Diapositiva 1 - PowerPoint PPT Presentation

1 / 13
About This Presentation
Title:

Diapositiva 1

Description:

In this study the design spectra to be matched are based on specific ... Select time-histories from the CD-ROM: 'European Strong-Motion Database' DYNSLOPE ... – PowerPoint PPT presentation

Number of Views:34
Avg rating:3.0/5.0
Slides: 14
Provided by: sciarra
Category:

less

Transcript and Presenter's Notes

Title: Diapositiva 1


1
Project Slope Dynamic (DYNSLOPE)
? (End User) National protection Techn.
Qualification Galileo network
Gruppi Italiani
Partners Europei
ENEA
ENCRAY
ENST
ENSES
ENSIS
CAMO
UNICH
Dipartimento di Geotecnologie
POLIBA
Dipartimento di Ing. Civile ed Ambientale
APPOL
Enea shaking table laboratories ENSES Enea
Parallel Calculation (CRAY) ENCRAY Enea Seismic
Group. ENSIS Bari Politecnico
POLIBA DAppolonia Team APPOL Chieti
University UNICH Ente Spaziale ESA
ESA
2
General Project Purpose
The general aim of the proposed research program
is to study dynamical slope stability, from
macroscale to microscale, by both an experimental
and numerical point of view. On the experimental
ground, physical models, including slopes and
submerged slopes, will be tested and monitored on
ENEA shaking table by six freedom degrees. Then
numerical simulation, carried out by commercial
computer codes and new numerical algorithms,
under development by some of the partners, will
be compared with experimental results. Parallel
algorithms, by ENEA Cray, will be employed as
well. We are confident that experimental and
numerical comparisons will provide a correctness
test of both new developed numerical algorithms
and Commercial Codes utilization.
3
  • Main goals of the project will be
  • The experimental, theoretical development of
    commercial code and algorithms.
  • The development of new in situ sensors, able to
    perform real data both for macro and microscale.
    Such technology (qualified, by qualification
    institute) will give us the possibility to put
    under observation some sensible points,
    determined by the end users (National Protection
    Agency) simultaneously, by the satellite Galileo
    Facility in macro vision and by local network in
    micro vision.
  • Investigation and design enhancement of an
    existing monitoring and alarm system,
    geographically distributed and based on
    communication networks, for National Protection
    Agencies. System design enhancement will be
    focused on
  • its ability to host the new in situ sensors and
    numerical models, developed by the project
  • the guarantee that system services will be
    dependable (i.e. reliable, available, safe and
    secure) at the level requested by the project
    end users (National Protection Agencies)

4
Experimental task Physic models materials
different selected soils and rocks, artificial
materials, organic materials (APPOL, ENST,
UNICH, POLIBA) Scale problems frequencies, wave
lengths, loads, lithostatic load, internal
dissipation, water infiltration, compacting,
material (UNICH, APPOL, ENST) Physic models
arrangement slopes and submerged slopes, surface
morphology, stratifications, weakness, roads and
tunnels simulation (APPOL, ENST, UNICH,
POLIBA) Instruments localization
accelerometers, extensometers, piezometers
(UNICH, POLIBA, APPOL, ENST) Data acquisition
digital network, digital thermo-camera (ENST,
APPOL) Data acquisition development
(APPOL) Seismic wave to be modelled P, SH, SV,
Rayleigh, Loeve (UNICH, POLIBA, APPOL,
ENST) Input Motion Accelerogramma and Ground
Conditions and Seismic Action (UNICH, POLIBA,
APPOL, ENST) Soil dynamical parameters
measurements (UNICH, APPOL, ENST) Laboratory
tools purchase ENST(thermo-camera) New sensors
Macro vision ()
5
  • Numerical modelling task
  • Graphical input interface development C,
    Fortran 2000 languages
  • (UNICH, POLIBA, APPOL, ENCRAY)
  • Standard numerical algorithm development one,
    two and three dimensionality, continue and
    discrete stratification models, linear and non
    linear models, F.E.M., B.E.M.
  • (UNICH, POLIBA)
  • Advanced numerical algorithm development
    Stochastic Finite Element Method, Stochastic
    Boundary Element Method, harmonic and anharmonic
    oscillators
  • (UNICH, POLIBA)
  • Numerical algorithms related to micro mechanics
  • (UNICH, POLIBA)
  • Parallel Algorithms development
  • (UNICH, POLIBA, ENCRAY, ENSIS)
  • Comparisons between Commercial Codes and
    developed algorithm QUAD_4, FLUSH, SHAKE,
    PROSHAKE
  • (UNICH, POLIBA, ENSIS)
  • Experimental Tests and Numerical calculations
    comparisons
  • (UNICH, POLIBA,APPOL, ENST,ENCRAY, ENSIS)
  • Feedback in order to improve numerical and
    physical models
  • (UNICH, POLIBA, APPOL, ENST, ENCRAY, ENSIS)

