A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Possibilistic Petri Net Model for Diagnosing Cracks in RC Structures
Abstract: This article proposes a possibilistic Petri net (PPN) model to diagnose cracks in reinforced concrete structures. PPN integrates Petri nets with possibilistic reasoning and maintains the advantages of both formalisms. Two major features of PPN include the possibilistic token to carry information to describe an object and its corresponding possibility and necessity measures, and four types of possibilistic transitions—inference, duplication, aggregation, and aggregation‐duplication. A reasoning algorithm, based on possibilistic Petri nets, is also developed to execute PPN. The PPN model and the reasoning algorithm are further used to diagnose possible causes of cracking in RC structures, and three basic cases are considered to demonstrate the applicability of the approach. The reliability of the results is increased by explaining the diagnostic process through the movement of tokens. Moreover, the confidence level associated with each possible cause of concrete cracking can be used to determine the relevance of the diagnosis.
A Possibilistic Petri Net Model for Diagnosing Cracks in RC Structures
Abstract: This article proposes a possibilistic Petri net (PPN) model to diagnose cracks in reinforced concrete structures. PPN integrates Petri nets with possibilistic reasoning and maintains the advantages of both formalisms. Two major features of PPN include the possibilistic token to carry information to describe an object and its corresponding possibility and necessity measures, and four types of possibilistic transitions—inference, duplication, aggregation, and aggregation‐duplication. A reasoning algorithm, based on possibilistic Petri nets, is also developed to execute PPN. The PPN model and the reasoning algorithm are further used to diagnose possible causes of cracking in RC structures, and three basic cases are considered to demonstrate the applicability of the approach. The reliability of the results is increased by explaining the diagnostic process through the movement of tokens. Moreover, the confidence level associated with each possible cause of concrete cracking can be used to determine the relevance of the diagnosis.
A Possibilistic Petri Net Model for Diagnosing Cracks in RC Structures
Liu, Kevin F. R. (author)
Computer‐Aided Civil and Infrastructure Engineering ; 18 ; 426-439
2003-11-01
14 pages
Article (Journal)
Electronic Resource
English
A Possibilistic Petri Net Model for Diagnosing Cracks in RC Structures
| Online Contents | 2003
Fuzzy Pattern Recognition Model for Diagnosing Cracks in RC Structures
| British Library Online Contents | 1998
Fuzzy Pattern Recognition Model for Diagnosing Cracks in RC Structures
| Online Contents | 1998
A fuzzy diagnostic model for diagnosing cracks in reinforced concrete structures
| Online Contents | 1996