Influence of available data on sewer inspection program efficiency

Ahmadi, Mehdi; Cherqui, Frédéric; Massiac, Jean-Christophe De; Gauffre, P. Le

doi:10.1080/1573062x.2013.831910

Cited by 26 publications

(26 citation statements)

References 30 publications

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“…The scores of the other materials are set according to their percentages. This distinction in condition classes is more differentiated, than the binary classification into unacceptable and acceptable condition, used for some deterioration models [63,64]. Pipes in condition class 0 (immediate action necessary) were set to have a larger impact on the result than others.…”

Section: Sewer Networkmentioning

confidence: 99%

Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization

Tscheikner-Gratl

Egger

Rauch

et al. 2017

Water

123

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Abstract:The decisions taken in rehabilitation planning for the urban water networks will have a long lasting impact on the functionality and quality of future services provided by urban infrastructure. These decisions can be assisted by different approaches ranging from linear depreciation for estimating the economic value of the network over using a deterioration model to assess the probability of failure or the technical service life to sophisticated multi-criteria decision support systems. Subsequently, the aim of this paper is to compare five available multi-criteria decision-making (MCDM) methods (ELECTRE, AHP, WSM, TOPSIS, and PROMETHEE) for the application in an integrated rehabilitation management scheme for a real world case study and analyze them with respect to their suitability to be used in integrated asset management of water systems. The results of the different methods are not equal. This occurs because the chosen score scales, weights and the resulting distributions of the scores within the criteria do not have the same impact on all the methods. Independently of the method used, the decision maker must be familiar with its strengths but also weaknesses. Therefore, in some cases, it would be rational to use one of the simplest methods. However, to check for consistency and increase the reliability of the results, the application of several methods is encouraged.

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Section: Sewer Networkmentioning

confidence: 99%

Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization

Tscheikner-Gratl

Egger

Rauch

et al. 2017

Water

123

View full text Add to dashboard Cite

show abstract

“…The recalibration process is carried out at the end of each year by considering the segments in the initial stock plus segments selected to be inspected during the previous years. By applying the Monte Carlo method, the whole procedure is then repeated 100 times (Ahmadi et al, 2013). Figure 2 demonstrates these steps.…”

Section: Simulation Framework and Efficiency Indicatorsmentioning

confidence: 99%

“…The framework for numerical simulations and the indicators for gauging the efficiency of an inspection programme proposed here are adapted from Ahmadi et al (2013). Some problematic issues are also evoked regarding the influence of missing data as well as the influence of uncertainty within utility database on inspection programmes.…”

Section: Assessing the Influence Of Data Available Within A Utility Dmentioning

confidence: 99%

“…The indicators developed and used in order to measure the efficiency of inspection programmes are Figure 1. Differences between asset stock and utility database (adapted from Ahmadi et al, 2013). also explained.…”

Section: Objective and Structure Of This Papermentioning

confidence: 99%

“…In the following section, we will describe our systematic approach proposed by Ahmadi, Cherqui, De Massiac, and Le Gauffre (2013) as a framework for numerical simulations. The indicators developed and used in order to measure the efficiency of inspection programmes are Figure 1.…”

Section: Objective and Structure Of This Papermentioning

confidence: 99%

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Benefits of using basic, imprecise or uncertain data for elaborating sewer inspection programmes

Ahmadi¹,

Cherqui²,

Massiac³

et al. 2014

Structure and Infrastructure Engineering

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Published online: 26 Mar 2014International audienceOne key goal of sewer inspection programmes is to target segments in the worst condition. Despite the development of deterioration models, the influence of available data on models' predictive power has not been studied in depth yet. In this article, numerical experiments have been conducted to answer three main questions: (1) How can the data most probably available within a utility be used to define an effective inspection programme? (2) Can we use an auxiliary variable in order to compensate effects of missing data on inspection programmes? (3) Is it worth to accept a degree of uncertainty within data instead of not having them? In other words, is it preferable to have uncertainty instead of incompleteness within utility database? In order to respond to these questions, we considered an asset stock and then degraded the information by introducing uncertainty, imprecision and incompleteness within, to form a utility's database. The results show that significant improvement of inspection programmes could be achieved by using the most probably available data within utilities. We also show that using the notion of 'district' can provide efficient results when the most informative factor 'age' is not available. Finally, it is shown that having uncertain data is preferable to having incompleteness

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A Fuzzy Multidimensional Risk Assessment Method for Sewer Asset Management

Roghani,

Tabesh,

Cherqui

2023

Int J Civ Eng

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This paper presents a flexible framework that aims at estimating the risk of structural failure in sewer pipes by utilizing limited or imperfect data. To this end, classical risk analysis is enhanced by incorporating fuzzy logic and multi-criteria decision making. To account for the multi-dimensionality of collapse risk at the pipe level as a decision parameter, its distinct impacts on the environment, traffic and road condition, and quality of life are taken into account. The proposed method is applied to the sewer network of Tehran, the capital of Iran. Results show how the integration of different risk indexes can influence the criticality of pipelines for the selection of rehabilitation activities. While using the first individual risk index, only considering the risk posed to the natural environment by a collapsing pipe in terms of contamination, approximately half of the pipe lengths are classified as extremely critical by the clustering algorithm. However, when the integrated risk is calculated, this cluster encompasses only approximately 30% of the total pipe length. With a database that contains various levels of uncertainty (from 10 to 60%), the predictive reproducibility for the exact same risk cluster is above 20% and above 50% for the same or only marginally better or worse. Furthermore, pipelines that are predicted to have a better risk class than the situation without considering uncertainty, thereby underestimating the likelihood of failures or consequences, are below 15%, showing a measure of quite good robustness. Considering the budget constraints of utilities, the proposed method can be applied to any urban, aiding in the identification of high-risk sections. Nevertheless, incorporating physical validation might be beneficial for further improving the analysis.

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Influence of available data on sewer inspection program efficiency

Cited by 26 publications

References 30 publications

Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization

Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization

Benefits of using basic, imprecise or uncertain data for elaborating sewer inspection programmes

A Fuzzy Multidimensional Risk Assessment Method for Sewer Asset Management

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