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HAL Id: hal-01393909

https://hal.archives-ouvertes.fr/hal-01393909

Submitted on 8 Nov 2016

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Development of treatment to prevent the algal biofouling

Jessie Vallet, Alexandre Govin, Christine Lors, Phillipe Grosseau, Denis

Damidot

To cite this version:

Jessie Vallet, Alexandre Govin, Christine Lors, Phillipe Grosseau, Denis Damidot. Development of treatment to prevent the algal biofouling. Dr. Alexandra BERTRON. RILEM TC253-MCI ’Microorganisms-cementitious materials interactions’, Jun 2016, Delft, Netherlands. Proccedings of RILEM TC253-MCI, 2016. �hal-01393909�

(2)

Development of treatment to

prevent the algal biofouling

A

SPIN-EMSE, CNRS:UMR5307, LGF, Ecole des Mines de Saint Etienne, France

B

Mines de Douai, LGCgE-GCE, Douai, France

J. VALLET

A,B

, A. GOVIN

A

, C.LORS

B

, P. GROSSEAU

A

, D. DAMIDOT

B

RILEM TC253-MCI – Contact: jessie.vallet@emse.fr

Observation of a retarding effect of the calcium aluminate cement based coating

Development of an algorithm on Matlab for image analysis

Accelerated biocolonization tests in laboratory with mortars samples covered by sulfo aluminate cement based coating

in situ tests with the samples previously tested in laboratory

Incorporation of TiO

2

, Ag or Cu nanoparticles into the coating

Kinetic modeling of colonization of the mortars surface

Development of preventive treatment against biocolonization without adverse effects on the

environment

Conclusions / Prospects

Biofouling

For algae:

Aesthetic problems

High maintenance costs

Mortars

Portland or Aluminate

(CEM) (CAC)

Micro-algae

Klebsormidium flaccidum

Solutions

Development of a calcium aluminate cement (CAC) based coating applied in a thin layer of

1mm.

A Portland cement based coating is used as reference.

30% Portland cement

70% Sand

W/C=0,5

40,7% Aluminate cement

58,9% Limestone filler

0,4% Thickener

W/C=0,73

Hydration

t=14 days

T=20°C

95% HR

Producing the

coating

Hydration

t=10 days

T=20°C

95% HR

Carbonation

100% CO₂

T=20°C

65% HR

Producing the

mortar

Accelerated

biocolonization

test

Results

Retarding effect of the CAC based coating

Image analysis (Matlab)

Scanned image

Conversion

RGB L*a*b*

segmentation

Colonization rate

Binary image

Experimental approach

Experimental device

Development of a self-learning algorithm to analyze the

microbial growth.

Identification of areas colonized by algae in the L*a*b*

color space.

The L*a*b* color space

Applying the

coating

Thickness of 1mm

Ra≈150µm

X t % = 100 ∗

S t

S

0

S(t): Surface colonized by algae at

time t

S

0

: Total sample surface

Mortar + CEM based coating

Mortar without coating

Mortar + CAC based coating

Mortar without coating

Mortar + CAC based

coating

Mortar + CEM based

coating

Initial surface pH

9,7

± 0,2

9,3

± 0,1

9,2

± 0,1

Surface roughness (µm)

146

± 56

155

± 23

163

± 29

Latency time (days)

7,5

± 0,5

11,6

± 4,2

4,7

± 1,6

Time for X(t)=40% (days)

22,7

± 1,5

53,2

± 0,5

12,4

± 1,6

Issues

Intrinsic factors

Weather

Environment

Microorganisms

Chemical composition

Roughness

Porosity

Surface pH

Extrinsic factors

Classification

Principle: Sprinkling an algal suspension on top of mortar samples

Conditions:

T=24°C

Photoperiod of 12h

Stirring synchronized with lighting

Sprinkling cycle: 1h30 every 12h, flow of 24 L/h

Bacteria, Fungi, Algae

0

10

20

30

40

50

60

70

80

90

100

0

20

40

60

80

100

120

140

Colo

nization

rate

(%

)

time (days)

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