Material Price Enfluence on the Optimum Design of Different Structural Members

Salim Tayeb Yousif; Rabi Muyad Najem

doi:doi:10.11648/j.ajce.20170506.13

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Material Price Enfluence on the Optimum Design of Different Structural Members

Salim Tayeb Yousif, Rabi Muyad Najem

Received: 25 August 2017 Accepted: 7 September 2017 Published: 13 October 2017

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Abstract

This study presents the application of Genetic Algorithms (GAs) for the optimum cost design of reinforced concrete beams and columns based on the standard specifications of the American Concrete Institute (ACI 318-11). The produced optimization procedure satisfies the strength, serviceability, ductility, durability, and other constraints related to good design and detailing practice. While most of the approaches reported in this field have considered steel reinforcement only or cross-sectional dimensions of the members as design variables and for the flexural aspect in general, the dimensions and reinforcing steel in this study were introduced as design variables, considering the axial, flexural, shear, and torsion effects on the members. The aim of this study is to find the effect of material’s price on the optimum cost of beams and columns according to the local market using the GAs, by limiting the design procedure with many constraints that control the optimum design variables to a certain limits. It was found that the Genetic Algorithms is a sufficient method for finding the optimum solution smoothly and flawless with many complicated constraints. Also, increasing the applied torsion on a beam section with a constant cost ratio r will increase the optimum cost by about 3.8%.

DOI	10.11648/j.ajce.20170506.13
Published in	American Journal of Civil Engineering (Volume 5, Issue 6, November 2017)
Page(s)	331-338
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Optimum Design, Genetic Algorithms, Material Price, Concrete Design, Optimum Cost

References

[1]	Govindaraj V. and Ramasamy J. V., 2005, “Optimum Detailed Design of Reinforced Concrete Continuous Beams Using Genetic Algorithm”, Computers and Structures, No. 84, pp. 34 – 48.
[2]	Sahab M. G., 2008, “Sensitivity of The Optimum Design of Reinforced Concrete Flat Slab Buildings to The Unit Cost Components And Characteristic Material Strengths”, Asian Journal of Civil Engineering ( Building and Housing ), Vol. 9, No. 5, pp. 487 – 503.
[3]	Awad Z. K., Arvinthan T., Zhuge Y. and Conzalea F., 2012, “A Review of Optimization Techniques Used in The Design of Fiber Composite Structures For Civil Engineering Applications”, Materials And Design, No. 33, pp. 534 – 544.
[4]	Building Code Requirements for Structural Concrete (ACI 318 M–11), Reported by ACI Committee 318.
[5]	Adeli H. and Sarma K. C., 2006, “Cost Optimization of Structures”, John Wiley & Sons Ltd.
[6]	Wight J. K. and MacGregor J. G., 2009, “Reinforced Concrete – Mechanics And Design”, Fifth Edition, Pearson Education Inc.
[7]	Najem, Rabi’ M. and Yousif, Salim T., 2015, “Optimum Structural Cost: A Genetic Algorithms Approach”, Scholar’s Press, Deutschland, Germany.
[8]	Global Optimization Tool Box 3, 2010, “User’s Guide”, The Math Works Inc.
[9]	Wight, James K. and MacGregor, James G, 2009, “Reinforced Concrete: Mechanics And Design”, Fifth Edition, Pearson Education Hall.
[10]	Hassoun, M. Nadim and Al – Manaseer, Akthem, 2008, “Structural Concrete: Theory And Design”, Fourth Edition, John Wiley & Sons.

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APA Style

Salim Tayeb Yousif, Rabi Muyad Najem. (2017). Material Price Enfluence on the Optimum Design of Different Structural Members. American Journal of Civil Engineering, 5(6), 331-338. https://doi.org/10.11648/j.ajce.20170506.13

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ACS Style

Salim Tayeb Yousif; Rabi Muyad Najem. Material Price Enfluence on the Optimum Design of Different Structural Members. Am. J. Civ. Eng. 2017, 5(6), 331-338. doi: 10.11648/j.ajce.20170506.13

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AMA Style

Salim Tayeb Yousif, Rabi Muyad Najem. Material Price Enfluence on the Optimum Design of Different Structural Members. Am J Civ Eng. 2017;5(6):331-338. doi: 10.11648/j.ajce.20170506.13

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@article{10.11648/j.ajce.20170506.13,
  author = {Salim Tayeb Yousif and Rabi Muyad Najem},
  title = {Material Price Enfluence on the Optimum Design of Different Structural Members},
  journal = {American Journal of Civil Engineering},
  volume = {5},
  number = {6},
  pages = {331-338},
  doi = {10.11648/j.ajce.20170506.13},
  url = {https://doi.org/10.11648/j.ajce.20170506.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20170506.13},
  abstract = {This study presents the application of Genetic Algorithms (GAs) for the optimum cost design of reinforced concrete beams and columns based on the standard specifications of the American Concrete Institute (ACI 318-11). The produced optimization procedure satisfies the strength, serviceability, ductility, durability, and other constraints related to good design and detailing practice. While most of the approaches reported in this field have considered steel reinforcement only or cross-sectional dimensions of the members as design variables and for the flexural aspect in general, the dimensions and reinforcing steel in this study were introduced as design variables, considering the axial, flexural, shear, and torsion effects on the members. The aim of this study is to find the effect of material’s price on the optimum cost of beams and columns according to the local market using the GAs, by limiting the design procedure with many constraints that control the optimum design variables to a certain limits. It was found that the Genetic Algorithms is a sufficient method for finding the optimum solution smoothly and flawless with many complicated constraints. Also, increasing the applied torsion on a beam section with a constant cost ratio r will increase the optimum cost by about 3.8%.},
 year = {2017}
}

