Structures Congress 2018
Design Optimization of Shear Wall High-Rise Building Structures
Publication: Structures Congress 2018: Buildings and Disaster Management
ABSTRACT
Design optimization of building structures are usually performed by minimizing an objective function defined as total weight or cost of material. The building code strength requirements or drift limitations are defined as optimization constraints. The violated constraints will be added to the main objective function after adjustment by a weight factor. This objective function is often not differentiable since the violated constraints change at every iteration. Plus, the weight factor that adjust the violated constraint with the main objective function can affect the optimization results and its value may not be reasonably justified or substantiated. In this paper, a new structural design optimization is proposed for shear wall building structures. The objective function for this optimization process is defined based on the estimated demand to capacity ratios of the shear walls. Other design criteria such as drift limits or link beam designs are also considered, but are not directly included in the proposed objective function. By pushing the demand to capacity ratios to the possible highest, the thicknesses of shear wall are reduced. The proposed objective function is derived by assuming a beta distribution for the shear force demand to capacity ratios of the shear walls. Monte Carlo samples are generated to find the maximum of the objective function and for sensitivity analysis. The optimization framework is applied on a 70 story building. The correlation between the proposed objective function and the cost associated with the lateral system is presented. The generated Monte Carlo samples are also used to design the shear wall thickness at different level of conservativeness.
Get full access to this article
View all available purchase options and get full access to this chapter.
ACKNOWLEDGMENT
The author would like to acknowledge Mr. Gregory Benz, Chair of WSP-USA Research Program, and Mr. Steve Borrows for awarding 2017 WSP-USA Research and Innovation Fellowship for this research. The author also acknowledges Mr. Patrick Ragan from WSP Chicago office, Dr. Ahmad Rahimian - Dr Saeed Towfighi - Mr. Fatih Yalniz, - Mr. Kenny Fang from WSP New York City office, Ms. Lisa Talent from WSP Human Resources, and Mr. Yuan Lu from CSI Technical Support for their support. The opinions, findings, and conclusions expressed in this paper are those of the author and do not represent the views of the sponsors or WSP-USA.
REFERENCES
1.
Baker, W. F., Sinn, R. C., Novak, L. C., and Viise, J. R. (2000). “Structural Optimization of 2000-Foot Tall 7 South Dearborn Building”. Advanced Technology in Structural Engineering, 1–8.
2.
Luebkeman, C., and Shea, K. (2005). “Computational design + optimization in building practice.” The ARUP Journal.
3.
Stromberg, L. L., Beghini, A., Baker, W. F., and Paulino, G. H. (2011). “Application of layout and topology optimization using pattern gradation for the conceptual design of buildings”. Structural and Multidisciplinary Optimization, 43(2), 165–180.
4.
Aldwaik, M., and Adeli, H. (2014). “Advances in optimization of highrise building structures”. Structural and Multidisciplinary Optimization, 50(6), 899–919.
5.
Liu, X., Yi, W.-J., Li, Q., and Shen, P.-S. (2008). “Genetic evolutionary structural optimization”. Journal of constructional steel research, 64(3), 305–311.
6.
Hasançebi, O., Çarbaş, S., and Saka, M. P. (2010). “Improving the performance of simulated annealing in structural optimization”. Structural and Multidisciplinary Optimization, 41(2), 189–203.
7.
Chan, C. M., Huang, M. F., and Kwok, K. C. S. (2010). “Integrated wind load analysis and stiffness optimization of tall buildings with 3D modes”. Engineering Structures, 32(5), 1252–1261.
8.
Atabay, Ş. (2009). “Cost optimization of three-dimensional beamless reinforced concrete shear-wall systems via genetic algorithm”. Expert Systems with Applications, 36(2), 3555–3561.
9.
OCP, A. (2017). “Theoritical Background of ACE OCP.” Optimization Computing Platform.
10.
CSI (2016). ETABS 2016, Integrated Building Design Software, Berkeley, CA, USA.
11.
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and Teller, E. (1953). “Equation of state calculations by fast computing machines”. The journal of Chemical Physics, 21(6), 1087–1092.
12.
Hastings, W. K. (1970). “Monte Carlo sampling methods using Markov chains and their applications”. Biometrika, 57(1), 97–109.
13.
MathWorks (2017). MATLAB User’s Guide, MathWorks Inc., Natick, MA.
Information & Authors
Information
Published In
Structures Congress 2018: Buildings and Disaster Management
Pages: 222 - 232
Editor: James Gregory Soules, 1CB&I
ISBN (Online): 978-0-7844-8132-5
Copyright
© 2018 American Society of Civil Engineers.
History
Published online: Apr 17, 2018
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.