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Mesostructures in 3D Concrete Printing
Helena Westerlind
PostDoc Researcher
School of Architecture
KTH Royal Institute of Technology
helena.westerlind@arch.kth.se
José Hernández Vargas
PhD student
Dept. of Civil & Architectural Engineering
KTH Royal Institute of Technology.
joseh@kth.se
Johan Silfwerbrand
Professor
Dept. of Civil & Architectural Engineering
KTH Royal Institute of Technology.
johan.silfwerbrand@byv.kth.se
§ No mould
§ Additive principle: layer-by-layer along a preprogramed print path
§ New challenges and opportunities
§ Advantage: ability to place material only where needed
§ Printing resolution
01/ Background
2 (20)
Casting concrete 3D Concrete Printing [3DCP]
01/ Concrete scales
3 (20)
Micro scale
≤ 10-2
m
Macro scale
> 100
m
Micro scale
≤ 10-2
m
Macro scale
> 100
m
Meso scale
10-2 – 100 m
01/ Meso Scale
4 (20)
Micro scale
≤ 10-2
m
Macro scale
> 100
m
Meso scale
10-2 – 100 m
01/ Meso Scale
4 (20)
§ Aesthetic possibilities
§ Functional performance
§ Structural performance
CAD
Model
STL
file
Slicer GCODE
file
AM
CAD CAM
CAD
Model
Print path
settings
CAD / CAM
01/ Digital workflow (design to manufacturing)
5 (20)
GCODE
file
AM
Standard 3D printing workflow New 3D printing workflow
Knitting Concrete
Helena Westerlind(&)
and José Hernández
KTH Royal Institute of Technology, Stockholm, Sweden
helena.westerlind@arch.kth.se
Abstract. Due to concrete’s traditional role as a casting material its appearance
as a uniform solid mass is one of the material’s most distinct traits. When poured
in a mould fresh concrete adheres to the shape of the formwork and material
distribution is not adaptable at a more detailed level. This paper explores how
deposition-based additive manufacturing opens up new opportunities for con-
trolling the distribution of concrete at a previously neglected intermediate scale -
the meso-scale. By adopting principles of knitting to toolpath planning, the
paper presents a computational method for varying the density, porosity, and
surface articulation of the material, previously inconceivable due to the limita-
tions of formwork.
Keywords: Additive manufacturing ! 3D printing ! Toolpath generation !
Knitting ! Material structures ! Material scales
1 Introduction
In its traditional role as a cast material, the use of concrete in the built environment is
fundamentally conditioned by the inverted relationship that exist between the material
and formwork. Any work of cast concrete is essentially the positive imprint of a
negative mould, and as the historian Peter Collins remarked, ‘To design a concrete
structure is to design the formwork’ [1]. When poured in a mould, fresh concrete
adopts the shape of its container, and at surface level, the impact of the mould remains
visible in the imprint left by the surface character of the opposing formwork. As a
result, concrete’s appearance as a uniform solid mass is one of its most distinct traits.
The process of shaping concrete by deposition signifies a fundamental departure
from existing formwork-based techniques. Instead of being shaped by the constraint
and control imposed by a static mould, the material is deposited along a programmable
path, performed by a numerically controlled machine. The former singular operation of
the “pour” is replaced with a dynamic “choreographed flow”, in which the role of the
line shifts from representing the perimeter of form to constituting the path along which
the material “performs”.
Advantages of this emerging form of concrete manufacturing have so far been
explored in the form of non-standard building components [2], the integration of
services [3] and hollow wall typologies [4]. Yet, an overview of research in the field
reveals a strong focus on technical feasibility with relatively few projects addressing
added value in terms of design applications [5]. This project aims to contribute to
counteracting this tendency by focusing on a relatively unexplored advantage of the
© RILEM 2020
F. P. Bos et al. (Eds.): DC 2020, RILEM Bookseries 28, pp. 988–997, 2020.
https://doi.org/10.1007/978-3-030-49916-7_96
6 (20)
01/ Previous work
Westerlind, Helena, and Jose Hernández
Vargas. “Knitting Concrete.” In
Proceedings of DC 2020: Second RILEM
International Conference on Concrete and
Digital Fabrication, July 6-9, 2020, 988–97.
