Abstract: Probabilistic and nonlinear models have been used to accurately model various phenomena in asset management systems (AMS). With a commonly adopted framework using Monte Carlo simulation and heuristic algorithms, AMS proposed ...

Abstract: Deteriorating and at-risk infrastructure assets should be maintained at acceptable conditions by asset management systems (AMSs) to ensure the safety and welfare of communities. Project-level AMSs have been proposed to ...

Abstract: Reinforcement learning (RL) has recently been adopted by infrastructure asset management (IAM) researchers for adding flexibility regarding uncertainties in preventive actions decision-making. However, this relatively ...

Abstract: The uninterrupted performance of the infrastructure systems of a community is essential to its welfare and prosperity. Infrastructure assets are continuously subject to degradation, which can compromise their performance ...

Abstract: The insufficiency of continued nonpharmaceutical interventions (NPIs) and ongoing vaccination programs continues to pose challenges in recovering from the COVID-19 pandemic. Before herd immunity, controlling at-risk and ...