced strength. Through Finite Element Method (FEM)-based designs, we simulate and virtually assess the mechanical behavior of these hybrid joints across diverse loading conditions. This simulation-driven approach enables us to optimize joint designs effectively, minimizing the need for extensive physical testing while ensuring performance and durability in real-world applications.

Crash-worthiness and energy absorption are essential for materials used in high-stress environments, particularly in automotive and aerospace applications. Our research investigates these critical factors across a range of materials, including composites, 3D-printed plastics, and natural composites. By evaluating material responses to impact, we aim to enhance safety and performance in demanding applications. 

Understanding the failure mechanisms of materials and assessing their durability is a key aspect of my research. I'm committed to developing methods that allow us to predict material degradation and estimate remaining useful life, which significantly contributes to the design and construction of safe and reliable structures.