01/ Previous work
7 (20)
01/ Scope of presentation
8 (20)
II. Experimental programme for evaluating the load bearing
capacity of a selection of fabricated mesostructures
III. Presentation of test results
IV. Discussion and further research
4
Fig. 1. Generated print paths for patterns A, B, and C.
Table 1. Parameters of print paths
Pattern Stitch Line type Stacking Layer
height
[mm]
Nr. of
Layers
Amplitude
[mm]
Wavelength
[mm]
Total length
of path
[mm]
A 8833 1/1 10 15 40 150 2924
B 0536 1/1 10 15 40 150 3010
C 8204 1/1 10 15 40 150 2315
4
Fig. 1. Generated print paths for patterns A, B, and C.
Table 1. Parameters of print paths
Pattern Stitch Line type Stacking Layer
height
[mm]
Nr. of
Layers
Amplitude
[mm]
Wavelength
[mm]
Total length
of path
[mm]
A 8833 1/1 10 15 40 150 2924
B 0536 1/1 10 15 40 150 3010
C 8204 1/1 10 15 40 150 2315
2.2 Printing system
The patterns were fabricated using an auger-based extrusion tool
02/ Print pattern generation
A B C
9 (20)
Concrete mix = Sikacrete-751 3D + 15% water (53 MPa after 28 days)
02/ Fabrication of prototypes
Robotic setup at KTH School of Architecture
10 (20)
02/ Printed prototypes and extraction of test specimens
150 mm
100 mm
150mm
3 x
Pattern A Pattern B Pattern C
11 (20)
02/ Test specimen
Test specimen A.3 Test specimen B.3 Test specimen C.2
11 (20)
STEP 1: Flattening of top and base surfaces STEP 2: Length measurements STEP 3: Mass measurement
STEP 4: Measuring volume of specimen STEP 5: Calculating top and base surface areas
02/ Preparation of test specimen
13 (20)
02/ Compression testing
14 (20)
§ Compressive test after 28 days.
§ The samples were loaded perpendicularly to the print direction
under constant displacement control at 0,1 mm/s
Test specimen A.3
Displacement (mm)
0,5 1 1,5 2 2,5 3
20
40
60
Force
(KN)
80
100
120
140
160
180
200
0,5 1 1,5 2 2,5 3
20
40
60
80
100
120
140
160
180
200
20
40
60
80
100
120
140
160
180
200
0,5 1 1,5 2 2,5 3
Test specimen A.1
Test specimen A.2
Test specimen A.3
Test specimen B.1
Test specimen B.2
Test specimen B.3
Test specimen C.1
Test specimen C.2
Test specimen C.3
16 (20)
03/ Load – displacement
PATTERN A PATTERN B PATTERN C
5
10
15
20
25
Test specimen A.1
Test specimen A.2
Test specimen A.3
0,002 0,02
5
10
15
20
25
Test specimen B.1
Test specimen B.2
Test specimen B.3
0,004 0,006 0,008 0,01 0,012 0,014 0,016 0,018
0,002 0,02
0,004 0,006 0,008 0,01 0,012 0,014 0,016 0,018 0,002 0,02
5
10
15
20
25
0,004 0,006 0,008 0,01 0,012 0,014 0,016 0,018
Test specimen C.1
Test specimen C.2
Test specimen C.3
03/ Stress – Strain curves
15 (20)
PATTERN A PATTERN B PATTERN C
Test Specimen C.2
Test Specimen B.3
Test Specimen A.3
03/ Cracking behaviour
17 (20)
Mesostructure
A
Mesostructure
B
Mesostructure
C
Cast specimen
[reference]
Mass g 3625,9 3442,5 2539,3 4815
Volume cm3
1717,1 1607,6 1194,3 2250
Length mm 150,4 150,4 150,2 150
Width mm 105,1 104,9 96,1 100
Height mm 144,7 145,3 140,3 150
Area [top] mm2
7774 8146 4535 15000
Area [bottom] mm2
16466 11092 11873 15000
Max load KN 151,4 157,8 92,0 800,8
Comp. strength MPa 19,4 19,5 20,6 53,39
Bulk density kg/m3
1580 1500 1250 2140
Strength/weight MPa/kg 5,34 6,67 8,11 11,1
04/ Conclusions
A B C
18 (20)
Table 2. Mean values of test results
Mesostructure
A
Mesostructure
B
Mesostructure
C
Cast specimen
[reference]
Mass g 3625,9 3442,5 2539,3 4815
Volume cm3
1717,1 1607,6 1194,3 2250
Length mm 150,4 150,4 150,2 150
Width mm 105,1 104,9 96,1 100
Height mm 144,7 145,3 140,3 150
Area [top] mm2
7774 8146 4535 15000
