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Optimization of concrete structure mixture plan in marine environment using genetic algorithm | ||
| International Journal of Marine Science and Environment | ||
| مقاله 3، دوره 5، شماره 1 - شماره پیاپی 11، فروردین 2015، صفحه 15-21 اصل مقاله (1008.76 K) | ||
| نوع مقاله: marine engineering | ||
| نویسندگان | ||
M. Abdoli1؛ F. Azarsina  2؛ M.H. Givian Rad2
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| 1Department of Marine Structures, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| 2Department of Marine Chemistry, Science and Research Branch, Islamic Azad University, Tehran, Iran | ||
| چکیده | ||
| Today due to increasing development and importance of petroleum activities andmarine transport as well as due to the mining of seabed, building activities such as construction of docks, platforms and structures as those in coastal areas and oceans has increased significantly. Concrete strength as one of the most important necessary parameters for designing, depends on many factors such as mixture plan ofconcrete, concrete forming materials, and curing conditions. Since many of these factors are uncertain and cannot have a specific and accurate formulation for concrete strength, therefore, applying a pre-set mathematical formula roughly predicts the strength of concrete. Inthis research,Genetic algorithm optimization for concrete mix plan is presented. Genetic algorithms are searching algorithms that have been established based on mechanism of natural selection and evolution. These algorithms select the most appropriate strings from organized random data.In every generation, a new group of strings by using the best parts of previous and new accidental sequencewill happen to get a proper answer.First a suitable encoding (or representation) must be found for the problem. The most common representation method of chromosomes in genetic algorithms is in the form of binary strings which is the method used in this study. By iteratingthe computation of marine concrete generation, optimized mix concrete design is achieved.Accordingly, with more detailed information of marine-grade concrete and application of genetic algorithm based on generational leap it can be expected that a new generation of marine concrete will be recoverable | ||
| کلیدواژه‌ها | ||
| compressive strength of concrete؛ Genetic algorithm؛ optimum concrete structures | ||
| مراجع | ||
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ACI, (1991). ACI 211-91: Standard practice for selecting proportions for normal, heavyweight and mass concrete. Farmington Hills, MI, USA: American Concrete Institute.
Adeyemi, O. F.; Modupeola, A. G., (2014). The Effect of Sea Water on Compressive Strength of Concrete. International Journal of Engineering Science Invention, 3(7), 23-31.
Benture, A.; Diamond, S.; Berke, N. S., (1997). Steel corrosion in concrete: fundamentals and civil engineering practice. 1 ed., E & FN Spon.
Bjegovic, D; Miksic, B., (2001). MCI Protection of Concrete. CORTEC CORP. Supplement to Materials Performance, January, 10-13.
Kosmatka, S. H.; Kerkhoff, B.; Panarese, W. C., (2003). Design and Control of Concrete Mixtures. Portland Cement Association.
Koza, J. R., (1992). Genetic programming: on the programming of computers by means of natural selection. MIT press.
Mostofinejad , D.,; Samaeinejad, A., (2001). Prediction of high-performance concrete resistance by using neural networks.Tehran, The first International Conference on Concrete and Development.
Nawy, E. G., (2008). Concrete Construction Engineering Handbook.2 ed. Taylor & Francis Group.
Pryke, A., (2008). The Data Mining. [Online]
Available at: http://www.the-data-mine.com/Software/SPSSClementine
[Accessed 13 03 2017].
Rechenberg, I., (1989). Evolution Strategy: Nature’s Way of Optimization. Optimization: Methods and Applications, Possibilities and Limitations, Volume 47, pp. 106-126.
Saatchi, A., (2008). Corrosion Engineering. 1 ed. Isfahan: University of Isfahan. | ||
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