๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

XFEM-based crack detection scheme using a genetic algorithm

โœ Scribed by Daniel Rabinovich; Dan Givoli; Shmuel Vigdergauz


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
417 KB
Volume
71
Category
Article
ISSN
0029-5981

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Flaw detection in sandwich plates based
โœ G.R. Liu; S.C. Chen ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 174 KB

An inverse identiยฎcation technique is proposed to assess the presence, location, size and degree of ยฏaw in the core layer of sandwich plates. The time-harmonic response of the sandwich plates is used as the input for inverse analysis. The responses of the plates in forward analysis are predicted usi

RETRACTED: Using genetic algorithms to d
โœ Yongyong He; Dan Guo; Fulei Chu ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 218 KB

Shaft crack is a very dangerous and frequent fault in rotating machine, but how to locate and conยฎgure it is just an inverse problem and not easy to tackle. In this paper, a genetic algorithm-based method for shaft crack detection is proposed and described, which formulates the shaft crack detection

STRUCTURAL DAMAGE DETECTION BASED ON A M
โœ F.T.K. AU; Y.S. CHENG; L.G. THAM; Z.Z. BAI ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 151 KB

This paper describes a procedure for detecting structural damage based on a microgenetic algorithm using incomplete and noisy modal test data. As the number of sensors used to measure modal data is normally small when compared with the degrees of freedom of the finite element model of the structure,

Synchronous machine parameters estimatio
โœ Khaled M. El-Naggar; Hosam K. M. Youssef ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 103 KB ๐Ÿ‘ 2 views

A new genetic-based algorithm (GA) for estimating synchronous machine parameters from frequency tests is presented in this paper. GAs are general search techniques based on biological concepts and are very suitable for solving optimization problems. The proposed method uses a set of digital measurem