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Engineering modeling for assessing and optimizing seismic resilience

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Manage episode 451027816 series 1399341
Content provided by USGS, Menlo Park (Scott Haefner) and U.S. Geological Survey. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by USGS, Menlo Park (Scott Haefner) and U.S. Geological Survey or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Omar Issa, ResiQuant (Co-Founder)/Stanford University

A study by FEMA suggests that 20-40% modern code-conforming buildings would be unfit for re-occupancy following a major earthquake (taking months or years to repair) and 15-20% would be rendered irreparable. The increasing human and economic exposure in seismically active regions emphasize the urgent need to bridge the gap between national seismic design provisions (which do not consider time to recovery) and community resilience goals.

Recovery-based design has emerged as a new paradigm to address this gap by explicitly designing buildings to regain their basic intended functions within an acceptable time following an earthquake.

This shift is driven by the recognition that minimizing downtime is critical for supporting community resilience and reducing the socioeconomic impacts of earthquakes. This seminar presents engineering modeling frameworks and methods to support scalable assessment and optimization of recovery-based design, including:

1. Procedures for selection and evaluation of recovery-based performance objectives and study the efficacy of user-defined checking procedures.

2. A framework to rapidly optimize recovery-based design strategies based on user-defined performance objectives.

3. Building technology to support utilization of these approaches across geographies and industrial verticals.

Together, these contributions provide the technical underpinnings and industry-facing data requirements to perform broad, national-scale benefit-cost analysis (BCA) studies that can accelerate decision-making and engineering intuition as resilient design progresses in the coming years.

  continue reading

20 episodes

Artwork
iconShare
 
Manage episode 451027816 series 1399341
Content provided by USGS, Menlo Park (Scott Haefner) and U.S. Geological Survey. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by USGS, Menlo Park (Scott Haefner) and U.S. Geological Survey or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Omar Issa, ResiQuant (Co-Founder)/Stanford University

A study by FEMA suggests that 20-40% modern code-conforming buildings would be unfit for re-occupancy following a major earthquake (taking months or years to repair) and 15-20% would be rendered irreparable. The increasing human and economic exposure in seismically active regions emphasize the urgent need to bridge the gap between national seismic design provisions (which do not consider time to recovery) and community resilience goals.

Recovery-based design has emerged as a new paradigm to address this gap by explicitly designing buildings to regain their basic intended functions within an acceptable time following an earthquake.

This shift is driven by the recognition that minimizing downtime is critical for supporting community resilience and reducing the socioeconomic impacts of earthquakes. This seminar presents engineering modeling frameworks and methods to support scalable assessment and optimization of recovery-based design, including:

1. Procedures for selection and evaluation of recovery-based performance objectives and study the efficacy of user-defined checking procedures.

2. A framework to rapidly optimize recovery-based design strategies based on user-defined performance objectives.

3. Building technology to support utilization of these approaches across geographies and industrial verticals.

Together, these contributions provide the technical underpinnings and industry-facing data requirements to perform broad, national-scale benefit-cost analysis (BCA) studies that can accelerate decision-making and engineering intuition as resilient design progresses in the coming years.

  continue reading

20 episodes

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