TY - JOUR
T1 - Integrated Information Repository for Risk Assessment of Embankment Dams
T2 - Requirements Identification for Evaluating the Risk of Internal Erosion
AU - Gulgec, Nur Sila
AU - Ergan, Semiha
AU - Akinci, Burcu
AU - Kelly, Christopher J.
PY - 2016
Y1 - 2016
N2 - Dams are continuing to age and deteriorate that affect the service life of the dams in the U.S. Risk assessment is required to understand the behavior of dams and to prioritize the remedial actions and maintenance, and yet it is quite challenging to do risk assessment since it requires extensive current and historical data from in situ instrumentation on dams and detailed design, construction, and operation information. Currently, the required data for risk assessment resides in various paper-based and digital documents that hinder the capabilities of risk assessors to gather, analyze, and visualize the data flexibly from various engineering perspectives such as geotechnical, hydrologic, geologic, and structural. As a result, getting a holistic view of a dam's current condition and its behavior over time becomes a time and resource intensive task. There is a need for an integrated shared knowledge repository for dams to streamline the risk assessment process. The research described in this paper provides requirements for developing such a shared knowledge repository for risk assessment of embankment dams that would support the information needs of various engineering domains and the means and methods for integrated assessment, visualization, and data analytics to understand the risk of internal erosion.
AB - Dams are continuing to age and deteriorate that affect the service life of the dams in the U.S. Risk assessment is required to understand the behavior of dams and to prioritize the remedial actions and maintenance, and yet it is quite challenging to do risk assessment since it requires extensive current and historical data from in situ instrumentation on dams and detailed design, construction, and operation information. Currently, the required data for risk assessment resides in various paper-based and digital documents that hinder the capabilities of risk assessors to gather, analyze, and visualize the data flexibly from various engineering perspectives such as geotechnical, hydrologic, geologic, and structural. As a result, getting a holistic view of a dam's current condition and its behavior over time becomes a time and resource intensive task. There is a need for an integrated shared knowledge repository for dams to streamline the risk assessment process. The research described in this paper provides requirements for developing such a shared knowledge repository for risk assessment of embankment dams that would support the information needs of various engineering domains and the means and methods for integrated assessment, visualization, and data analytics to understand the risk of internal erosion.
KW - Dams
KW - Information modeling
KW - Information requirement
KW - Internal erosion
KW - Risk assessment
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U2 - 10.1061/(ASCE)CP.1943-5487.0000509
DO - 10.1061/(ASCE)CP.1943-5487.0000509
M3 - Article
AN - SCOPUS:84968763950
SN - 0887-3801
VL - 30
JO - Journal of Computing in Civil Engineering
JF - Journal of Computing in Civil Engineering
IS - 3
M1 - 04015038
ER -