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TY  - JOUR
T1  - Material Price Enfluence on the Optimum Design of Different Structural Members
AU  - Salim Tayeb Yousif
AU  - Rabi Muyad Najem
Y1  - 2017/10/13
PY  - 2017
N1  - https://doi.org/10.11648/j.ajce.20170506.13
DO  - 10.11648/j.ajce.20170506.13
T2  - American Journal of Civil Engineering
JF  - American Journal of Civil Engineering
JO  - American Journal of Civil Engineering
SP  - 331
EP  - 338
PB  - Science Publishing Group
SN  - 2330-8737
UR  - https://doi.org/10.11648/j.ajce.20170506.13
AB  - This study presents the application of Genetic Algorithms (GAs) for the optimum cost design of reinforced concrete beams and columns based on the standard specifications of the American Concrete Institute (ACI 318-11). The produced optimization procedure satisfies the strength, serviceability, ductility, durability, and other constraints related to good design and detailing practice. While most of the approaches reported in this field have considered steel reinforcement only or cross-sectional dimensions of the members as design variables and for the flexural aspect in general, the dimensions and reinforcing steel in this study were introduced as design variables, considering the axial, flexural, shear, and torsion effects on the members. The aim of this study is to find the effect of material’s price on the optimum cost of beams and columns according to the local market using the GAs, by limiting the design procedure with many constraints that control the optimum design variables to a certain limits. It was found that the Genetic Algorithms is a sufficient method for finding the optimum solution smoothly and flawless with many complicated constraints. Also, increasing the applied torsion on a beam section with a constant cost ratio r will increase the optimum cost by about 3.8%.
VL  - 5
IS  - 6
ER  -

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Author Information

Salim Tayeb Yousif

Civil Engineering Department, Engineering College, Isra University, Amman, Jordan
Rabi Muyad Najem

Civil Engineering Department, Engineering College, Mosul University, Mosul, Iraq

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APA Style

Salim Tayeb Yousif, Rabi Muyad Najem. (2017). Material Price Enfluence on the Optimum Design of Different Structural Members. American Journal of Civil Engineering, 5(6), 331-338. https://doi.org/10.11648/j.ajce.20170506.13

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ACS Style

Salim Tayeb Yousif; Rabi Muyad Najem. Material Price Enfluence on the Optimum Design of Different Structural Members. Am. J. Civ. Eng. 2017, 5(6), 331-338. doi: 10.11648/j.ajce.20170506.13

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AMA Style

Salim Tayeb Yousif, Rabi Muyad Najem. Material Price Enfluence on the Optimum Design of Different Structural Members. Am J Civ Eng. 2017;5(6):331-338. doi: 10.11648/j.ajce.20170506.13

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@article{10.11648/j.ajce.20170506.13,
  author = {Salim Tayeb Yousif and Rabi Muyad Najem},
  title = {Material Price Enfluence on the Optimum Design of Different Structural Members},
  journal = {American Journal of Civil Engineering},
  volume = {5},
  number = {6},
  pages = {331-338},
  doi = {10.11648/j.ajce.20170506.13},
  url = {https://doi.org/10.11648/j.ajce.20170506.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20170506.13},
  abstract = {This study presents the application of Genetic Algorithms (GAs) for the optimum cost design of reinforced concrete beams and columns based on the standard specifications of the American Concrete Institute (ACI 318-11). The produced optimization procedure satisfies the strength, serviceability, ductility, durability, and other constraints related to good design and detailing practice. While most of the approaches reported in this field have considered steel reinforcement only or cross-sectional dimensions of the members as design variables and for the flexural aspect in general, the dimensions and reinforcing steel in this study were introduced as design variables, considering the axial, flexural, shear, and torsion effects on the members. The aim of this study is to find the effect of material’s price on the optimum cost of beams and columns according to the local market using the GAs, by limiting the design procedure with many constraints that control the optimum design variables to a certain limits. It was found that the Genetic Algorithms is a sufficient method for finding the optimum solution smoothly and flawless with many complicated constraints. Also, increasing the applied torsion on a beam section with a constant cost ratio r will increase the optimum cost by about 3.8%.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Material Price Enfluence on the Optimum Design of Different Structural Members
AU  - Salim Tayeb Yousif
AU  - Rabi Muyad Najem
Y1  - 2017/10/13
PY  - 2017
N1  - https://doi.org/10.11648/j.ajce.20170506.13
DO  - 10.11648/j.ajce.20170506.13
T2  - American Journal of Civil Engineering
JF  - American Journal of Civil Engineering
JO  - American Journal of Civil Engineering
SP  - 331
EP  - 338
PB  - Science Publishing Group
SN  - 2330-8737
UR  - https://doi.org/10.11648/j.ajce.20170506.13
AB  - This study presents the application of Genetic Algorithms (GAs) for the optimum cost design of reinforced concrete beams and columns based on the standard specifications of the American Concrete Institute (ACI 318-11). The produced optimization procedure satisfies the strength, serviceability, ductility, durability, and other constraints related to good design and detailing practice. While most of the approaches reported in this field have considered steel reinforcement only or cross-sectional dimensions of the members as design variables and for the flexural aspect in general, the dimensions and reinforcing steel in this study were introduced as design variables, considering the axial, flexural, shear, and torsion effects on the members. The aim of this study is to find the effect of material’s price on the optimum cost of beams and columns according to the local market using the GAs, by limiting the design procedure with many constraints that control the optimum design variables to a certain limits. It was found that the Genetic Algorithms is a sufficient method for finding the optimum solution smoothly and flawless with many complicated constraints. Also, increasing the applied torsion on a beam section with a constant cost ratio r will increase the optimum cost by about 3.8%.
VL  - 5
IS  - 6
ER  -

Copy | Download