𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A combined genetic and eigensensitivity algorithm for the location of damage in structures

✍ Scribed by M.I. Friswell; J.E.T. Penny; S.D. Garvey


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
256 KB
Volume
69
Category
Article
ISSN
0045-7949

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


An efficient algorithm for the approxima
✍ Joseph J.W. McDouall; Michael A. Robb; F. Bernardi πŸ“‚ Article πŸ“… 1986 πŸ› Elsevier Science 🌐 English βš– 559 KB

An efficient algorithm is presented for the approximate location of a transition structure by finding the minimum of the seam of intersection of two diabatic surfaces. The algorithm is sufficiently stable that the optimization can be started from the product geometry. The procedure is ilhrstrated wi

A regional genetic algorithm for the dis
✍ A. A. Groenwold; N. Stander; J. A. Snyman πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 144 KB πŸ‘ 2 views

A regional genetic algorithm (R-GA) is used for the discrete optimal design of truss structures. The chromosomes are selected from a sub-region centred on the continuous optimum. This approach replaces genetic rebirth as previously proposed by other authors, thereby signiΓΏcantly reducing computation

A CRITIQUE OF LOCATION CRITERIA IN MODAL
✍ J. Brandon πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 101 KB

The topic of structural damage identification is-for good reasons-of topical concern in structural dynamics. Indeed the theme of the 1997 International Modal Analysis Conference (IMAC) is structural damage assessment. The majority of research studies attribute the basic ideas to Cawley and Adams [1]

Structure and spectroscopy of water-fluo
✍ Soumya Ganguly Neogi; Pinaki Chaudhury πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 622 KB

## Abstract In this article, we explore the efficiency of using a coupled genetic algorithm (GA) and density functional theory (DFT) based strategy to evaluate probable structures of (H~2~O)~n~F^βˆ’^ micro‐clusters, with __n__ = 1 βˆ’ 6. We use the stochastic optimization technique of GA to arrive at s