On Risk-Based Design of Structures Exposed to Changing Climatic Actions

Thannen, Magdalena von der; Hoerbinger, Stephan; Rauch, Hans Peter; Paratscha, Roman; Smutny, Roman; Strauß, Alfred

doi:10.1201/9781315375175-195

Cited by 9 publications

(6 citation statements)

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“…type or severity) can be used. Machine learning, together with pattern recognition and deep learning, are branches of the so-called Artificial Intelligence (AI) techniques that can be defined as the ability of a machine to mimic intelligent human behaviour, seeking to use humaninspired algorithms to solve problems (Penadés et al 2016, Amezquita-Sanchez et al 2016. All the aforementioned techniques aim to process recorded data in the most effective way in order to retrieve directly, or using numerical or analytical models, indicators of the structural performance that canbe used, together with assigned performance goals, to assess the structural performance.…”

Section: Performance Assessmentmentioning

confidence: 99%

“…There is a large disparity in Europe regarding the way these indicators are quantified and how such goals are specified. In order to tackle this issue, the COST Action TU1406 on 'Quality Specifications for roadway bridges, standardization at a European level' (Matos, 2016), recently concluded, collected performance indicators used in 31 European countries in order to investigate the possibility to propose a common framework for the quality check of short to medium span road bridges. In this framework, performance indicators are the basic elements to assess the structural performance.…”

Section: Performance Indicators and Modelsmentioning

confidence: 99%

“…The importance of this topic is underlined by the rise of specific actions at national and international level focusing on this issue. Among the other, the Cost Action TU1406 -Quality specifications for roadway bridges, standardization at a European level (Matos, 2016) This paper presents some insights on an integrated approach for lifecycle management of bridges. The approach builds upon capitalizing the outcomes of ongoing national and international initiatives as well as the results of researches dealing with specific aspects of the lifecycle bridge management ( Figure 1): (i) condition inspection and monitoring; (ii) performance modelling; (iii) performance assessment (iv) adaptive and retrofitting interventions and (v) standardization of best practices in maintenance and management of bridges.…”

Section: Introductionmentioning

confidence: 99%

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Lifecycle Management, Monitoring and Assessment for Safe Large-Scale Infrastructures: Challenges and Needs

Limongelli

Previtali

Cantini

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Many European infrastructures dating back to '50 and '60 of the last century like bridges and viaducts are approaching the end of their design lifetime. In most European countries costs related to maintenance of infrastructures reach a quite high percentage of the construction budget and additional costs in terms of traffic delay are due to downtime related to the inspection and maintenance interventions. In the last 30 years, the rate of deterioration of these infrastructures has increased due to increased traffic loads, climate change related events and man-made hazards. A sustainable approach to infrastructures management over their lifecycle plays a key role in reducing the impact of mobility on safety (over 50 000 fatalities in EU per year) and the impact of greenhouse gases emission related to fossil fuels. The events related to the recent collapse of the Morandi bridge in Italy tragically highlighted the sheer need to improve resilience of aging transport infrastructures, in order to increase the safety for people and goods and to reduce losses of functionality and the related consequences. In this focus Structural Health Monitoring (SHM) is one of the key strategies with a great potential to provide a new approach to performance assessment and maintenance over the life cycle for an efficient, safe, resilient and sustainable management of the infrastructures. In this paper research efforts, needs and challenges in terms of performance monitoring, assessment and standardization are described and discussed.

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Section: Performance Assessmentmentioning

confidence: 99%

Section: Performance Indicators and Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Lifecycle Management, Monitoring and Assessment for Safe Large-Scale Infrastructures: Challenges and Needs

Limongelli

Previtali

Cantini

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…These methods are considered to be tried and trusted within the bridge-owner community, but possess several limitations in their scope and attain inconsistent results due to the disparity of inspector competency. International inconsistencies are also prevalent with regards to damage parameter measurement, non-destructive testing methods, condition state definitions, and inspection frequencies [2], which has resulted in traditional inspection methods being perceived as overly subjective, resulting in recent measures being taken by the international research community to standardise cross-border practices and definitions [3,4].…”

Section: Introductionmentioning

confidence: 99%

Structural Health Monitoring (SHM) of Civil Structures

2018

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Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their progression to real-world applications has not been without its challenges and shortcomings, mainly stemming from: (1) environmental and operational variations; (2) inefficient utilization of machine learning algorithms for damage detection; and (3) a general over-reliance on modal-based DSFs alone. The present paper provides an in-depth review of the development of modal-based DSFs and a synopsis of the challenges they face. The paper then sets out to addresses the highlighted challenges in terms of published advancements and alternatives from recent literature.

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“…The main objective of the COST Action TU1406 is to develop a guideline for the establishment of QC plans in roadway bridges, by integrating the most recent knowledge on performance assessment procedures with the adoption of specific goals (Matos, 2016. This guideline will focus on bridge maintenance and lifecycle performance at two levels: (i) performance indicators and (ii) performance goals.…”

Section: Introductionmentioning

confidence: 99%

Performance indicators for road bridges - overview of findings and future progress

Strauß¹,

Ivanković²,

Matos³

et al. 2017

Proceedings of the Joint COST TU1402 - COST TU1406 - IABSE WC1 Workshop: The Value of Structural Health Monitoring for the Reli

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Abstract.One of the main objectives of COST Action TU 1406 is to build a performance indicator database, in order to develop technical recommendations which will specify the performance goals, aiming to provide a methodology with detailed step-by-step explanations for establishment of QC plans for different bridge types. This paper presents the main findings of Working Group 1: Performance Indicators (PI), based on analysis of documents related to bridge maintenance, assessment and management from different European countries through surveying, clustering, homogenization and categorization. In addition, further steps in order to correlate with the objectives of the Working Group 2, whose work is dedicated to revealing Performance Goals (PG), and the Working Group 3, dedicated to the establishment of Quality Control (QC) plans, if is foreseen.

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On Risk-Based Design of Structures Exposed to Changing Climatic Actions

Cited by 9 publications

References 0 publications

Lifecycle Management, Monitoring and Assessment for Safe Large-Scale Infrastructures: Challenges and Needs

Lifecycle Management, Monitoring and Assessment for Safe Large-Scale Infrastructures: Challenges and Needs

Structural Health Monitoring (SHM) of Civil Structures

Performance indicators for road bridges - overview of findings and future progress

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