Due to a considerable amount of information required to support the decision-making processes, an increasing number of infrastructure owners use computerized management systems. Bridges, being complex and having significant impact on society, have often been the foundation for the development of these systems. In order to manage bridges effectively, condition prediction models are incorporated to the core of decision-making processes. Many of developed and applied stochastic prediction models show certain limitations. The impact of these limitations on deterioration predictions cannot be objectively evaluated without direct comparison of prediction results. Hence, several stochastic prediction models based on condition ratings obtained from visual inspections of bridge decks are compared in this article. Models are described and implemented on the data of around 1100 reinforced concrete bridge decks from the ‘Infraestruturas de Portugal’, a state owned Portuguese general concessionaire for roadways and railways. The statistical analysis of different models revealed significant deviations, particularly in higher condition ratings. Results indicate limited prediction capability of a simple homogeneous Markov chain model when compared with time- and space-continuous models, such as the gamma process model.
Pórticos, semipórticos e pórticos de telemática são equipamentos de sinalização rodoviária com a importante função de transmitir informação aos utilizadores das vias de comunicação que integram. Sendo equipamentos essenciais à utilização, operação e gestão das redes rodoviárias, contribuem também para a prossecução da missão e dos objetivos das empresas gestoras de infra-estruturas de transporte. Nesse sentido, estas estruturas constituem-se como ativos que importa gerir, procurando uma adequada relação entre custo, risco e desempenho, ao longo da sua vida útil. O modelo de gestão do risco da Insfraestruturas de Portugal, baseado na norma NP ISO 31000:2018, tem como objetivo gerir as ameaças e vulnerabilidades, de forma estruturada, integrada, transversal e contínua, contribuindo assim para a preservação e criação de valor. Após identificação do risco a gerir a metodologia proposta prevê a sua análise nas vertentes de probabilidade de ocorrência do risco e impacto da ocorrência do risco, que por sua vez permitem a sua avaliação e tratamento por via da definição de um nível de risco, metodologia aqui aplicada aos pórticos e semipórticos de sinalização rodoviária.
<p>With a view to the development of a life-cycle approach to earth retaining walls, as well as an optimal management of the road assets as a whole, this paper presents a novel framework for the assessment of a large stock of earth retaining structures in a context of limited financial and human resources. In order to adequate the system for the number of structures to be managed a large inventory campaign was previously conducted. These results and how they helped to shape the framework are briefly discussed. Being a proposal for a systematic management of infrastructure assets it was developed according to Business Process Management discipline, namely the Business Process Model and Notation, as specified in the standard ISO/IEC 9510:2013. The developed framework is considered as a management process, with specific intervenient, interrelated activities, specific inputs, and standard outputs.</p>
<p>The paper presents a framework to evaluate key performance indicators (KPIs) in qualitative man- ner. This framework is the basis for establishment of Quality Control plans for existing bridges. It addresses the dynamics of the damage processes that allows predicting the point in time, from which the performance goals are not met anymore. The KPIs are defined to address not only road users’ but also owner’s or operator’s perspective as well as environmental and societal concerns. To this end the RAMSSHE€P approach gas been modified. The proposed framework is also illus- trated on a simple example.</p>
<p>In the context of Asset Management, measuring the performance of each asset or the performance of a specific group of assets plays a vital role in all asset-intensive organisations, depending on large amounts of physical equipment or assets. This paper describes the development of multi-asset performance indicators made by Infraestruturas de Portugal, S.A. (IP), a process started in 2015. IP is currently the organisation managing the most valuable stock of assets in Portugal, comprising more than 15.000 km of roads, 2.600 km of railways, more than 7.500 bridges as well as other sub- systems. Managing in an integrated way such diverse asset types became a significant challenge, raising the need to develop performance indicators so that the organisation could track and report the performance of its assets on a common basis, including both road and rail networks.</p>
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.