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A Knowledge Formalization and Aggregation‐Based Method for the Assessment of Dam Performance
Author(s) -
Curt Corinne,
Peyras Laurent,
Boissier Daniel
Publication year - 2010
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/j.1467-8667.2009.00604.x
Subject(s) - computer science , embankment dam , grid , set (abstract data type) , data mining , scale (ratio) , levee , geotechnical engineering , engineering , geology , cartography , geodesy , geography , programming language
A computational methodology dedicated to embankment dam performance assessment has been designed and implemented. The model's inputs are the whole set of available information and data: visual observations, monitoring measurements, calculated data, and documents related to design and construction processes. First, a formal grid is proposed to structure the inputs. It is composed of six fields: name, definition, scale, references as anchorage points on the scale, and spatial and temporal characteristics. Structured inputs are called indicators. Second, an indicator aggregation method is proposed that allows obtaining not only the dam performance but also the assessment of its design and construction practices. The methodology is illustrated mainly with the internal erosion mechanism through the embankment, but results concerning other failure modes are also provided. An application of the method for monitoring dams through time is given.