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1 NOVEL APPROACHES IN STRUCTURAL AND THERMAL ANALYSIS OF BUILDINGS Dariusz ALTERMAN The University of Newcastle Australia www.newcastle.edu.au 2 Artificial Intelligence methods Uniaxial tensile tests Image Analyse techniques Energy efficiency of buildings OVERVIEW

Conferencia Dr Dariusz Alterman

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Page 1: Conferencia Dr Dariusz Alterman

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NOVEL APPROACHES IN STRUCTURAL AND THERMAL ANALYSIS OF

BUILDINGS

Dariusz ALTERMANThe University of Newcastle

Australia

www.newcastle.edu.au

2

Artificial Intelligence methods

Uniaxial tensile tests

Image Analyse techniques

Energy efficiency of buildings

OVERVIEW

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- air content (A)- micropores content(A300)- specific surface (alfa)- spacing factor (L)- cracks

Image Analysis

- modulusof elasticity

Mechanical tests

- Vickerstest- CoV of diagonals

Information from the object

AE

- AE signal

DATABASE

www.newcastle.edu.au

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Artificial Intelligence procedures can revealunknown features of reality to an Engineer

Numerous multiNumerous multi--dimensional data comes from dimensional data comes from the real world and the real world and areare often not exactly often not exactly accurate, complete but fuzzy or scatteredaccurate, complete but fuzzy or scattered

ARTIFICIAL INTELLIGENCE TOOLS

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AIEVALUATEDPROPERTIESOF CONCRETE

(frost resistance,compressive and tensilestrength, ...)

OBSERVEDFEATURES

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approximation classification ???

TYPE OF ANALYSIS

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hiddenneuronetc.

hiddenneuron

BACKPROPAGATION NETWORK

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0 0 .5 1 1 .5 2 2 .50

20

40

60

80

100

120

140

F unc t ion A pp rox im a t ion

Inpu t

Output: -, Target: +

fc

w/c

PREDICTION

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9HIGH PERFORMANCE CONCRETE

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UNIAXIAL TENSILE TESTS

EFFECTS OF SECONDARY FLEXURE

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With eliminationWithout elimination

THE EFFECTS OF SECONDARY FLEXURE

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Typically brick veneer, cavity brick or lightweight construction (some single skin)

Developers in the past have paid little attention to climate design or energy consumption and often poor use of materials

Widespread use of air conditioning

Modelling using appropriate software (AccuRate, EnergyPlus, NatHERS, FirstRate, BERS Pro, NUMBERS)

One of the dominant parameters is the thermal resistance (R-value) of the external walls

AUSTRALIAN HOUSING

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OTHER MODULES

INSTRUMENTATION

Exterior Wall Roof Cavity

Insulation R3.5

T-type Thermocouple Locations

Heat Flux Sensor Locations

Interior Wall600mm

600mm

Floor Slab

Sarking

Cement Render (Average Thickness 10mm)

R1 Polystyrene Insulation

Fibro-Cement

Sarking

Roof Cavity

Insulation R3.5

T-type Thermocouple Locations

Heat Flux Sensor Locations

600mm

600mm

600mm

Floor Slab

Timber Framing with R1.5 Batts

Interior Wall

Cement Render (Average Thickness 10mm)

Exterior Wall

Sarking

Roof Cavity

Insulation R3.5

T-type Thermocouple Locations

Heat Flux Sensor Locations

600mm

600mm

600mm

Floor Slab

Plasterboard

Timber Framing with R1.5 Batts

Reflective Foil Insulation

Insulated Brick Veneer Insulated Reverse Brick Veneer

Insulated Cavity Brick

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Temperature Heat flux profilesSolar radiationWeather conditionsHeating/cooling energy

INSTRUMENTATION

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Thermal resistance of each walling system determined from guarded hot box tests

Representative housing test modules for each walling system observed over several years in Newcastle (Interior temperature “free floating” or “controlled” by heating/cooling)

Guarded hot box(2.4m x 2.4 m walls)

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http://www.monier.co.nz/AboutUs/Environmental/Default.aspx

THERMAL MASS

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Artificial Intelligence methods can help Artificial Intelligence methods can help you better understand different you better understand different phenomena in your phenomena in your research fieldresearch field