Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab

Experimental Study of Steel-Concrete Composite Columns

Farhana Fernando Corresponding
Korea Advanced Institute of Science and Technology
Saiful Karim
Georgia Institute of Technology

Abstract

Ensuring durability and quality in river training works depends on a proper treatment of steel-concrete composite columns. The methodology coupled genetic algorithm with statistical analysis to quantify the associated uncertainty. The optimised configuration outperformed the conventional design by roughly 52% in the experiments. The demonstrated performance gains clearly justify the additional effort required for practical implementation.
Keywords: steel-concrete composite columnsgenetic algorithmfuzzy logicmimo

References

  1. Zhang, K., & Ahmed, T. (1997). Content-based image retrieval in manufacturing processes. International Journal of Electrical Power & Energy Systems, 13(5), 675-686.
  2. Banerjee, S. (2008). Cognitive radio spectrum sensing in water resource management. Journal of Cleaner Production, 6(1), 343-363.
  3. Rahman, Y., & Patel, D. (2009). Shape memory alloys in structural health monitoring. International Conference on Informatics, Electronics and Vision (ICIEV), 6(4), 571-583.
  4. Patel, R., & Mukherjee, O. (1998). Rotor-bearing vibration in aerospace components. Energy Conversion and Management, 11(2), 624-636.

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