Genetic algorithms for nondestructive testing in crack identification

Conference · Tue Nov 01 00:00:00 EST 1994 · IEEE Transactions on Magnetics (Institute of Electrical and Electronics Engineers); (United States)

OSTI ID:6655436

Arkadan, A A; Sareen, T; Subramaniam, S ^[1]

---

1. Marquette Univ., Milwaukee, WI (United States). Dept. of Electrical and Computer Engineering

A method to identify the nature of a crack on the surface of a region using nondestructive testing (NDT) and inverse problem methodology is presented. A genetic algorithm (GA) based approach, which involves a global search to avoid local minima, is presented and applied to solve the inverse problem of identifying the position, shape and the orientation of a surface crack. A fine tuning algorithm is combined with the GA to reach the optimum solution.

• OSTI ID: 6655436
• Report Number(s): CONF-940629-; CODEN: IEMGAQ
• Journal Information: IEEE Transactions on Magnetics (Institute of Electrical and Electronics Engineers); (United States), Vol. 30:6Pt1; Conference: Intermag: 6th joint conference on magnetism and magnetic materials, Albuquerque, NM (United States), 20-23 Jun 1994; ISSN 0018-9464
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
36 MATERIALS SCIENCE
NONDESTRUCTIVE TESTING
ALGORITHMS
STEELS
CRACKS
DETECTION
STOCHASTIC PROCESSES
ALLOYS
IRON ALLOYS
IRON BASE ALLOYS
MATERIALS TESTING
MATHEMATICAL LOGIC
TESTING
420500* - Engineering- Materials Testing
360103 - Metals & Alloys- Mechanical Properties