Bridge damage assessment through fuzzy Petri net based expert system

被引:22
作者
Chiang, WL [1 ]
Liu, KFR
Lee, J
机构
[1] Natl Cent Univ, Dept Civil Engn, Chungli 32054, Taiwan
[2] Natl Cent Univ, Dept Comp Sci & Informat Engn, Chungli 32054, Taiwan
关键词
D O I
10.1061/(ASCE)0887-3801(2000)14:2(141)
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The reliability of the techniques adopted for damage assessment is important for bridge management systems. It is widely recognized that the use of expert systems for bridge damage assessment is a promising direction toward bridge management systems. However, several important issues need to be addressed, such as the management of uncertainty and imprecision, the efficiency of fuzzy rule based reasoning, and the need of an explanation facility to increase confidence about the assessment results. To address the issues arising from using expert systems, this paper is aimed at developing an expert system for assessing bridges based on an expert system shell, which is called the fuzzy Petri net based expert system (FPNES). Major features of FPNES include the ability to reason using uncertain and imprecise in-formation, knowledge representation through the use of hierarchical fuzzy Petri nets, a reasoning mechanism based on fuzzy Petri nets, and an explanation of the reasoning process through the use of hierarchical fuzzy Petri nets. Therefore, this expert system for assessing bridges does not impose any restriction on the inference mechanism. Furthermore, this approach offers more informative results than other systems. An application to the damage assessment of the Da-Shi bridge in Taiwan is used as an illustrative example of FPNES.
引用
收藏
页码:141 / 149
页数:9
相关论文
共 18 条
[1]  
[Anonymous], 1988, POSSIBILITY THEORY A
[2]   Expert systems as knowledge servers [J].
Eriksson, H .
IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1996, 11 (03) :14-19
[3]  
Furuta H., 1996, Microcomputers in Civil Engineering, V11, P37
[4]   KNOWLEDGE-BASED EXPERT SYSTEM FOR DAMAGE ASSESSMENT BASED ON FUZZY-REASONING [J].
FURUTA, H ;
SHIRAISHI, N ;
UMANO, M ;
KAWAKAMI, K .
COMPUTERS & STRUCTURES, 1991, 40 (01) :137-142
[5]   A RULE-BASED FUZZY-LOGIC DEDUCTION TECHNIQUE FOR DAMAGE ASSESSMENT OF PROTECTIVE STRUCTURES [J].
HADIPRIONO, FC ;
ROSS, TJ .
FUZZY SETS AND SYSTEMS, 1991, 44 (03) :459-468
[6]   INFERENCE PROCEDURES UNDER UNCERTAINTY FOR THE PROBLEM-REDUCTION METHOD [J].
ISHIZUKA, M ;
FU, KS ;
YAO, JTP .
INFORMATION SCIENCES, 1982, 28 (03) :179-206
[7]  
Krauthammer T., 1992, J. Comput. Civil Eng, V6, P417, DOI [10.1061/(ASCE)0887-3801(1992)6:4(417), DOI 10.1061/(ASCE)0887-3801(1992)6:4(417)]
[8]   Development of concrete bridge rating prototype expert system with machine learning [J].
Kushida, M ;
Miyamoto, A ;
Kinoshita, K .
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 1997, 11 (04) :238-247
[9]  
Lee J., 1998, International Journal on Artificial Intelligence Tools (Architectures, Languages, Algorithms), V7, P463, DOI 10.1142/S0218213098000226
[10]   A fuzzy Petri net-based expert system and its application to damage assessment of bridges [J].
Lee, J ;
Liu, KFR ;
Chiang, WL .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1999, 29 (03) :350-370