Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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University of Bristol

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2020EXPERIMENTAL INVESTIGATION OF LOW COST STEEL WIRE MESH RETROFIT FOR STONE MASONRY IN MUD MORTARcitations
  • 2020EXPERIMENTAL INVESTIGATION OF LOW COST STEEL WIRE MESH RETROFIT FOR STONE MASONRY IN MUD MORTARcitations
  • 2015Model updating of a bridge-foundation-soil system based on ambient vibration datacitations
  • 2011Preliminary design of seismically isolated R/C highway overpasses- Features of relevant software and experimental testing of elastomeric bearingscitations

Places of action

Chart of shared publication
Guragain, R.
2 / 2 shared
Shrestha, H.
2 / 2 shared
Luca, Flavia De
1 / 1 shared
Chaulagain, R.
2 / 2 shared
Alexander, Nicholas A.
2 / 15 shared
Giordano, Nicola
2 / 2 shared
Manandhar, Vibek
2 / 2 shared
Marasini, N. P.
2 / 2 shared
Prajapati, R.
2 / 2 shared
De Luca, Flavia
1 / 1 shared
Faraonis, P.
1 / 1 shared
Chatzi, E.
1 / 2 shared
Zabel, V.
1 / 1 shared
Manos, George C.
1 / 1 shared
Mitoulis, Stergios A.
1 / 1 shared
Chart of publication period
2020
2015
2011

Co-Authors (by relevance)

  • Guragain, R.
  • Shrestha, H.
  • Luca, Flavia De
  • Chaulagain, R.
  • Alexander, Nicholas A.
  • Giordano, Nicola
  • Manandhar, Vibek
  • Marasini, N. P.
  • Prajapati, R.
  • De Luca, Flavia
  • Faraonis, P.
  • Chatzi, E.
  • Zabel, V.
  • Manos, George C.
  • Mitoulis, Stergios A.
OrganizationsLocationPeople

document

Model updating of a bridge-foundation-soil system based on ambient vibration data

  • Sextos, Anastasios
  • Faraonis, P.
  • Chatzi, E.
  • Zabel, V.
Abstract

In Structural Health Monitoring (SHM) applications, observed discrepancies between identified and numerically calculated dynamic characteristics of structures have to be carefully interpreted and evaluated. Structural damage is not always responsible for those discrepancies, which can also be attributed to the initial assumptions adopted for the numerical models. In the present work a model updating framework is applied for a structurefoundation- soil experimental test-case, where discrepancies were observed between identified and numerically computed dynamic characteristics of an undamaged bridge-foundationsoil system. The scope is to interpret the observed discrepancies, to validate alternative numerical approaches of simulating soil-structure-interaction and to investigate how the refinement of the numerical models influences the model updating results. To this end, a steel strucure comprising an equivelnt scaled system of an under-construction isostatic deck-piercaisson part of Metsovo bridge, in Greece, was studied in the laboratory. The Stochatsic Subspace Identification (SSI) method was implemented in order to identify the dynamic characteristics (natural frequencies, modeshapes, damping ratios) of the structure. Numerical models with different level of modeling complexity were developed and were then updated until correlation was achieved between identified and numerically calculated natural frequencies. The results indicated that the soil's initially adopted shear modulus G was overestimated thereby requiring appropriate calibration. After model updating takes place, all considered numerical models provide natural frequency estimates that are in good agreement with those identified based on ambient vibrations, indicating that less refined numerical models can be implemented in SHM applications in an efficient manner, provided soil parameters are accurately accounted for.

Topics
  • impedance spectroscopy
  • laser emission spectroscopy
  • steel