Introducing OpenPRA: A Web-Based Framework for Collaborative Probabilistic Risk Assessment
Arjun Earthperson, Egemen M. Aras, Asmaa Saied Farag, Mihai A. Diaconeasa · 2023
Abstract Probabilistic Risk Assessment (PRA) tools are crucial in the nuclear, aerospace, maritime, and chemical industries. This paper presents OpenPRA, an innovative, open-source, web-based platform designed to address the limitations of current Probabilistic Risk Assessment (PRA) tools. OpenPRA offers a collaborative and flexible environment that supports a wide array of risk models and quantification engines, thereby enhancing the adaptability and efficiency of risk assessment processes. The platform offers unique features including support for various risk models such as event trees, fault trees, Markov chains, Bayesian networks, and error propagation models. It also allows users to choose from a variety of existing quantification engines, enabling them to tailor their risk assessment process to their specific needs. The paper discusses the design, development, and potential of OpenPRA to transform the field of PRA. It also delves into the platform’s technical architecture, technology stack, and the OpenPRA Model Exchange Format. The paper concludes by outlining the current development status of OpenPRA and laying out the foundation for future work.