Hybrid data model for structural health monitoring

Sungkon Kim; Stuart S. Chen

Hybrid data model for structural health monitoring

Sungkon Kim
, Stuart S. Chen

Department of Civil, Structural & Environmental Engineering

Seoul National University

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

A hybrid data model which amalgamates an object-oriented modeling approach and logic programming implementation is presented for health monitoring of instrumented structures. A hybrid knowledge model combining object-oriented and logic approaches is presented for the structural monitoring and diagnosis domain. Domain knowledge in structural monitoring and diagnosis is formalized and represented in a logic-based object-oriented modeling environment. The model and environment have been implemented and illustrated in the context of a laboratory case study of damage detection in a successively damaged steel structure.

Original language	English
Pages	286-293
Number of pages	8
State	Published - 1996
Event	Proceedings of the 1996 12th Conference on Analysis and Computation - Chicago, IL, USA Duration: Apr 15 1996 → Apr 18 1996

Conference

Conference	Proceedings of the 1996 12th Conference on Analysis and Computation
City	Chicago, IL, USA
Period	04/15/96 → 04/18/96

Cite this

@conference{ec1cccf20df348f6b1ab0b38c5b80390,

title = "Hybrid data model for structural health monitoring",

abstract = "A hybrid data model which amalgamates an object-oriented modeling approach and logic programming implementation is presented for health monitoring of instrumented structures. A hybrid knowledge model combining object-oriented and logic approaches is presented for the structural monitoring and diagnosis domain. Domain knowledge in structural monitoring and diagnosis is formalized and represented in a logic-based object-oriented modeling environment. The model and environment have been implemented and illustrated in the context of a laboratory case study of damage detection in a successively damaged steel structure.",

author = "Sungkon Kim and Chen, \{Stuart S.\}",

year = "1996",

language = "English",

pages = "286--293",

note = "Proceedings of the 1996 12th Conference on Analysis and Computation ; Conference date: 15-04-1996 Through 18-04-1996",

}

TY - CONF

T1 - Hybrid data model for structural health monitoring

AU - Kim, Sungkon

AU - Chen, Stuart S.

PY - 1996

Y1 - 1996

N2 - A hybrid data model which amalgamates an object-oriented modeling approach and logic programming implementation is presented for health monitoring of instrumented structures. A hybrid knowledge model combining object-oriented and logic approaches is presented for the structural monitoring and diagnosis domain. Domain knowledge in structural monitoring and diagnosis is formalized and represented in a logic-based object-oriented modeling environment. The model and environment have been implemented and illustrated in the context of a laboratory case study of damage detection in a successively damaged steel structure.

AB - A hybrid data model which amalgamates an object-oriented modeling approach and logic programming implementation is presented for health monitoring of instrumented structures. A hybrid knowledge model combining object-oriented and logic approaches is presented for the structural monitoring and diagnosis domain. Domain knowledge in structural monitoring and diagnosis is formalized and represented in a logic-based object-oriented modeling environment. The model and environment have been implemented and illustrated in the context of a laboratory case study of damage detection in a successively damaged steel structure.

UR - https://www.scopus.com/pages/publications/0029737226

M3 - Paper

AN - SCOPUS:0029737226

SP - 286

EP - 293

T2 - Proceedings of the 1996 12th Conference on Analysis and Computation

Y2 - 15 April 1996 through 18 April 1996

ER -

Hybrid data model for structural health monitoring

Abstract

Conference

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