🤙🏼Earthquake Engineering Unit 12 – Seismic Risk Assessment and Mitigation

Seismic risk assessment evaluates potential earthquake impacts on buildings, infrastructure, and populations. It combines hazard analysis, vulnerability assessment, and risk calculation to quantify potential losses and inform mitigation strategies. Mitigation aims to reduce seismic risk through structural retrofitting, building codes, and emergency preparedness. Key concepts include resilience, exposure, and probabilistic vs. deterministic approaches to hazard analysis. Case studies highlight real-world applications and lessons learned.

Key Concepts and Terminology

  • Seismic risk assessment evaluates potential consequences of earthquakes on buildings, infrastructure, and populations
  • Seismic hazard analysis estimates likelihood and intensity of ground shaking at a specific site based on seismicity, geology, and attenuation relationships
  • Vulnerability assessment determines susceptibility of structures and systems to damage from earthquake ground motion
  • Risk calculation methods combine seismic hazard and vulnerability data to quantify potential losses in terms of casualties, economic impacts, and downtime
  • Mitigation strategies aim to reduce seismic risk through structural retrofitting, building codes, land-use planning, and emergency preparedness
    • Structural retrofitting strengthens existing buildings to withstand earthquake forces (base isolation, shear walls)
    • Building codes establish minimum design and construction standards for new structures in seismic zones
  • Resilience refers to ability of a community to withstand, adapt to, and recover from earthquake impacts
  • Exposure represents value of assets (buildings, infrastructure, population) in an area that could be affected by an earthquake

Seismic Hazard Analysis

  • Probabilistic Seismic Hazard Analysis (PSHA) estimates probability of exceeding various ground motion levels at a site over a specified time period
    • PSHA considers multiple earthquake sources, magnitudes, and ground motion prediction equations
    • Results are expressed as hazard curves showing annual probability of exceedance vs. ground motion intensity
  • Deterministic Seismic Hazard Analysis (DSHA) evaluates worst-case scenario based on maximum credible earthquake from nearest fault
  • Ground motion prediction equations (GMPEs) estimate peak ground acceleration (PGA), peak ground velocity (PGV), and spectral accelerations as a function of magnitude, distance, and site conditions
  • Site effects influence ground motion characteristics based on local soil conditions and topography
    • Soft soils can amplify ground motions and increase duration of shaking
  • Seismic source characterization involves identifying active faults, determining their geometry, slip rates, and maximum magnitudes
  • Deaggregation identifies relative contributions of different earthquake scenarios to overall hazard at a site
  • Time-dependent hazard analysis accounts for changes in earthquake probability over time due to stress buildup and release on faults

Vulnerability Assessment

  • Fragility curves describe probability of a structure or component reaching or exceeding a damage state as a function of ground motion intensity
  • Capacity curves represent lateral load-deformation relationship of a structure, indicating yield and ultimate strength
  • Nonlinear static pushover analysis determines capacity curve by applying increasing lateral loads until failure
    • Pushover results help identify weak links and potential failure mechanisms in a structure
  • Rapid visual screening assesses seismic vulnerability of large building inventories based on observable characteristics (age, height, irregularities)
  • Detailed structural analysis using finite element models can simulate response of complex structures to earthquake loading
  • Damage indices quantify extent of structural damage on a scale from 0 (no damage) to 1 (collapse)
    • Examples include Park-Ang index and FEMA P-58 damage states
  • Vulnerability modifiers account for factors that increase or decrease seismic risk, such as construction quality, maintenance, and retrofitting

Risk Calculation Methods

  • Scenario-based risk assessment estimates losses for a single hypothetical earthquake event
    • Useful for emergency planning and response exercises
  • Probabilistic risk assessment (PRA) quantifies expected losses over a specified time period considering all possible earthquake scenarios
    • PRA results can be expressed as average annual loss (AAL) or probable maximum loss (PML)
  • Event tree analysis models progression of an earthquake through a series of branching events and consequences
  • Consequence functions relate damage states to losses such as repair costs, casualties, and downtime
  • Indirect losses from business interruption and supply chain disruption can exceed direct physical damage costs
  • Uncertainty analysis quantifies variability and confidence intervals in risk estimates due to incomplete data and modeling assumptions
  • Benefit-cost analysis compares expected risk reduction benefits of mitigation measures to their implementation costs