Area [bottom] mm2
16466 11092 11873 15000
Max load KN 151,4 157,8 92,0 800,8
Comp. strength MPa 19,4 19,5 20,6 53,39
Bulk density kg/m3
1580 1500 1250 2140
Strength/weight MPa/kg 5,34 6,67 8,11 11,1
04/ Conclusions
18 (20)
§ Density versus bulk density
(unit weight of concrete over
the printed volume)
§ Bulk densities 1250-1580 kg/m3
§ Mesostructure C was the most
efficient in filling a given
volume with the lowest amount
of material
A B C
Table 2. Mean values of test results
Mesostructure
A
Mesostructure
B
Mesostructure
C
Cast specimen
[reference]
Mass g 3625,9 3442,5 2539,3 4815
Volume cm3
1717,1 1607,6 1194,3 2250
Length mm 150,4 150,4 150,2 150
Width mm 105,1 104,9 96,1 100
Height mm 144,7 145,3 140,3 150
Area [top] mm2
7774 8146 4535 15000
Area [bottom] mm2
16466 11092 11873 15000
Max load KN 151,4 157,8 92,0 800,8
Comp. strength MPa 19,4 19,5 20,6 53,39
Bulk density kg/m3
1580 1500 1250 2140
Strength/weight MPa/kg 5,34 6,67 8,11 11,1
18 (20)
§ Mesostructure C was able to
withstand a significantly lower
load than pattern A and B
§ But when also considering the
given cross-sectional surface
area it actually performed the
best in terms of compressive
strength
§ Structural performance found to
be less than half of conventional
cast concrete
04/ Conclusions
A B C
Table 2. Mean values of test results
Mesostructure
A
Mesostructure
B
Mesostructure
C
Cast specimen
[reference]
Mass g 3625,9 3442,5 2539,3 4815
Volume cm3
1717,1 1607,6 1194,3 2250
Length mm 150,4 150,4 150,2 150
Width mm 105,1 104,9 96,1 100
Height mm 144,7 145,3 140,3 150
Area [top] mm2
7774 8146 4535 15000
Area [bottom] mm2
16466 11092 11873 15000
Max load KN 151,4 157,8 92,0 800,8
Comp. strength MPa 19,4 19,5 20,6 53,39
Bulk density kg/m3
1580 1500 1250 2140
Strength/weight MPa/kg 5,34 6,67 8,11 11,1
18 (20)
§ Mesostructure C was able to
withstand a significantly lower
load than pattern A and B
§ But when also considering the
given cross-sectional surface
area it actually performed the
best in terms of compressive
strength
§ Structural performance found to
be less than half of conventional
cast concrete
§ When also taking account the
lower bulk density of the pattern
(strength/weight) the load
bearing capacity of
mesostructure C performed
significantly better at 73% of
the capacity of cast concrete
04/ Conclusions
A B C
Table 2. Mean values of test results
04/ Concluding remarks
The placement of concrete through the programming of print
paths represents a new way of controlling the bulk density and
load bearing capacity of this traditionally massive material.
19 (20)
04/ Concluding remarks
The placement of concrete through the programming of print
paths represents a new way of controlling the bulk density and
load bearing capacity of this traditionally massive material.
These findings form the basis of future research looking at:
§ how to design print paths to achieve maximum structural
performance
§ how to vary printing patterns according to local load bearing
criteria to optimize the amount of material used in 3D printed
concrete structures
19 (20)
This project has received support from Hesselmanska Foundation, the Development Fund
of the Swedish Construction Industry (SBUF) and the strategic innovation program Smart
Built Environment (2020-00257), which is part of the strategic innovation areas initiative
funded by Vinnova – the Swedish Innovation Agency, Formas – a Swedish Research
Council for Sustainable Development and the Swedish Energy Agency.
