ai in aec colloquiumai in structural design ai in aec 8/19/20 filippo ranalli, eduardo miranda...

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AI in Structural Design

AI in AEC 8/19/20 Filippo Ranalli, Eduardo Miranda1

AI in AEC ColloquiumAI in Structural Engineering Today

Filippo RanalliPhD Candidate

[email protected]

Eduardo MirandaProfessor

[email protected]

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AI in AEC 8/19/20 Filippo Ranalli, Eduardo Miranda

➢ Introduction to AI and Optimization in Structural Engineering 10 min

➢ AI Methods in Industry Today: Topology Optimization 15 min

➢ AI Methods in Structural Design Research: Design Automation 15 min

➢ The Future of AI in Structural Design: Crane Automation 15 min

➢ Q&A 5 min

2

Overview: AI in Engineering Design

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isarq.com/index.php/2019/08/06/artificial-intelligence/3

Intro: AI in Engineering Design

www.architectmagazine.com

A framework which automates and

optimizes a repetitive design task

traditionally performed by hand,

through computer implementation.

A design software which generates

an optimal solution which may not

be computed using traditional

calculation methodologies.

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Intro: What is AI?

Stanford CS 221 notes

youtu.be/pgaEE27nsQwstaff.utia.cas.cz/vomlel

en.wikipedia.org

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Intro: What is Optimization?

ocw.mit.edu/

Initialize design x0

Evaluate objective f(x)

and constraints g(x), h(x)

Try new design x

f(x) may not improve

further and constraints

are met

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The Objective – f(x)

- Minimize total installed cost

The Design Task – x

- Member shapes

- Member sizes

- Connection detailing

The Constraints – g(x), h(x)

- Architectural

• Aesthetics

• Program

- Functionality

- Structural

• Strength

• Stiffness

• Constructability

• Ductility

6

Intro: The Structural Design Problem

Building Structure

BIM: Architectural Starting Point

www.goldbeck.de

www.goldbeck.de

youtu.be/pgaEE27nsQw

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7

Intro: Structural Engineering in Current Practice

- Cost

- Weight

- Stiffness

- Serviceability

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❑ Complex multivariate domain is

difficult to sample manually.

❑ Issues with constructability are

hard to detect.❑ Incorrect cost estimation to drive

the design, or lack thereof.

www.aisc.orgHighly-dimensional

Highly-constrained

Non-convex

mc.ai/

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Construction

Planning

9

Architecture Structural Design

www.alicetechnologies.com/www.tekla.com/uswww.revit.news/


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AI Methods in Industry Today: Topology Optimization

youtu.be/0_VBPhoLRwIAmeba Topology Optimization Software Based on Evolutionary Algorithm in Grasshopper

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CHICAGO 800 WEST FULTON MARKET 2021

www.som.com en.wikipedia.org www.archdaily.com

BEIJING INTERNATIONAL PLAZA 2016

www.som.com

11

SHENZHEN CITIC FINANCIAL CENTER 2019

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www.3ds.com

Aage, Andreassen, Lazarov, Sigmund, Nature, 2017ce.gatech.eduShelly Zhang, GA Tech PhD: youtu.be/3_pSWvqK0G0

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H. Chi, A. Pereira, I. Menezes, G H. Paulino 2019

Objective: minimize volume, maximize stiffness

Constraints: boundary and material

Variables: binary removal of finite elements

caendkoelsch.wordpress.com 11

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11

A. Martin, G. Deierlein, Topology Optimization of Rocking Braced Frames for Nonlinear Earthquake Response

Concrete shear wallConcrete additive manufacturing

www.iaacblog.com/

M

M

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What are the practical limitations of this technology today?

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Member Sizing

❑ Strength

❑ Stiffness

Connection Detailing

❑ Strength

AI Methods in Structural Design Research

http://www.seismicresilience.org.nz/

docplayer.net/

www.trimble.com/

www.goldbeck.de

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Fabrication Cost

❑ Equipment at shop

❑ Labor at shop

Erection Cost

❑ Equipment at site

❑ Labor at siteMaterial Cost

www.linkedin.com/learning/

rockymountainsteel.com/abmetalfabrication.com/

vasteelerectors.com/


www.goldbeck.de

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AI in AEC 8/19/20 Filippo Ranalli, Eduardo Miranda19Floor Plan

Lateral System

(beams, columns, braces)


Connections

Composite Gravity System

(beams, girders, columns, slab)www.strongtie.com

AISC 360

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Composite Gravity System

20

Design Variables: Beam section, studs, camber, deck geometry, concrete type

Constraints: Vertical deflection, beam strength, vibration

Decision Parameter: Cost, weight, schedule, constructability

Approach: Dynamic programming


AISC 360

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Lateral System

21

Design Variables: Beam and column sections, composite action

Constraints: Lateral building drifts, beam/column strength

Decision Parameter: Cost, constructability, schedule, ductility

Approach: Heuristic energy-based algorithm


FM

Ductility Constructability Scenario exploration

www.indiamart.com

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Design Variables: Bolts, welds, plate, cope

Constraints: Connection ultimate strength

Decision Parameter: Cost, constructability

Approach: Non-linear solver


Connections

eng.ccs.gr/

en.wikiversity.org/wiki/Python

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23

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24

Metrics Baseline Design Optimization Difference

Total Weight of Steel [tons] 803.6 702.4 -13%

Shear Studs 17946 7524 -58%

Cambered Elements 362 211 -42%

Total Cost [$] 2,732,276 2,365,806 -13%

Design Time Weeks < 1 hour

Non-Composite Gravity

Composite Gravity

Moment Frame


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medium.com www.cnbc.com

heritagecarinsurance.co.uk www.pinterest.com www.cars.com

Innovative Prototype Early Adopter Widespread Adopter

www.som.com

ai in aec colloquiumai in structural design ai in aec 8/19/20 filippo ranalli, eduardo miranda...

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