Mitigation Strategies

  • Performance-based design sets specific performance objectives for a structure under different earthquake hazard levels
    • Objectives can range from collapse prevention to immediate occupancy post-earthquake
  • Seismic isolation decouples a structure from ground motion using flexible bearings or dampers
    • Reduces seismic forces and interstory drifts in the superstructure
  • Energy dissipation devices (dampers) absorb earthquake energy and reduce structural response
    • Examples include viscous fluid dampers, friction dampers, and yielding metal dampers
  • Structural health monitoring uses sensors to continuously assess condition and detect damage in structures
  • Seismic early warning systems detect P-waves from an earthquake and provide alerts before damaging S-waves arrive
    • Can trigger automated safety measures such as shutting off gas lines and slowing trains
  • Non-structural mitigation secures building contents and equipment to prevent injuries and property damage
    • Includes anchoring bookshelves, restraining hazardous materials, and using safety glass
  • Community resilience planning engages stakeholders to identify and prioritize actions for reducing seismic risk and improving recovery capabilities

Case Studies and Real-World Applications

  • 1994 Northridge earthquake in Los Angeles resulted in $20 billion in losses and exposed vulnerabilities in steel moment frame buildings
    • Led to changes in building codes and retrofit programs for existing structures
  • 2011 Christchurch earthquake in New Zealand caused widespread liquefaction and damage to unreinforced masonry buildings
    • Highlighted importance of soil-structure interaction and performance of retrofitted structures
  • Seismic risk assessment of nuclear power plants ensures safety and prevents release of radioactive materials during earthquakes
  • Lifeline infrastructure systems (water, power, transportation) require special consideration due to their network characteristics and cascading failure potential
  • Seismic design of bridges and overpasses prevents collapse and ensures post-earthquake functionality for emergency response and recovery
  • Retrofit of historic buildings balances preservation of cultural heritage with life safety and damage reduction
  • Risk assessment of port facilities and container cranes is critical for maintaining global supply chains after earthquakes

Tools and Technologies

  • Geographic Information Systems (GIS) integrate and visualize seismic hazard, vulnerability, and risk data spatially
    • Enable mapping of earthquake scenarios and loss estimates for decision support
  • Remote sensing techniques such as LiDAR and satellite imagery can rapidly assess damage and ground deformation after earthquakes
  • Shake maps display observed and predicted ground motions in real-time for situational awareness and emergency response
  • Building Information Modeling (BIM) creates digital representations of structures for seismic analysis, retrofit design, and asset management
  • Artificial intelligence and machine learning techniques can automate damage assessment from post-earthquake images and data
  • Cloud computing and high-performance computing enable large-scale seismic risk simulations and uncertainty quantification
  • Wireless sensor networks monitor structural health and detect damage for rapid post-earthquake assessment and decision-making
  • Integration of seismic risk assessment with multi-hazard resilience planning for comprehensive risk management
    • Considers interactions and cascading effects between earthquakes, tsunamis, landslides, and other hazards
  • Incorporation of socioeconomic vulnerability and social justice considerations in seismic risk assessment and mitigation prioritization
  • Development of performance-based earthquake engineering (PBEE) frameworks that explicitly link seismic hazard, structural response, damage, and losses
  • Advancement of physics-based ground motion simulations that capture complex source, path, and site effects
  • Utilization of big data analytics and crowdsourcing for rapid damage assessment and situational awareness after earthquakes
  • Adaptation of seismic risk assessment methods for developing countries with limited data and resources
  • Consideration of aging infrastructure and deterioration in seismic vulnerability assessment and retrofit prioritization
  • Integration of seismic risk assessment into sustainable design and lifecycle cost analysis of structures and infrastructure systems


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AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.