Thank you for listening!
20 (20)

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D3 (B7) Helena Westerlind - Mesostructures in 3D Concrete Printing.pdf

  • 1. Mesostructures in 3D Concrete Printing Helena Westerlind PostDoc Researcher School of Architecture KTH Royal Institute of Technology helena.westerlind@arch.kth.se José Hernández Vargas PhD student Dept. of Civil & Architectural Engineering KTH Royal Institute of Technology. joseh@kth.se Johan Silfwerbrand Professor Dept. of Civil & Architectural Engineering KTH Royal Institute of Technology. johan.silfwerbrand@byv.kth.se
  • 2. § No mould § Additive principle: layer-by-layer along a preprogramed print path § New challenges and opportunities § Advantage: ability to place material only where needed § Printing resolution 01/ Background 2 (20) Casting concrete 3D Concrete Printing [3DCP]
  • 3. 01/ Concrete scales 3 (20) Micro scale ≤ 10-2 m Macro scale > 100 m
  • 4. Micro scale ≤ 10-2 m Macro scale > 100 m Meso scale 10-2 – 100 m 01/ Meso Scale 4 (20)
  • 5. Micro scale ≤ 10-2 m Macro scale > 100 m Meso scale 10-2 – 100 m 01/ Meso Scale 4 (20) § Aesthetic possibilities § Functional performance § Structural performance
  • 6. CAD Model STL file Slicer GCODE file AM CAD CAM CAD Model Print path settings CAD / CAM 01/ Digital workflow (design to manufacturing) 5 (20) GCODE file AM Standard 3D printing workflow New 3D printing workflow
  • 7. Knitting Concrete Helena Westerlind(&) and José Hernández KTH Royal Institute of Technology, Stockholm, Sweden helena.westerlind@arch.kth.se Abstract. Due to concrete’s traditional role as a casting material its appearance as a uniform solid mass is one of the material’s most distinct traits. When poured in a mould fresh concrete adheres to the shape of the formwork and material distribution is not adaptable at a more detailed level. This paper explores how deposition-based additive manufacturing opens up new opportunities for con- trolling the distribution of concrete at a previously neglected intermediate scale - the meso-scale. By adopting principles of knitting to toolpath planning, the paper presents a computational method for varying the density, porosity, and surface articulation of the material, previously inconceivable due to the limita- tions of formwork. Keywords: Additive manufacturing ! 3D printing ! Toolpath generation ! Knitting ! Material structures ! Material scales 1 Introduction In its traditional role as a cast material, the use of concrete in the built environment is fundamentally conditioned by the inverted relationship that exist between the material and formwork. Any work of cast concrete is essentially the positive imprint of a negative mould, and as the historian Peter Collins remarked, ‘To design a concrete structure is to design the formwork’ [1]. When poured in a mould, fresh concrete adopts the shape of its container, and at surface level, the impact of the mould remains visible in the imprint left by the surface character of the opposing formwork. As a result, concrete’s appearance as a uniform solid mass is one of its most distinct traits. The process of shaping concrete by deposition signifies a fundamental departure from existing formwork-based techniques. Instead of being shaped by the constraint and control imposed by a static mould, the material is deposited along a programmable path, performed by a numerically controlled machine. The former singular operation of the “pour” is replaced with a dynamic “choreographed flow”, in which the role of the line shifts from representing the perimeter of form to constituting the path along which the material “performs”. Advantages of this emerging form of concrete manufacturing have so far been explored in the form of non-standard building components [2], the integration of services [3] and hollow wall typologies [4]. Yet, an overview of research in the field reveals a strong focus on technical feasibility with relatively few projects addressing added value in terms of design applications [5]. This project aims to contribute to counteracting this tendency by focusing on a relatively unexplored advantage of the © RILEM 2020 F. P. Bos et al. (Eds.): DC 2020, RILEM Bookseries 28, pp. 988–997, 2020. https://doi.org/10.1007/978-3-030-49916-7_96 6 (20) 01/ Previous work Westerlind, Helena, and Jose Hernández Vargas. “Knitting Concrete.” In Proceedings of DC 2020: Second RILEM International Conference on Concrete and Digital Fabrication, July 6-9, 2020, 988–97.
