This year’s effort will concentrate on completing a COTS-based electronic parts and a package/CCA level reliability simulation using physics-based modeling in collaboration with UCLA, who is uniquely qualified in combining physics-based probabilistic failure models and relevant qualitative and quantitative information through Bayesian Network (BN) modeling and inference framework to estimate the distribution of time-to-failure (TTF) of COTS parts.

Through a collaborative research and development between Chevron and The Center for Reliability Engineering - B. John Garrick Institute for the Risk Sciences at UCLA, will develop a human reliability analysis ("HRA") method specifically for the petroleum industry applications, reflecting the peculiarities of this industry regarding failure modes, performance influencing factors, operator training, and operating procedures. The resulting methodology will help Chevron in making risk-informed decisions to improve safety and prevent accidents in a cost effective and robust fashion.

Public and private sector interest and investment in advanced nuclear reactor technologies is growing as utilities and other energy suppliers seek options for scalable, dispatchable, concentrated, and non- emitting energy sources. Advanced reactors employ a combination of new coolants, fuels, materials, and power conversion technologies that, if commercialized, offer substantial improvements over current generation technology in terms of safety, economics, performance and long-term energy security. Successful commercialization requires early engagement of the current advanced reactor developers with the licensing regulators, for an alignment of the requirements and expectations.

The overarching goal of the research proposed here is to create and implement a ground motion representation framework for performance-based design and assessment of standard ordinary bridges in California. These guidelines will draw from current body of knowledge in ground motion selection and scaling and ground motion simulation that was developed in the past few years through NIST, NSF, and PEER funded research.

The objective of the project is to develop and demonstrate an inference methodology as part of broader objectives of a proposed project to be led by University of Maryland (UMD) to develop a systems approach to pipeline integrity and health management submitted to the Petroleum Institute (PI) of Abu Dhabi, United Arab Emirate (UAE).

The main objective of the research is to develop needed features to make the ADS-IDAC dynamic PRA platform a more practical and realistic analysis tool for specific applications, primarily event assessments, and as a supplementary tool to analyze highly dynamic and complex accident scenarios in support of conventional PRAs. The

The goal of the project is to develop a probabilistic prediction model of time-to-failure of cable jackets subject to radiation caused polymer degradation manifested as change in tensile strength and resistivity.