Risk Indexing Tool to Assist in Prioritizing Improvements to Embankment Dam Inventories

Andersen, Glen R.; Chouinard, Luc; Hover, William H.; Cox, Chad W.

doi:10.1061/(asce)1090-0241(2001)127:4(325)

Cited by 15 publications

(12 citation statements)

References 3 publications

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“…Metode modifikasi Andersen disebut metode indeks risiko karena memberikan indikasi tingkat potensi risiko yang mungkin terkait dengan kegagalan bendungan. Risiko-risiko ini diukur sebagai kekurangan dalam keadaan atau kondisi fisik bendungan saat ini yang kemudian diberi bobot berdasarkan kepentingannya terhadap keamanan bendungan, kerentanan, dan potensi bahaya bendungan (Andersen et al, 2001). Menurut (Soentoro et al, 2013), metode modifikasi Andersen membutuhkan data dan informasi berupa baseline dam, data teknis bendungan, data monitoring dari instrumen yang terpasang, parameter material statis dan dinamis untuk analisis stabilitas pengaruh gempa dan inspeksi lapangan.…”

Section: Metode Modifikasi Andersenunclassified

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Penilaian Risiko Bendungan Tilong Berbasis Metode Indeks Risiko

2023

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Risk assessment aims to identify risks that may occur in various conditions, so that the necessary action plan can be carried out if the risk is unacceptable. In this study, the value of safety level in Tilong Dam, located at Kupang Regency, NTT is calculated. The method used in this research is the risk index method. The method is based on a combination of importance of a dam factors, relative importance of physical conditions, and current condition from inspection. The result of this study shows that Tilong Dam has an importance of a dam factors (Idam) was 630, the total index risk was 116,55, and the safety level was 81,5. Tilong dam could be classified as satisfactory condition (safety level75), so that no action plan is needed because it is categorized as safe under normal and extraordinary load conditions.

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Section: Metode Modifikasi Andersenunclassified

“…Menurut (Ishbaev et al, 2014), faktor kerawanan total merupakan resistensi bendungan terhadap kejadian kegagalan yang disebabkan faktor alam. Faktor kerawanan total dapat dihitung menggunakan persamaan berikut (Andersen et al, 2001):…”

Section: Menentukan Faktor Kerawanan Totalunclassified

Penilaian Risiko Bendungan Tilong Berbasis Metode Indeks Risiko

2023

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“…Performance is defined as the capability of an infrastructure or a component to perform the functions for which it was designed. Different methods are available in the literature for assessing dam safety: physical models, records of failures and accidents (Foster et al, 2000a;Foster et al, 2000b;Kreuzer, 2000), systemic methods (Peyras et al,2000;Serre et al, 2007), and knowledge-based methods (Andersen et al, 2001;Chou et al, 2001;Curt et al, 2010). At present, all over the world the assessment of dam performance and safety and their diagnoses are carried out and proposals for corrective actions are made by expert engineers during dam reviews.…”

Section: Introductionmentioning

confidence: 99%

Selection of appropriate defuzzification methods: Application to the assessment of dam performance

Talon¹,

Curt²

2017

Expert Systems with Applications

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The performance assessment of dams is of major importance for optimizing maintenance management. A methodology is provided here to assess the risk of dam failure using data collected during in-situ inspections and from the design and follow-up files. This assessment takes into account uncertainty associated with the data and the assessment process. The result of this assessment is introduced in a fuzzy frame. This paper presents the approach taken to choose defuzzification methods that allow extracting the information necessary from this possibility distribution so that dam experts can both rank dam maintenance actions and communicate the results of this assessment. This paper first presents the process used to assess dam performance after which it presents the defuzzification methods available. A sensitivity analysis is then performed to select the methods most relevant for our case study. The last part presents the development of a tool useful for the application of defuzzification methods to our problematic and describes a real case study in which the selected defuzzification methods are used. HIGHLIGHTS We propose an approach for selecting appropriate defuzzification methods that fulfills the requirements of a group of experts. We propose a sensitivity analysis of defuzzification methods. We apply this approach to the assessment of dam performance. Methods were chosen in relation to the objectives (decision-support and communication) defined by a group of dam experts. The approach is applied to a real case.

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“…This is particularly the case of dams that can give rise to risks for persons and property located downstream. Different methods are available in the literature for assessing dam safety: physical models, records of failures and accidents (Foster, Fell, & Spannagle, 2000a, 2000bKreuzer, 2000), systemic methods (Peyras, Royet, & Boissier, 2006;Serre, Peyras, Curt, Boissier, & Diab, 2007) and knowledge-based methods (Andersen, Chouinard, Hover, & Cox, 2001;Andersen & Torrey, 1995;Chou, Chen, Wang, Chen, & Chen, 2001;Curt, Peyras, & Boissier, 2010;Curt, Talon, & Mauris, 2011;Hydro-Québec, 2005;Peyras et al, 2011;Serre et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…A generic methodology was proposed to allocate funds rationally between a large number of structures on the basis of the assessment of a CI (Andersen & Torrey, 1995;Andersen et al, 2001). This technique was used and adapted by other organisations such as Hydro-Québec for embankment dams (Hydro-Québec, 2005).…”

Section: Introductionmentioning

confidence: 99%

Approach to improving the quality of data used to analyse dams – illustrations by two methods

Curt¹,

Gervais

2013

European Journal of Environmental and Civil Engineering

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Assessing the safety of a civil engineering structure requires using a large quantity of data. These data are frequently "imperfect", meaning that they comprise uncertainty, imprecision and incompleteness. It is important to develop systems for assessing and controlling these imperfections in order to both quantify the quality of the data used to evaluate the condition of structures and decide on the corrective actions to reduce these imperfections. Here, we propose a generic approach to controlling the quality of the data used when analysing a dam. Different methodologies can be considered to implement this approach and an illustration is given for two methods developed independently: one by Hydro-Québec, in Canada, and another, by Irstea, in France.

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Risk Indexing Tool to Assist in Prioritizing Improvements to Embankment Dam Inventories

Cited by 15 publications

References 3 publications

Penilaian Risiko Bendungan Tilong Berbasis Metode Indeks Risiko

Penilaian Risiko Bendungan Tilong Berbasis Metode Indeks Risiko

Selection of appropriate defuzzification methods: Application to the assessment of dam performance

Approach to improving the quality of data used to analyse dams – illustrations by two methods

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