(50c) Evaluating Brittle Fracture and Shock Chilling Potentials Using Automated Data Analytics Frameworks

The abrupt opening of a Pressure Safety Valve (PSV) in process planets, can lead to an immediate and significant pressure drop, triggering a sharp temperature decline in the discharged fluid. As the result, carbon steel components such as piping may be at risk for brittle fracture and shock chilling, which can compromise the integrity and safety of the entire system. This potential for failure underscores the necessity for conducting brittleness assessments to avert catastrophic outcomes.

By leveraging Fitness-for-Service (FFS) data analytics and automation tools, we can enhance the evaluation process for identifying the circumstances that lead to brittle fracture, pinpointing key vulnerabilities more efficiently. Automated data collection and analysis can facilitate real-time monitoring of process parameters, allowing for proactive interventions before risk thresholds are breached. Implementing these automated assessments allows us to ascertain the true risk of brittle fracture and shock chilling under varying process conditions, aiding in the development of effective mitigation strategies.

To effectively manage the data generated from these assessments and streamline the decision-making process, we propose integrating advanced data management and automation systems. A framework is being designed by integrating it with automated data management systems, which we can streamline the assessment process and improve the accuracy of our evaluations.

The current work will emphasize the significance of brittle fracture assessments using industry-focused examples, showcasing how integrated data management and automation not only improve the safety and operational efficiency of various industrial applications but also ensure a systematic approach to risk assessment and mitigation.