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Copyright 2018 Multidisciplinary Optimization of Steel Structures for Cost 1 A Multidisciplinary Method to Optimize the Structural and Connection Design of Conventional Steel Structures for Cost Filippo Ranalli Research Assistant, PhD Eduardo Miranda Professor Martin Fischer Professor Ram Rajagopal Professor
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A Multidisciplinary Method to Optimize the Structural and ... · MDO Design. Difference: Total Weight of Steel (kg) 23411 13644 -42%: Number of Connections. 813: 803 -1%. Number of

May 09, 2020

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Page 1: A Multidisciplinary Method to Optimize the Structural and ... · MDO Design. Difference: Total Weight of Steel (kg) 23411 13644 -42%: Number of Connections. 813: 803 -1%. Number of

Copyright 2018

Multidisciplinary Optimization of Steel Structures for Cost

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A Multidisciplinary Method to Optimize the Structural and Connection Design of Conventional Steel Structures for Cost

Filippo RanalliResearch Assistant, PhD

Eduardo MirandaProfessor

Martin FischerProfessor

Ram RajagopalProfessor

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Copyright 2018

Multidisciplinary Optimization of Steel Structures for Cost

Construction Planning

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Building Envelopes and

EnergyStructure and

Detailing

Optimization In the Three Phases of Design

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Multidisciplinary Optimization of Steel Structures for Cost

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Structure and Detailing

When structural optimization is performed,weight is directly associated to cost

Design optimization is not the industry standard for conventional structures

Optimal solutions are hard to find manually

Constructability is often not accounted for in the design phase

Pitfalls of the Standard Practice

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Multidisciplinary Optimization of Steel Structures for Cost

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Research Questions

1. How can data-driven cost estimates coupled with a detailing engine drive the member sizing and lateral system optimization towards a minimum-cost solution?

2. How can member sizing for strength and stiffness be achieved across multiple load cases to meet all AISC requirements, while minimizing for cost?

3. How can stochastic exploration of the lateral systems help find better designs?

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Multidisciplinary Optimization of Steel Structures for Cost

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The Design Space The Final Structure

MDO Software• Sizing• Topology

The Original Structure

MDO: Case Study Overview

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Multidisciplinary Optimization of Steel Structures for Cost

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Metrics Baseline Design MDO Design Difference

Total Weight of Steel (kg) 23411 13644 -42%

Number of Connections 813 803 -1%

Number of Unique Connection Details 17 9 -47%

MDO: Case Study Results

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Multidisciplinary Optimization of Steel Structures for Cost

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Sizing Strength Stiffness

Detailing Connections Splices

Constructability

Topology Lateral System

Proposed Functionality: Overview

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Research approachMember Sizing OptimizationFormat: Journal paperExpected Submittal: February - March 2019Overview: Automated sizing for drift and strength using anenergy-based algorithm, designing across multiple load casesfor a conventional steel building.

Tasks:• Improve and extend current strength and stiffness algorithm,generalizing it to conventional building structures of largerscales.• Include inter-story drifts as constraints.• Account for composite and semi-composite floors in thegravity system.• Model more in-depth seismic analyses, such as the modalresponse spectrum approach.• Develop/refine appropriate heuristic fabrication and erectioncost model for steel, connections and slabs.• Apply to full-scale 4-storey moment frame case study (DPRConstruction, San Diego). The scale is around 5k frameelements, with composite slabs, and seismic & wind governingload combinations.

Expected Results: Automated sizing engine can find solutionsthat are compliant with strength and stiffness for all the loadcombinations, and minimal in terms of member weight, depth orweld area.

DPR Construction San Diego Case Studies

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Sizing Vertical & Lateral System of a Real Building

Floor Plan

Moment Frame

Composite Floor System

Gravity System

DecoupledCoupled

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Multidisciplinary Optimization of Steel Structures for Cost

Composite Floor System

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Sizing Vertical & Lateral System of a Real Building

Gravity System

Step 1:• Assemble accurate analytical model of the full building.• Optimize composite beams for given gravity loads prior to

running the analysis.

Step 2:• Size each individual column of the gravity system based on

loads transmitted by composite slabs, also prior to running the analysis.

Pre-AnalysisOptimization

Moment Frame

Step 3:• Optimize moment frame sizes by running the analysis on the

full scale model with gravity system and composite beams from Steps 1, 2.

Post-AnalysisOptimization

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Multidisciplinary Optimization of Steel Structures for Cost

Moment Frame

Composite Floor System

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Sizing Vertical & Lateral System of a Real Building

Gravity System

Variables: Beam size, number of studs (% of composite action), camberConstraints: Vertical deflection, beam strengthObjective: Minimum cost (structural steel + studs + labor)Approach: Exhaustive search

Variables: Column size, column splicesConstraints: Column strengthObjective: Minimum weight or member cost-driver (structural steel)Approach: Exhaustive search

Variables: Beam and column sizes, composite or non-composite beamsConstraints: Lateral building deflections, beam/column strengthObjective: Minimum weight or member cost-driver (structural steel)Approach: Energy-based envelope across load combinations

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Multidisciplinary Optimization of Steel Structures for Cost

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Fabrication Cost Equipment at shop Labor at shop

Erection Cost Equipment at site Labor at site

Material Cost

Next Steps: Cost-Detailing Feedback

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Multidisciplinary Optimization of Steel Structures for Cost

Thank you

Questions?