Advances and Research Trends in GeoEnvironmental Engineering and - - PowerPoint PPT Presentation

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Advances and Research Trends in GeoEnvironmental Engineering and - - PowerPoint PPT Presentation

Advances and Research Trends in GeoEnvironmental Engineering and GeoHazards Mitigation Juan M Pestana University of California, Berkeley. National Science Foundation US- South America Workshop on Mechanics and Advanced Materials Research


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Advances and Research Trends in GeoEnvironmental Engineering and GeoHazards Mitigation

Juan M Pestana

University of California, Berkeley. National Science Foundation

US- South America Workshop on Mechanics and Advanced Materials Research & Education. Rio de Janeiro, Brazil. August 5, 2004

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General Hazards.

  • Natural Hazards.
  • Man-made Hazards

–GeoEnvironmental Problems –Terrorism.

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Motivation Natural Hazards - Exposure

  • Annual exposure of worldwide population
  • 1. Cyclones, Hurricanes and Tornados – 119 m
  • 2. Floods – 196 m
  • 3. Earthquakes – 130 m
  • 4. Drought – 220 m

(source: UNDP- Reducing Disaster Risk – 2004)

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Natural Hazards - Losses

For the US – based on best data available

  • 1. Tornados and Hurricanes - $3.5b/yr – Population in

hurricane prone coastal areas is increasing

  • 2. Floods - $5b/yr – Development in flood plains and

increase in heavy rains

  • 3. Earthquakes - $4-5b/yr – 39 states and 75m people

are exposed to earthquake hazard

  • 4. Drought - $6-8 b/yr – 35 % of the country exposed.

Population shift to drier regions and land and water use effects.

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Advances and Research Trends

  • GeoEnvironmental Engineering

– Multidisciplinary approach to model, simulate and evaluate material response for remediation applications.

  • GeoHazards Mitigation

– Multilevel processes and integrated systems. Large Scale Simulations. – New technologies for modification of “natural” and “built” environment. Smart Materials.

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Advances and Research Trends

  • For both: Realization that you must deal

with existing “materials” soils with complex behavior.

– Rapid developments of non-intrusive techniques for site investigation/ characterization and monitoring. – Soil can be highly heterogeneous, so the introduction of uncertainty and stochastic simulation of both material properties and behavior.

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Advances and Research Trends

  • Introduction of Uncertainty at all levels and

use stochastic simulations, rather than deterministic approaches.

  • Improved Simulation Methods

(multiprocesses and multiscale)

  • Multi-scale Monitoring Systems to evaluate

performance- Need for “smart”- networked sensors.

  • Consistent evaluation of risk.
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Advances and Research Trends

Example: GeoEnvironmental Engineering

  • Conception/construction of “smart” barriers

for contaminant migration.

– Need to incorporate complex mechanisms and interactions: chemical, biological and mechanical response. – Iron, zeolites soil mixes for degradation, absorption and reduction of seepage velocity for organic compounds. – Monitoring? Embedded or remote sensors

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Advances and Research Trends

Example: GeoHazard Drought-Flood

  • Use of Multi-scale monitoring (sensors)

systems to integrate vastly different data types (precipitation, soil moisture, temperature). Remote sensing for determining health of vegetative cover.

  • Use of sophisticated “global” or large scale

stochastic models to simulate and predict catastropic events as drought and floods.

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Advances and Research Trends

Example: Earthquake Hazards

  • Prevention of poor performance of loose

soils during earthquake loading : liquefaction.

– Use of biological methods to alter material response – Chemical/ Mechanical – Complex Biochemical mechanical Nanoprocesses

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Foundation Failure Structural- adequate System Performance= Unacceptable

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SSRdip

  • 0.4 -0.2 0.0

0.2 0.4

SSRstrike

  • 0.4
  • 0.2

0.0 0.2 0.4

SSRdip

  • 0.4 -0.2 0.0

0.2 0.4

SSRstrike

  • 0.4
  • 0.2

0.0 0.2 0.4

  • Norm. Eff. Vert. Stress

(σ'v/σ'c )

0.0 0.4 0.8

SSR (τ/σ'

c )

0.0 0.2 0.4

γdip

10 15 20 25 30

γstrike

  • 15
  • 10
  • 5

5 10 15

D C B D C B A D C B A D C B A A bubble diameter=σ'v/σ'c

Example:Enhanced Understanding of Material Response Deformation Potential for Liquefaction Prone Soils under Multidirectional Excitation – after Kammerer, Pestana & Seed (2004)

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Multi-disciplinary Approach

Seismic event Transmission of Seismic waves Site Response Soil-Foundation-Structure Interaction System Response Performance Modeling Consequences (Losses/Decisions) Seismic Hazard Performance Simulation Impact Assessment Earth Sciences Engineering Social Sciences

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Multidisciplinary Approach Example: Earthquake Hazards

Seismology Tsunamis Geotechnical engineering Built environment - Buildings & Lifelines Risk assessment – Decision sciences Public policy

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Advances and Research Trends Earthquake Hazards

  • Use of Large scale testing for both

individual components (beams, columns) and multicomponent arrays (structural and non-structural elements).

  • Analysis and Simulation of large scale

systems.

  • Use of smart-networked sensors to monitor

health and identified adverse performance.

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Network for Earthquake Engineering Simulation (NEES)

Goal Improve understanding of effect of earthquakes on building and infrastructural systems through collaborative research 16 Universities are funded for enhanced capabilities in earthquake engineering research Research $9 million annual commitment (FY 2004)

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NEES Resources

George E. B row n, Jr. N etw ork for Earthquake Engineering Sim ulation

  • V. M ujum da r

NEES Resources

Field Equipm ent Laboratory Equipm ent Rem ote Users Rem ote Users:

(K-12 Faculty and Students)

High- Perform ance Netw ork(s) Instrum ented Structures and Sites Leading Edge Com putation Curated Data Repository Laboratory Equipm ent G lobal Connections

(FY 2005 – FY 2014)

(Faculty,

Students, Practitioners)

Sim ulation Tools Repository

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NEES Capabilities

Integrates resources for research and education to serve the earthquake engineering community Shared use facilities, Data repository, Simulation tools, Collaborative/communication tools, Numerical and model-based simulation, Partnering, training, …

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Illustration

Super-material (UCSD)

  • Fiber-reinforced polymeric composite with

embedded microchips with on board data processors and copper wires

  • Sensors provide information on damage and

ambient conditions to assess the condition of the structure

  • Copper wire allow wireless communication
  • Embedded sensors allow tunable

electromagnetic properties to heal the material

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Summary.

  • Soil as a complex material: non-intrusive site

investigation and material parameter determination. Incorporation of uncertainty

  • Infrastructure as complex systems requiring multi-

scale and networked sensors and the associated processing capability.

  • Modification of material response for both natural

and constructed systems. Smart materials

  • Multidisciplinary approach and incorporation of

multiple mechanisms and processes to describe complex material response