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| Titel |
Determination of the relationship between soil properties and earthquake damage with the aid of neural networks: a case study in Adapazarı, Turkey |
| VerfasserIn |
E. Bol |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 12, no. 9 ; Nr. 12, no. 9 (2012-09-25), S.2965-2975 |
| Datensatznummer |
250011105
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| Publikation (Nr.) |
 copernicus.org/nhess-12-2965-2012.pdf |
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| Zusammenfassung |
| The building stock in the city of Adapazarı, Turkey, experienced
widespread damage during the 1999 Marmara earthquake. An attempt was made to
relate structural damage to the type of subsoil in this study. The Adapazarı
soil database has been established which contains information on boreholes,
cone penetration and laboratory testing since 1996 and is being updated
continuously. The database has been organised using a geographical
information system software. Several numeric soil profiles across the city
were then taken to establish a back propagation neural network model to
enable the investigator to estimate probable structural damage by referring
to the type of soils at the usual footing embedment depths. Ten cross
sections comprising 140 data each were used to form scanlines of 1400 m
length. The input for the neural networks were the physical, mechanical and
dynamic properties of soils while the resulting damage ratio data formed the
target layer. Feedforward, backward spreading networks were employed in
modelling. Numeric data for eight cross sections were employed for the
learning process, whereas data for two cross sections were used to test the
model. The proposed model was found to predict the damage ratios
successfully. The general evaluation of the city following the earthquake
has shown that the structural damage was minimal in a limited section of the
city where the bedrock outcrops. The damage in the flat areas around the
outcropping rock covered by lacustrine clays of high and intermediate
plasticity was markedly low. However, damage and destruction was obvious in
the central parts of the city where liquefaction and cyclic softening cases
were abundant. |
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