Risk indexing tool to assist in prioritizing improvements to embankment dam inventories

Citation
Gr. Andersen et al., Risk indexing tool to assist in prioritizing improvements to embankment dam inventories, J GEOTECH G, 127(4), 2001, pp. 325-334
Citations number
9
Categorie Soggetti
Civil Engineering
Journal title
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
ISSN journal
10900241 → ACNP
Volume
127
Issue
4
Year of publication
2001
Pages
325 - 334
Database
ISI
SICI code
1090-0241(200104)127:4<325:RITTAI>2.0.ZU;2-G
Abstract
A risk indexing tool is proposed to assist in the prioritization of mainten ance, repair, and evaluation tasks on embankment dams that are generally le ss than 33 m (100 ft) high and for which there is little or no instrumentat ion. limited or no information concerning as-built conditions, and little o r no information on the performance history. Under such circumstances, ther e may not be enough information available to perform anything other than an "indexing" type of analysis to assist in prioritization. The risk indexing tool is based upon identifying potential deficiencies in the physical cond ition of the dam and rating the overall importance of these deficiencies to the safety of the structure. It is meant as an index of risk (indication) and not as a direct measure of risk. Checklists are presented for onsite in spections to determine current physical condition. Condition is defined in terms of a condition function that is based upon a condition indexing scale . Four potential failure modes are considered: (1) overtopping; (2) externa l erosion: (3) piping; and (4) mass movement (slope instability). Absolute probabilities are specifically not factored into the analysis. Conditional probabilities are estimated for each failure mode using a Bayesian updating procedure based on dam attributes. A simple failure criticality analysis i s performed wherein specific changes in physical condition of the dam are c onsidered to contribute to the probability of failure for each mode. From t his failure criticality analysis and the conditional probabilities of failu re, the relative importance of the various changes in physical condition is determined. The physical condition and the relative importance are then co mbined for each observable deficiency to form a risk index. These risk indi ces are used to prioritize expenditures for improvements on the premise tha t actions to address the most significant physical deficiencies are preferr ed.