Validating a Simulex Model Brian Thompson, P.E. AEGIS Engineering - - PowerPoint PPT Presentation

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Validating a Simulex Model Brian Thompson, P.E. AEGIS Engineering - - PowerPoint PPT Presentation

Validating a Simulex Model Brian Thompson, P.E. AEGIS Engineering Considerations Evacuation conditions Validation of software Simulex algorithm Selection of occupants Construction of geometry In practice 2 Evacuation


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Validating a Simulex Model

Brian Thompson, P.E. AEGIS Engineering

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Considerations

▪ Evacuation conditions ▪ Validation of software ▪ Simulex algorithm ▪ Selection of occupants ▪ Construction of geometry ▪ In practice

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Evacuation Conditions

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Simulation Parameters

▪ Occupants accounted for ▪ Environmental conditions ▪ Movement characteristics

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Occupant Accounting

▪ Partial Evacuation ▪ Full Evacuation

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Model Environment

▪ Smoke-free ▪ Accumulating smoke layer ▪ Near tenability threshold

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State-of-Mind

▪ Laissez-faire/flippant ▪ Intentional/reasoned ▪ Frightened/panicked

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Validation of Software

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Partial Behavioral

▪ Rates of body twist ▪ Acceleration/deceleration ▪ Speed fluctuations ▪ Inter-person distance

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Validation Tests

▪ Department stores ▪ Office buildings ▪ Lecture theatres ▪ Sports stadia egress areas ▪ University buildings ▪ Mock-up building geometries

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Lecture Theatre

▪ 1-story + intermediate floor ▪ 278 occupants ▪ Simulex travel time: 93 sec. ▪ Actual travel time: 90 sec. ▪ IBC (93 x 1.5) = 140 sec.

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Law School

▪ 5-story ▪ 494 occupants ▪ Simulex travel time: 161 sec. ▪ Actual travel time: 170 sec. ▪ IBC (161 x 1.5) = 242 sec.

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Business School

▪ 8-story ▪ 716 occupants ▪ Simulex travel time: 178 sec. ▪ Actual travel time: 220 sec. ▪ IBC (178 x 1.5) = 267 sec.

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Simulex Algorithm

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Operations

▪ Evaluates building geometry ▪ Creates “distance map” ▪ Preset occupant population ▪ Occupants follow shortest path

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Distance Map

▪ Travel distance isolines ▪ Geometry gaps

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Occupant Travel

▪ Aligned with distance map ▪ Perpendicular to isolines ▪ Inability to get unstuck

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Occupant Population

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Population Group

▪ Body size variable ▪ Speed 0.8 - 1.7 m/s

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Location

▪ Boundary-free ▪ Distance map

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Construction

  • f Geometry
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Building Geometry

▪ Refinement ▪ Alterations ▪ Iterative modifications

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Refinement

▪ Automatic ▪ Manual

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Alterations

▪ Aisle width ▪ Narrow gaps

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Iterative Modifications

▪ Remove impediments ▪ Modify distance map

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Case Studies

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Sample Projects

▪ Multi-purpose arena ▪ Theatre

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Multi-Use Arena

▪ Trade shows ▪ Sporting events ▪ Concerts

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Trade Show

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Observations

▪ Distributed population ▪ Generally free movement

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Sporting Event

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Observations

▪ Concentrated population ▪ Restricted movement

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Grandstands

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Divide Rows

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Eliminate Gap

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Exit Distribution

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Engineering Judgment

▪ Reduce bleacher depth ▪ Limit travel in seating row ▪ Invert exit access

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Concert

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Time 0:15

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Time 0:30

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Time 0:45

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Time 1:45

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Time 2:45

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Time 3:30

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Time 4:30

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Time 6:00

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Engineering Judgment

▪ Limit travel within row ▪ Forced exit distribution ▪ Queuing vs. available exits

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Tiered Theatre Seating

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Time 1:00

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Time 3:30

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Time 5:00

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Time 6:00

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Time 8:00

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Time 9:30

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Time 11:00

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Engineering Judgment

▪ Deleted seat obstructions ▪ Limited travel within row ▪ Forced exit distribution ▪ Queuing vs. available exits ▪ Account for jams

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Validation Factors

▪ Comparable to test data ▪ Absence of panic ▪ Aisles equalize rows ▪ Queuing vs. exit availability ▪ Rational manipulations

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Potential Refinement

▪ Multi-story stairs ▪ Effects of pillar at exit ▪ Alter movement speed

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BrianT@AEGISengineering.com +1-425-745-4700

Discussion

Brian Thompson, P.E. AEGIS Engineering