Abstract

The present study provides a review of the most diffused technical and non-technical performance indicators adopted worldwide by infrastructure owners. This work, developed within the European COST Action TU 1406 – “Quality specifications for roadway bridges, standardization at a European level”, aims to summarize the state-of-art maintenance scheduling practices adopted by bridge owners, mainly focusing on the identification and classification of the most diffused performance indicators (PIs). PIs are subdivided in technical and non-technical ones: for this latter subclass, PIs are classified in environmental, social and economic-targeted. The study aims to be a reference for researchers dealing with performance-based assessments and bridge maintenance and management practices.

Highlights

  • Roadway infrastructure asset management aims at define the optimal maintenance strategies required in order to ensure the fulfillment of a desired performance level, achieving a predefined performance goal

  • As regards technical performance indicators (PIs), one challenge is represented by the conversion of the current visual-inspection based Bridge Management Systems (BMSs), adopted by the majority of public/private infrastructure owners, to more refined quantitative technical PIs, like those reported in section Operational Technical Performance Indicators

  • This work focused on the identification and classification of the most diffused technical, environmental, social and economic performance indicators (PIs) adopted in existing Bridge Management Systems, and those still under progress and that could be eventually included in the future

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Summary

INTRODUCTION

Roadway infrastructure asset management aims at define the optimal maintenance strategies required in order to ensure the fulfillment of a desired performance level, achieving a predefined performance goal. Several research technical PIs were proposed in the last decades, with the aim to optimize maintenance planning of aging bridges, mainly based on the quantitative evaluation of the structural safety, usually expressed in terms of probability of failure for a given limit state function, considering both load and resistance characteristics. There is the need to rationally handle various metrics accounting for different aspects in the identification of the optimal rehabilitation strategy for a bridge structure In this regard, some researchers proposed indicators to comprehensively accounting for such different aspects: Hendy and Petty (2012) presented the socalled “Sustainability index” based on radar charts ranging between 0 and 1, and used it for comparing different solutions for a new bridge project. Another interesting work was proposed by Lounis and McAllister (2016) that illustrated the proposal of a risk-based decision-making framework for bridges subject to different hazards able to account both technical and sustainability requirements

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