“The goal of the Geohazard Research Program is to address complex seismic hazard issues which are essential components for any seismic risk and reliability assessment of our infrastructure.”
Read MoreDeveloping a risk assessment methodology that quantifies the earthquake ground motion, fault displacement hazard, landslide and liquefaction risks for California gas infrastructure (i.e. gas pipeline and natural gas storage);
Create a tool that utilizes the risk assessment methodology to help identify, prioritize, and mitigate earthquake both before and after a seismic event is detected.
There are four market segments for the risk assessment tool: IOUs, oil and gas transmission pipeline companies, academia, and pipeline risk consultants.
Additional benefits:
Economic: The risk assessment tool will reduce the need for costly site-specific risk assessments and help decision makers determine the most cost-effective means to achieve acceptable seismic performance.
Increased safety: Improved understanding of seismic threats to pipeline and storage systems and effective mitigation measures will help decision makers reduce the probability of failure.
Environmental: Increased reliability of pipelines and storage systems resulting from the use of the tool developed in this program will decrease the likelihood of excessive greenhouse gas emissions.
Energy security and public health benefits: The risk management practices facilitated by the tool developed in this project lead to a reduction in pipeline failure and a decrease in the potential for unacceptable interruptions in gas necessary for homes, communities, power generation, and critical facility customers (e.g., hospitals, airports, emergency shelters).
The FDHI project is a multi-year, community-based research project coordinated by the University of California initiated in 2018. The objectives of this project are to compile a modern database of coseismic fault displacements, develop models to predict the distribution and amplitude of potential primary and distributed displacements due to surface fault rupture, and develop engineering application guidelines for fault displacement hazard.
Read MoreThis 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.
Read MoreThrough 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.
Read MorePublic 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.
Read MoreThe 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.
Read MoreIt is important for healthcare providers and caregivers to have a precise and detailed understanding of a patient’s functional, mental and psychological well-being, particularly among patients with serious illnesses or high risk comorbidities. A thorough patient assessment based on continuous data collected over longer periods of time will allow for improved risk stratification, treatment selection, and monitoring for adverse events.
Read MoreAs part of a collaboration between UCLA and USC under the NIH's PRISMS community, this collaborative effort focuses on the creation of an innovative end-to-end infrastructure for pediatric sensor-based health monitoring.
Read MoreThe 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).
Read MoreThe 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
Read MoreThe 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.
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