  • 9. 01/ Scope of presentation 8 (20) II. Experimental programme for evaluating the load bearing capacity of a selection of fabricated mesostructures III. Presentation of test results IV. Discussion and further research
  • 10. 4 Fig. 1. Generated print paths for patterns A, B, and C. Table 1. Parameters of print paths Pattern Stitch Line type Stacking Layer height [mm] Nr. of Layers Amplitude [mm] Wavelength [mm] Total length of path [mm] A 8833 1/1 10 15 40 150 2924 B 0536 1/1 10 15 40 150 3010 C 8204 1/1 10 15 40 150 2315 4 Fig. 1. Generated print paths for patterns A, B, and C. Table 1. Parameters of print paths Pattern Stitch Line type Stacking Layer height [mm] Nr. of Layers Amplitude [mm] Wavelength [mm] Total length of path [mm] A 8833 1/1 10 15 40 150 2924 B 0536 1/1 10 15 40 150 3010 C 8204 1/1 10 15 40 150 2315 2.2 Printing system The patterns were fabricated using an auger-based extrusion tool 02/ Print pattern generation A B C 9 (20)
  • 11. Concrete mix = Sikacrete-751 3D + 15% water (53 MPa after 28 days) 02/ Fabrication of prototypes Robotic setup at KTH School of Architecture 10 (20)
  • 12. 02/ Printed prototypes and extraction of test specimens 150 mm 100 mm 150mm 3 x Pattern A Pattern B Pattern C 11 (20)
  • 13. 02/ Test specimen Test specimen A.3 Test specimen B.3 Test specimen C.2 11 (20)
  • 14. STEP 1: Flattening of top and base surfaces STEP 2: Length measurements STEP 3: Mass measurement STEP 4: Measuring volume of specimen STEP 5: Calculating top and base surface areas 02/ Preparation of test specimen 13 (20)
  • 15. 02/ Compression testing 14 (20) § Compressive test after 28 days. § The samples were loaded perpendicularly to the print direction under constant displacement control at 0,1 mm/s Test specimen A.3
  • 16. Displacement (mm) 0,5 1 1,5 2 2,5 3 20 40 60 Force (KN) 80 100 120 140 160 180 200 0,5 1 1,5 2 2,5 3 20 40 60 80 100 120 140 160 180 200 20 40 60 80 100 120 140 160 180 200 0,5 1 1,5 2 2,5 3 Test specimen A.1 Test specimen A.2 Test specimen A.3 Test specimen B.1 Test specimen B.2 Test specimen B.3 Test specimen C.1 Test specimen C.2 Test specimen C.3 16 (20) 03/ Load – displacement PATTERN A PATTERN B PATTERN C
  • 17. 5 10 15 20 25 Test specimen A.1 Test specimen A.2 Test specimen A.3 0,002 0,02 5 10 15 20 25 Test specimen B.1 Test specimen B.2 Test specimen B.3 0,004 0,006 0,008 0,01 0,012 0,014 0,016 0,018 0,002 0,02 0,004 0,006 0,008 0,01 0,012 0,014 0,016 0,018 0,002 0,02 5 10 15 20 25 0,004 0,006 0,008 0,01 0,012 0,014 0,016 0,018 Test specimen C.1 Test specimen C.2 Test specimen C.3 03/ Stress – Strain curves 15 (20) PATTERN A PATTERN B PATTERN C
  • 18. Test Specimen C.2 Test Specimen B.3 Test Specimen A.3 03/ Cracking behaviour 17 (20)
  • 19. Mesostructure A Mesostructure B Mesostructure C Cast specimen [reference] Mass g 3625,9 3442,5 2539,3 4815 Volume cm3 1717,1 1607,6 1194,3 2250 Length mm 150,4 150,4 150,2 150 Width mm 105,1 104,9 96,1 100 Height mm 144,7 145,3 140,3 150 Area [top] mm2 7774 8146 4535 15000 Area [bottom] mm2 16466 11092 11873 15000 Max load KN 151,4 157,8 92,0 800,8 Comp. strength MPa 19,4 19,5 20,6 53,39 Bulk density kg/m3 1580 1500 1250 2140 Strength/weight MPa/kg 5,34 6,67 8,11 11,1 04/ Conclusions A B C 18 (20) Table 2. Mean values of test results
