Shear wall layout optimization for conceptual design of tall buildings. (1st June 2017)
- Record Type:
- Journal Article
- Title:
- Shear wall layout optimization for conceptual design of tall buildings. (1st June 2017)
- Main Title:
- Shear wall layout optimization for conceptual design of tall buildings
- Authors:
- Zhang, Yu
Mueller, Caitlin - Abstract:
- Highlights: Computational design reduces trial-and-error process, and is more likely to lead to the best solution. Reinforced concrete design for irregularly-configured structural walls is not stated in the design codes. Evolutionary algorithm can be modified with directional breeding process for advantageous features. The system is beneficial for both architects and engineers, during and after the design of floorplan. Computational cost can be reduced by pre-calculating, classifying, and storing design data. Abstract: In the design of tall buildings, the lateral system that resists wind and seismic loading usually dominates the structural engineering effort; therefore, optimal lateral system design is important for material efficiency. In a shear-wall-based building, the conventional design process starts with an architect generating a floor plan, which is then passed to a structural engineer, who, based on knowledge and prior experience, tries to place shear walls to balance conflicting requirements: minimum structural weight, satisfactory structural strength and serviceability, conformity to architectural layout. This design process can be slow and inefficient, requiring a trial-and-error approach that is unlikely to lead to the best solution. The work presented in this paper intends to accelerate the process with an optimization system involving a ground structure program formulation, a modified evolutionary algorithm, and innovative computational techniques. UnlikeHighlights: Computational design reduces trial-and-error process, and is more likely to lead to the best solution. Reinforced concrete design for irregularly-configured structural walls is not stated in the design codes. Evolutionary algorithm can be modified with directional breeding process for advantageous features. The system is beneficial for both architects and engineers, during and after the design of floorplan. Computational cost can be reduced by pre-calculating, classifying, and storing design data. Abstract: In the design of tall buildings, the lateral system that resists wind and seismic loading usually dominates the structural engineering effort; therefore, optimal lateral system design is important for material efficiency. In a shear-wall-based building, the conventional design process starts with an architect generating a floor plan, which is then passed to a structural engineer, who, based on knowledge and prior experience, tries to place shear walls to balance conflicting requirements: minimum structural weight, satisfactory structural strength and serviceability, conformity to architectural layout. This design process can be slow and inefficient, requiring a trial-and-error approach that is unlikely to lead to the best solution. The work presented in this paper intends to accelerate the process with an optimization system involving a ground structure program formulation, a modified evolutionary algorithm, and innovative computational techniques. Unlike existing work that focuses either exclusively on structural performance or architectural layout, this research integrates both. An efficient computational design methodology for shear wall layout in plan is introduced. The method minimizes structural weight with constraints on torsion, flexural strength, shear strength, drift, and openings and accessibility. It can be applied from the very beginning of floor plan design or after generating an architectural floor plan. This paper demonstrates the potential of this approach through a variety of case studies. Key contributions include a novel application of the ground structure method, a fast and robust modified evolutionary algorithm, and a simplified auto-calculation system for reinforced concrete design. … (more)
- Is Part Of:
- Engineering structures. Volume 140(2017:Jun. 01)
- Journal:
- Engineering structures
- Issue:
- Volume 140(2017:Jun. 01)
- Issue Display:
- Volume 140 (2017)
- Year:
- 2017
- Volume:
- 140
- Issue Sort Value:
- 2017-0140-0000-0000
- Page Start:
- 225
- Page End:
- 240
- Publication Date:
- 2017-06-01
- Subjects:
- Conceptual structural design -- Structural optimization -- Topology optimization -- Shear wall design -- Reinforced concrete
Structural engineering -- Periodicals
Structural analysis (Engineering) -- Periodicals
Construction, Technique de la -- Périodiques
Génie parasismique -- Périodiques
Pression du vent -- Périodiques
Earthquake engineering
Structural engineering
Wind-pressure
Periodicals
624.105 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01410296 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.engstruct.2017.02.059 ↗
- Languages:
- English
- ISSNs:
- 0141-0296
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3770.032000
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