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INSTRUCTOR: 

• Jennifer Bridge, Ph.D
• Milad Roohi, Ph.D

This techsession will only award PDHs for completion.

Purpose and Background

Advances and Future Needs for Collaborative Networks for Natural Hazards and Disasters Research (30 minutes)

This presentation will discuss the 2022 Natural Hazards Research Summit, specifically community visioning. The objective of the summit was to discuss and elucidate the research needs for the next 10 years, foster connections between the broader natural hazard’s community, and disseminate information on the resources and capabilities that NHERI offers. The summit gathered data on research priorities, societal dimensions of disaster (needs), the role of existing research infrastructure and shared research infrastructure needs.

This presentation will also discuss community testbeds, the needs, challenges, and current efforts. The research benefits of community testbeds include providing a realistic basis for development of simulation models and solutions, providing a realistic venue for testing, and translating solutions and providing an observation of slowly evolving hazards and extensive recovery timeline. Lastly there will be a discussion of the NSF-funded shared-use observatories, specifically NEON (National Ecological Observation Network) and LTER (Long-term Ecological Research Program). Long-term, multi-agency, multi-disciplinary funding mechanisms are needed to support the establishment of shared-use community testbed infrastructure.

Minimal Sensing and Data Fusion for Structural Seismic Risk and Resilience Modeling (30 minutes)

The exposure of structural systems to natural hazards such as earthquakes can cause severe direct and indirect social and economic consequences. In particular, the technical know-how regarding emergent property management and planning by adopting advanced technologies such as structural health monitoring (SHM) systems can assist structures with better responding and adapting to a wide range of disruptive events. This requires understanding how the SHM data can be incorporated into seismic risk and resilience modeling methodologies to accurately assess the performance of structures and subsequently quantify metrics for informed decision-making in various resolutions ranging from building- to regional levels.

This presentation investigates the value of minimal building instrumentation in measuring, analyzing, and estimating system- and element-level seismic performance parameters, which can 1) greatly increase the accuracy of loss and functionality assessment results obtained based on existing codes and guidelines (e.g., FEMA P-58 loss assessment methodology) and 2) prevent false replacement alarms and post-event re-occupancy evaluation of structures. In particular, a methodology is developed for quantifying the value of SHM data and information for seismic risk and resilience assessment of instrumented buildings. The methodology begins with minimal sensing to monitor the dynamic response of instrumented buildings in a few locations and uses the monitoring data for reconstructing the element-level seismic demand and damage state of structural and nonstructural components using a nonlinear model-data fusion approach. The estimated seismic demand and damage (including inter-story drift and demand-to-capacity ratios) are subsequently used to quantify the seismic loss by incorporating fragility and performance group functions.

Since implementing a monitoring system involves additional deployment and maintenance costs, Bayesian decision analysis is implemented to quantify the cost-benefit of implementing monitoring systems for seismic risk and resilience assessment. The proposed methodology is illustrated using seismic response measurement data from real-world instrumented buildings.

Learning outcomes and session benefits:

Upon completion of this course, you will be able to:

• Discuss the 2022 Natural Hazards Research Summit and the significance of community test-beds for natural hazard research.
• Explain how SHM systems, leveraging advanced technologies, contribute to emergent property management and planning for structures exposed to natural hazards, with a focus on earthquakes.
• Discuss how to incorporate SHM data into seismic risk and resilience modeling methodologies.
• Describe the use of minimal building instrumentation to significantly increase the accuracy of loss and functionality assessments based on existing codes and guidelines.
• Summarize the methodology for quantifying the value of SHM data.

Assessment of Learning Outcomes

Learning outcomes are assessed by responding to the post-session survey. If the course is taken On-Demand, there will also be a 10-question multiple choice post-test.

Who Should Attend?

• Structural Engineers
• Environmental Engineers
• Risk Specialists
• Building Code Compliance Experts

How to Earn your PDHs

This course is worth 1 PDH. To receive your certificate of completion, you will need to attend the live session and/or watch the recording(s) and complete the post-session survey. If the course is taken OnDemand, there will also be a 10-question multiple choice post-test.