Browsing ODA Open Digital Archive by Author "Ahmed, Awais"

Now showing items 1-5 of 5

    • Non-linear finite element modeling of damages in bridge piers subjected to lateral monotonic loading 

      Ahmad, Aizaz; Ahmed, Awais; Iqbal, Mudassir; Muhammad Ali, Syed; Khan, Ghufranullah; M. Eldin, Syed; M. Yosri, Ahmed (Peer reviewed; Journal article, 2023)
      Bridges are among the most vulnerable structures to earthquake damage. Most bridges are seismically inadequate due to outdated bridge design codes and poor construction methods in developing countries. Although expensive, ...

    • Numerical aspects of phase field models for low-temperature fracture in asphalt mixtures 

      Ahmed, Awais; Iqbal, Javed; Eldin, Sayed M.; Khan, Rawid; Iqbal, Mudassir (Peer reviewed; Journal article, 2023)
      Unlike the cohesive interface element model, the phase field model (PFM) is a newly developed computational model which provides a unified approach to predicting crack nucleation, propagation, coalescence and branching ...

    • On fracture criteria in phase field model for fracture in asphalt concrete 

      Khan, Ghufranullah; Ahmed, Awais; Hassan Amjad, Hassan; Ahmad, Aizaz; Nawaz, R.; Iqbal, Mudassir (Peer reviewed; Journal article, 2024)
      Extensive research has explored cracking in asphalt mixtures under pure mode-I conditions; however, heavy traffic loads often lead to crack formation under mixed-mode fracture conditions in asphalt pavements. This paper ...

    • Phase field model for mixed mode fracture in concrete 

      Ghufranullah khan, Ghufranullah; Ahmed, Awais; Liu, Yue; Tafsirojjaman, T.; Ahmad, Aizaz; Iqbal, Mudassir (Peer reviewed; Journal article, 2023)
      Concrete is a quasi-brittle material and generally fails in mixed mode I-II fracture. The fracture energy release in mode I and mode II during crack propagation is usually different. However, the tensile test fracture ...

    • Predicting concrete compressive strength using Machine Learning Algorithms 

      Hussein, Ali Kassim; Hussein, Nuur Ali (Master thesis, 2024)
      This thesis explores the application of Artificial Neural Networks (ANNs) for predicting the compressive strength of concrete, a critical parameter in construction engineering. Given the complexity of concrete's composition ...