مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

486
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

309
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

COST AND CO2 EMISSION OPTIMIZATION OF REINFORCED CONCRETE FRAMES USING ENHANCED COLLIDING BODIES ALGORITHM

Pages

  831-858

Abstract

 This paper investigates discrete design optimization of REINFORCEMENT CONCRETE FRAMES using the recently developed meta-heuristic called ENHANCED COLLIDING BODIES OPTIMIZATION (ECBO) and the Non-dominated Sorting ENHANCED COLLIDING BODIES OPTIMIZATION (NSECBO) algorithm. The objective function of algorithms consists of construction material costs of reinforced concrete structural elements and carbon dioxide (CO2) emissions through different phases of a building life cycle that meets the standards and requirements of the American Concrete Institute’s Building Code. The proposed method uses predetermined section database (DB) for design variables that are taken as the area of steel and the geometry of cross-sections of beams and columns. A number of benchmark test problems are optimized to verify the good performance of this methodology. The use of ECBO algorithm for designing reinforced concrete frames indicates an improvement in the computational efficiency over the designs performed by Big Bang-Big Crunch (BB-BC) algorithm. The analysis also reveals that the two objective functions are quite relevant and designs focused on mitigating CO2 emissions could be achieved at an acceptable cost increment in practice. Pareto results of the NSECBO algorithm indicate that both objective yield similar solutions.

Multimedia

  • No record.
  • Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    KAVEH, A., & ARDALANI, SH.. (2016). COST AND CO2 EMISSION OPTIMIZATION OF REINFORCED CONCRETE FRAMES USING ENHANCED COLLIDING BODIES ALGORITHM. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), 17(6), 831-858. SID. https://sid.ir/paper/299199/en

    Vancouver: Copy

    KAVEH A., ARDALANI SH.. COST AND CO2 EMISSION OPTIMIZATION OF REINFORCED CONCRETE FRAMES USING ENHANCED COLLIDING BODIES ALGORITHM. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING)[Internet]. 2016;17(6):831-858. Available from: https://sid.ir/paper/299199/en

    IEEE: Copy

    A. KAVEH, and SH. ARDALANI, “COST AND CO2 EMISSION OPTIMIZATION OF REINFORCED CONCRETE FRAMES USING ENHANCED COLLIDING BODIES ALGORITHM,” ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), vol. 17, no. 6, pp. 831–858, 2016, [Online]. Available: https://sid.ir/paper/299199/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button