000 -LEADER |
fixed length control field |
a |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20210317124410.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
210309b xxu||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
AIKTC-KRRC |
Transcribing agency |
AIKTC-KRRC |
100 ## - MAIN ENTRY--PERSONAL NAME |
9 (RLIN) |
13632 |
Author |
Jayalekshmi, S |
245 ## - TITLE STATEMENT |
Title |
Empirical Approach for Determining Axial Strength of Circular Concrete Filled Steel Tubular Columns |
250 ## - EDITION STATEMENT |
Volume, Issue number |
Vol,99(2), June |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Kolkata |
Name of publisher, distributor, etc. |
Springer |
Year |
2018 |
300 ## - PHYSICAL DESCRIPTION |
Pagination |
257-268p. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
concrete filled steel tubular (CFST) columns are highly regarded in recent years as an interesting option in the construction field by designers and structural engineers, due to their exquisite structural performance, with enhanced load bearing capacity and energy absorption capacity. This study presents a new approach to simulate the capacity of circular CFST columns under axial loading condition, using a large database of experimental results by applying artificial neural network (ANN). A well trained network is established and is used to simulate the axial capacity of CFST columns. The validation and testing of the ANN is carried out. The current study is focused on proposing a simplified equation that can predict the ultimate strength of the axially loaded columns with high level of accuracy. The predicted results are compared with five existing analytical models which estimate the strength of the CFST column. The ANN-based equation has good prediction with experimental data, when compared with the analytical models. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
4621 |
Topical term or geographic name entry element |
Civil Engineering |
700 ## - ADDED ENTRY--PERSONAL NAME |
9 (RLIN) |
13739 |
Co-Author |
Sankar,Jegadesh J. S. |
773 0# - HOST ITEM ENTRY |
Title |
Journal of the institution of engineers (India): Series A |
Place, publisher, and date of publication |
Switzerland Springer |
International Standard Serial Number |
2250-2149 |
856 ## - ELECTRONIC LOCATION AND ACCESS |
URL |
https://link.springer.com/article/10.1007/s40030-018-0291- |
Link text |
Click Here |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Articles Abstract Database |