Publicação

Development of culvert risk condition evaluation for decision-making within road infrastructure management

Ver documento

Detalhes bibliográficos
Resumo:Regarding road infrastructure management systems, culverts need to be assessed in order to avoid failures and road collapses. So, periodic inspections framework and condition rating implementation has an important role for life service estimation and reliability evaluation. In addition, the risk can be avoided through condition rating merged with culverts exposure and vulnerabilities. This will provide information to support decision-making and prioritize interventions. In this paper a new approach for decision-making process is presented taking into consideration the global risk index (αG). The proposal includes a set of culverts descriptors, weight attribution and aggregation rules complying with external factors such as hazards, condition rates and consequences. Moreover, a case study with 25 different systems is conducted to qualitatively assess culverts global risk index and prioritize needed interventions.
Autores principais:Sousa, Fernando
Outros Autores:Dias, Sara; Matos, José C.; Camões, Aires
Assunto:Culverts management system Risk assessment Decision-making process Hazards occurrence
Ano:2021
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:Regarding road infrastructure management systems, culverts need to be assessed in order to avoid failures and road collapses. So, periodic inspections framework and condition rating implementation has an important role for life service estimation and reliability evaluation. In addition, the risk can be avoided through condition rating merged with culverts exposure and vulnerabilities. This will provide information to support decision-making and prioritize interventions. In this paper a new approach for decision-making process is presented taking into consideration the global risk index (αG). The proposal includes a set of culverts descriptors, weight attribution and aggregation rules complying with external factors such as hazards, condition rates and consequences. Moreover, a case study with 25 different systems is conducted to qualitatively assess culverts global risk index and prioritize needed interventions.