Owners are increasingly interested in the risk and resilience of their physical assets. This is particularly true for sensitive sites where even small disruptions have severe consequences, such as data centers. We will present a system and methodology for assessing portfolios of sites against multiple hazards to determine risk exposure. This process provides the owner with a consistent snapshot of risk across their portfolio and can also be used for asset management decisions and resilient design guidance for new sites. The process includes both qualitative and quantitative (probabilistic) elements.
Several case studies will be discussed, illustrating the methodology and how it is tailored for various situations. They will include examples of institutional and large corporate clients. We will discuss the final product of the assessments which may be in traditional or web-enabled formats.
The foundation for the probabilistic risk determination is REDi, a suite of tools developed based on volumes of academic and public data. These tools support the calculation of key risk metrics, such as casualties, financial losses, and downtime. Originally developed for seismic applications, the tools are being extended to multiple hazards including flood, wind and wildfires. Individual hazard specific guides allow the practitioner to drill down on particular sites to provide both quantitative risk information and guidance on resilience based design.
The latest development in the series of guides is focused on resilience-based wind design. We will give an overview of the design philosophy and data behind the guide as well as its implementation. The suite of guides is being progressively published for use by the wider engineering community to improve resilience on single and portfolio projects.