6
CAMO
Design enhancement of a monitoring and alarm
system based on communication networks
  • Investigation and selection of an adequate
    pre-existing system (domain experts, civil
    protection authorities, system, communication
    and analysis engineers)
  • Design enhancement process focused on a) system
    ability to host new sensors and numerical
    models b) system services, performances and
    dependability (i.e. reliability, availability,
    safety and security)
  • System requirement (domain experts, civil
    protection authorities, system, communication
    and analysis engineers)
  • System specification (domain experts, system,
    communication and analysis engineers)
  • Integration of new sensors and numerical models
    (domain experts, system, communication and
    analysis engineers)
  • System validation (domain experts, civil
    protection authorities, system, communication
    and analysis engineers)
  • System training and exploitation (system
    engineers, domain experts, civil protection
    authorities)

7
GRUPPO ENSIS
  • SEISMIC INPUT CHARACTERIZATION

3 methodologies Deterministic Probabilistic Semi-
deterministic
Shaking table tests (ENEA)
8
Methodology
  • deterministic approach is based on the
    identification of the maximum credible earthquake
    (MCE).? Time-histories from the European Data
    Bank.
  • probabilistic approach. In this study the design
    spectra to be matched are based on specific
    seismic hazard analyses. Uniform Hazard Spectra
    (UHS) with a 475 or 900 years average return
    period.?Synthetic time-histories matching the
    same design spectrum
  • semideterministic approach. MCE parameters were
    also used to assign input parameters to SIMNOSTA
    (Sabetta et al., 1996). ? Synthetic
    time-histories.

9
Deterministic seismic hazard assesment
  • Definition of the seismic sources could affect
    the site.
  • For each source evaluate the Maximum Credible
    Earthquake (M, Focal Mechanism, depth, epicentral
    intensity).
  • Evaluate parameters at the site (epicentral
    distance, local intensity and soil).
  • Select time-histories from the CD-ROM European
    Strong-Motion Database

10
Probabilistic seismic hazard assesment
  • (Performed according to Cornells methodology)
  • Definition and characterisation of the seismic
    sources which could affect the site
  • Selection of a proper spectral attenuation law.
  • Uniform hazard spectra

11
Slope Instability
  • Seismic induced slope instabilities are dependent
    from low frequency content and magnitude of the
    recorded events.
  • Records low frequency content are hidden by
    various types of noise
  • records obtained from Italian (Rinaldis et
    al.,1994) and European (Clemente Rinaldis,
    1996) earthquakes have been processed and
    diffused by a CD developed in EU project.

12
Shake-table tests
  • shake-table tests are limited at ENEA max
    Payload of 10 tons and PGD lt 12.5 cm.
  • specimens on shake-table are full-scale and
    time-histories are filtered to match PGD lt 12.5
    cm, or specimens are reduced-scale and spectra
    shifted in frequency because of the mechanical
    similitute.
  • Input time-histories should be processed to
    attain the above specifics.

13
Fiber Bragg Grating sensors
Write a Comment
User Comments (0)
About PowerShow.com