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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Materials Map under construction

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 (3/3 displayed)

  • 2022Reliability assessment of existing RC bridges with spatially-variable pitting corrosion subjected to increasing traffic demand42citations
  • 2019Multi-dimensional damage measure for seismic reliability analysis34citations
  • 2017Probabilistic seismic performance assessment of an existing RC bridge with portal-frame piers designed for gravity loads only31citations

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Francesco, Pugliese
1 / 2 shared
Sarno, Luigi Di
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Tesfamariam, Solomon
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Goda, Katsuichiro
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Disarno, Luigi
1 / 2 shared
Paolacci, Fabrizio
1 / 2 shared
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2022
2019
2017

Co-Authors (by relevance)

  • Francesco, Pugliese
  • Sarno, Luigi Di
  • Tesfamariam, Solomon
  • Goda, Katsuichiro
  • Disarno, Luigi
  • Paolacci, Fabrizio
OrganizationsLocationPeople

article

Reliability assessment of existing RC bridges with spatially-variable pitting corrosion subjected to increasing traffic demand

  • Francesco, Pugliese
  • Sarno, Luigi Di
  • Risi, Raffaele De
Abstract

Bridges are critical for transportation networks. Temporary closures due to poor maintenance may trigger adverse cascading events, affecting economic and societal well-being. Two main factors play a key role in bridge health conditions: ageing and wear-and-tear due to the increasing traffic. This paper proposes a comprehensive framework to quantify the combined phenomena in a holistic approach. The reliability assessment of an existing reinforced concrete bridge subjected to increasing traffic demand and spatially-variable pitting corrosion is investigated. Empirical data are used to develop probabilistic models for cracking initiation, pitting factor, severe cracking, and cover spalling.<br/>Statistical distributions of temperatures from a local meteorological station are used to investigate environmental effects on corrosion initiation. For the traffic, national highway databases are used to model the vehicular flow. Ductile and brittle failure mechanics are considered for the structural capacity assessment. Coupled biaxial bending-axial loading domain is adopted for the ductile structural checks. The shear capacity is assessed through the response limit surface from the modified compression field theory results. Finally, Monte Carlo simulations are performed at intervals of 10 years to derive a time-dependent reliability profile compared against standard thresholds to determine the health conditions of the bridge.<br/>

Topics
  • impedance spectroscopy
  • surface
  • theory
  • simulation
  • pitting corrosion
  • aging