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Assessment and Forecast of the Culvert’s Performance Within a Road Infrastructure Management System. Literature Review

 Assessment and Forecast of the Culvert’s Performance Within a Road Infrastructure Management System. Literature Review
Autor(en): , ,
Beitrag für IABSE Symposium: Synergy of Culture and Civil Engineering – History and Challenges, Wrocław, Poland, 7-9 October 2020, veröffentlicht in , S. 1157-1164
DOI: 10.2749/wroclaw.2020.1157
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During the 21st century, within road infrastructure management there is a strong enforcement on preserving assets and prevent roadway collapses. As a result, public agencies have to implement perio...
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Autor(en):


Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Symposium: Synergy of Culture and Civil Engineering – History and Challenges, Wrocław, Poland, 7-9 October 2020
Veröffentlicht in:
Seite(n): 1157-1164 Anzahl der Seiten (im PDF): 8
Seite(n): 1157-1164
Anzahl der Seiten (im PDF): 8
Jahr: 2020
DOI: 10.2749/wroclaw.2020.1157
Abstrakt:

During the 21st century, within road infrastructure management there is a strong enforcement on preserving assets and prevent roadway collapses. As a result, public agencies have to implement periodic inspections and asset condition assessments. As pavements and bridges also culverts management play a special role in roadway safety, because they prevent roadbed erosion. The scope of this investigation is the assessment and forecast of culverts performance regarding rating condition and network reliability forecast. In addition, it intends to analyze hazards influence in the culvert serviceability, modelling the hazards actions on the infrastructure.

In this paper, is performed the literature review of studies done during the past decade comparing advantages and limitations. Five main subjects are identified in the development of a culvert management system, since the inventory and inspection framework, to forecasting models and risk assessment. Moreover, it will determine the correlation between subjects and will find gaps for improvement.

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