Ali Saleh

University of Granada | UGR · Department of Structural Mechanics and Hydraulic Engineering

The maintenance strategy in railway transportation is crucial in ensuring safety, availability, and reducing operating costs. However, finding the optimal maintenance plan that takes into account the complex relationships between railway assets can be a challenging task. To address this challenge, this study introduces an Intelligent Petri Net (iPN...

Railways are important ways of transportation that are used massively. This makes it important to create an optimized asset management model that helps in reducing its Operation and Maintenance (O&M) costs while maintaining the quality of service and safety. Reinforcement learning (RL) is an adequate model for optimizing decisions based on unrelate...

Monitoring a structure’s health is important to avoid catastrophic failures and reduce operating costs by applying the Condition Based Maintenance (CBM) strategy. CBM can reduce the inspections, but cannot replace them because of the probability of failure or error of CBM. Reinforcement learning (RL) is an artificial intelligence technique for opti...

With the emerging monitoring technologies, condition-based maintenance is nowadays a reality for the wind energy industry. This is important to avoid unnecessary maintenance actions, which increase the operation and maintenance costs, along with the costs associated with downtime. However, condition-based maintenance requires a policy to transform...

Having an optimal decision support system (DSS) is beneficial for decreasing the lifecycle costs and increasing the lifespan of any system. Reinforcement learning can serve as a good tool for evaluating the benefit of taking decisions and controlling actions to reach an optimal policy. Besides, Petri nets are adequate for modeling complex systems w...

Carbon fiber reinforced polymer composites present excellent mechanical properties, however, their behaviour under fatigue and the interaction between the different failure modes is not yet well understood. This uncertainty, or lack of knowledge, is the reason why they are still not extensively used in the aerospace industry, where safety is critic...

Optimal asset management strategies for wind turbine blades help to reduce their operation and maintenance costs, and ensure their reliability and safety. Structural health monitoring (SHM) can determine the health state of wind turbine blades through implementing damage identification strategies. The main load-bearing structure spar of the wind tu...

A modified k-ω turbulence model is developed for neutral atmospheric boundary layer flows by introducing additional source terms to the equations of the standard model to remove its inconsistency with the inlet conditions. Rough wall functions based on aerodynamic roughness are adopted to overcome the limitations of the standard wall functions that...

The interest in the use of composite materials in thin-walled structures has grown over the last decades due to their well-known superior mechanical performance and reduced weight when compared with traditional materials. Notwithstanding, composite structures are susceptible to damage during manufacturing and to fatigue degradation during service,...

The accurate modeling of engineering systems and processes using Petri nets often results in complex graph representations that are computationally intensive, limiting the potential of this modeling tool in real life applications. This paper presents a methodology to properly define the optimal structure and properties of a reduced Petri net that m...

We present a reduced order model for three dimensional unsteady pressure-driven flows in micro-channels of variable cross-section. This fast and accurate model is valid for long channels, but allows for large variations in the channel's cross-section along the axis. It is based on an asymptotic expansion of the governing equations in the aspect rat...