Skip to main content
SpringerLink
Log in

The Optimum Design of High-Rise Building Structure Based on the Strength and Stiffness of Genetic Algorithm

  • Conference paper
  • First Online:
Advances in Swarm and Computational Intelligence (ICSI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9142))

Included in the following conference series:

Abstract

The high-rise building structure have characteristics that multi-operating mode, multivariate, multivariate, multiple constraints and multi-objective, and the characteristics of complex discrete have a great influence on structural strength and stiffness. So this paper built a comprehensive and practical objective function for optimization design of high-rise building structure. This function made the design not only meet the requirement of structure safety and good performance, but also should be make structure is reasonable and material consumption as low as possible to achieve optimal allocation of resources. On this basis, it used genetic algorithm by strict derivation to code variables, and then evolved until the objective function converged to complete the optimization design of strength and stiffness for high-rise building strength. The work put forward a method of quantitative mathematical description for structure optimization design, and has brought considerable economic benefits.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sahaba, M.G., Ashourb, A.F.: ToropovcV.V. Cost optimization of reinforced concrete flat slab buildings. Engineering Structures 27(3), 313–322 (2005)

    Article  Google Scholar 

  2. Kurpati, A., Azarm, S., Wu, J.: Constraint handling improvements for multiobjective genetic algorithms. Structural and Multidisciplinary Optimization 23, 204–213 (2002)

    Article  Google Scholar 

  3. Soibelman, L., Pena-Mora, F.: Distributed Multi-Reasoning Mechanism to Support Conceptual Structural Design. Journal of structural Engineering 126(6), 733–742 (2000)

    Article  Google Scholar 

  4. Gong, Y., Xu, L., Grierson, D.E.: Performance-based desisensitivity analysis of steel moment frames under earthquake loading. J. Numer. Meth. Engng. 63, 1229–1249 (2005)

    Article  MATH  Google Scholar 

  5. Park, H.S., Kwon, J.H.: Optimal drift design model for multi-story buildings subjected to dynamic Lateral forces. Structural Design of Tall Building 12, 317–333 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Shandong Academy of Building Research, JiNan, 250031, China

    Kaike Sun, Shoucai Li, Shihong Chu, Shuhai Zheng & Shuai Guo

Authors
  1. Kaike Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shoucai Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shihong Chu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shuhai Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shuai Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kaike Sun .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Xi'an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Universidade de Pernambuco, Recife, Brazil

    Fernando Buarque

  4. Instituto Politécnico Nacional, Mexico, Mexico

    Alexander Gelbukh

  5. Indian Statistical Institute, Kolkata, India

    Swagatam Das

  6. University of Pretoria, Pretoria, South Africa

    Andries Engelbrecht

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Sun, K., Li, S., Chu, S., Zheng, S., Guo, S. (2015). The Optimum Design of High-Rise Building Structure Based on the Strength and Stiffness of Genetic Algorithm. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9142. Springer, Cham. https://doi.org/10.1007/978-3-319-20469-7_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20469-7_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20468-0

  • Online ISBN: 978-3-319-20469-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation