• norsk
    • English
  • norsk 
    • norsk
    • English
  • Logg inn
Vis innførsel 
  •   Hjem
  • Faculty of Technology, Art and Design
  • TKD - Department of Civil Engineering and Energy Technology
  • Vis innførsel
  •   Hjem
  • Faculty of Technology, Art and Design
  • TKD - Department of Civil Engineering and Energy Technology
  • Vis innførsel
JavaScript is disabled for your browser. Some features of this site may not work without it.

Literature review of masonry structures under earthquake excitation utilizing machine learning algorithms

Plevris, Vagelis; Bakas, Nikos; Markeset, Gro; Bellos, John
Chapter, Peer reviewed
Published version
Thumbnail
Åpne
18688.pdf (1.180Mb)
Permanent lenke
https://hdl.handle.net/10642/5932
Utgivelsesdato
2017
Metadata
Vis full innførsel
Samlinger
  • TKD - Department of Civil Engineering and Energy Technology [219]
Originalversjon
Plevris V, Bakas, Markeset G, Bellos: Literature review of masonry structures under earthquake excitation utilizing machine learning algorithms. In: Papadrakakis M, Fragiadakis M. Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2017) , 2017. European Community on Computional Methods in Applied Sciences (ECCOMAS) p. 2685-2694  
Sammendrag
This work aims to

analyze and

reveal critical features of the papers

published

since

1990

on the topic of masonry structures under earthquake loading. In particular,

detailed

information for

nearly

three thousand papers (exactly 2909) was extracted from the Scopus database

[1],

and investigated in two stages.

Initially, the papers were analyzed in terms of

simple statistics and

keyword time

series –as

either

raw

or

normalized data

–

in order to describe the evolution of the relevant research during the past twenty-seven years

(1990-2016, inclusive)

.

In a second phase, bibliometric maps of the papers were developed, regarding

their similarities with respect to a variety of the papers’ characteristics such as:

author keywords

and

author names

. The resulting diagrams constitute comprehensive maps of the relevant literature, with respect to the associations among the particular characteristics. The

bibliometric maps were constructed based on a rigorous methodology, which converts

each

item (for example, keyword) to a

two

-

dimensional

(x, y)

point on the

bibliometric

map

. These

distances

between items

reflect the dissimilarities

between

them,

for a particular characteristic. The numerical procedure

involved in the construction

of the map is a constrained optimization problem which was formulated and solved with an efficient

methodology
Utgiver
European Community on Computional Methods in Applied Sciences (ECCOMAS)

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit
 

 

Bla i

Hele arkivetDelarkiv og samlingerUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifterDenne samlingenUtgivelsesdatoForfattereTitlerEmneordDokumenttyperTidsskrifter

Min side

Logg inn

Statistikk

Besøksstatistikk

Kontakt oss | Gi tilbakemelding

Personvernerklæring
DSpace software copyright © 2002-2019  DuraSpace

Levert av  Unit