  • 20. Mesostructure A Mesostructure B Mesostructure C Cast specimen [reference] Mass g 3625,9 3442,5 2539,3 4815 Volume cm3 1717,1 1607,6 1194,3 2250 Length mm 150,4 150,4 150,2 150 Width mm 105,1 104,9 96,1 100 Height mm 144,7 145,3 140,3 150 Area [top] mm2 7774 8146 4535 15000 Area [bottom] mm2 16466 11092 11873 15000 Max load KN 151,4 157,8 92,0 800,8 Comp. strength MPa 19,4 19,5 20,6 53,39 Bulk density kg/m3 1580 1500 1250 2140 Strength/weight MPa/kg 5,34 6,67 8,11 11,1 04/ Conclusions 18 (20) § Density versus bulk density (unit weight of concrete over the printed volume) § Bulk densities 1250-1580 kg/m3 § Mesostructure C was the most efficient in filling a given volume with the lowest amount of material A B C Table 2. Mean values of test results
  • 21. Mesostructure A Mesostructure B Mesostructure C Cast specimen [reference] Mass g 3625,9 3442,5 2539,3 4815 Volume cm3 1717,1 1607,6 1194,3 2250 Length mm 150,4 150,4 150,2 150 Width mm 105,1 104,9 96,1 100 Height mm 144,7 145,3 140,3 150 Area [top] mm2 7774 8146 4535 15000 Area [bottom] mm2 16466 11092 11873 15000 Max load KN 151,4 157,8 92,0 800,8 Comp. strength MPa 19,4 19,5 20,6 53,39 Bulk density kg/m3 1580 1500 1250 2140 Strength/weight MPa/kg 5,34 6,67 8,11 11,1 18 (20) § Mesostructure C was able to withstand a significantly lower load than pattern A and B § But when also considering the given cross-sectional surface area it actually performed the best in terms of compressive strength § Structural performance found to be less than half of conventional cast concrete 04/ Conclusions A B C Table 2. Mean values of test results
  • 22. Mesostructure A Mesostructure B Mesostructure C Cast specimen [reference] Mass g 3625,9 3442,5 2539,3 4815 Volume cm3 1717,1 1607,6 1194,3 2250 Length mm 150,4 150,4 150,2 150 Width mm 105,1 104,9 96,1 100 Height mm 144,7 145,3 140,3 150 Area [top] mm2 7774 8146 4535 15000 Area [bottom] mm2 16466 11092 11873 15000 Max load KN 151,4 157,8 92,0 800,8 Comp. strength MPa 19,4 19,5 20,6 53,39 Bulk density kg/m3 1580 1500 1250 2140 Strength/weight MPa/kg 5,34 6,67 8,11 11,1 18 (20) § Mesostructure C was able to withstand a significantly lower load than pattern A and B § But when also considering the given cross-sectional surface area it actually performed the best in terms of compressive strength § Structural performance found to be less than half of conventional cast concrete § When also taking account the lower bulk density of the pattern (strength/weight) the load bearing capacity of mesostructure C performed significantly better at 73% of the capacity of cast concrete 04/ Conclusions A B C Table 2. Mean values of test results
  • 23. 04/ Concluding remarks The placement of concrete through the programming of print paths represents a new way of controlling the bulk density and load bearing capacity of this traditionally massive material. 19 (20)
  • 24. 04/ Concluding remarks The placement of concrete through the programming of print paths represents a new way of controlling the bulk density and load bearing capacity of this traditionally massive material. These findings form the basis of future research looking at: § how to design print paths to achieve maximum structural performance § how to vary printing patterns according to local load bearing criteria to optimize the amount of material used in 3D printed concrete structures 19 (20)
  • 25. This project has received support from Hesselmanska Foundation, the Development Fund of the Swedish Construction Industry (SBUF) and the strategic innovation program Smart Built Environment (2020-00257), which is part of the strategic innovation areas initiative funded by Vinnova – the Swedish Innovation Agency, Formas – a Swedish Research Council for Sustainable Development and the Swedish Energy Agency. Thank you for listening! 20 (20)