Award Abstract # 2020095
AccelNet: 3D Concrete Printing Network (3DConcrete) - Accelerating Progress in Concrete Additive Manufacturing

NSF Org: OISE
Office of International Science and Engineering
Recipient: ARIZONA STATE UNIVERSITY
Initial Amendment Date: September 3, 2020
Latest Amendment Date: October 20, 2020
Award Number: 2020095
Award Instrument: Standard Grant
Program Manager: Maija Kukla
mkukla@nsf.gov
 (703)292-4940
OISE
 Office of International Science and Engineering
O/D
 Office Of The Director
Start Date: January 1, 2021
End Date: September 30, 2026 (Estimated)
Total Intended Award Amount: $2,000,000.00
Total Awarded Amount to Date: $2,000,000.00
Funds Obligated to Date: FY 2020 = $2,000,000.00
History of Investigator:
  • Narayanan Neithalath (Principal Investigator)
    Narayanan.Neithalath@asu.edu
  • Jan Olek (Co-Principal Investigator)
  • Raissa Ferron (Co-Principal Investigator)
  • Gaurav Sant (Co-Principal Investigator)
  • Shiho Kawashima (Co-Principal Investigator)
Recipient Sponsored Research Office: Arizona State University
660 S MILL AVENUE STE 204
TEMPE
AZ  US  85281-3670
(480)965-5479
Sponsor Congressional District: 04
Primary Place of Performance: Arizona State University
Tempe
AZ  US  85287-6011
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): NTLHJXM55KZ6
Parent UEI:
NSF Program(s): AccelNet - Accelerating Resear,
AccelNet - Accelerating Resear
Primary Program Source: 01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7561, 6194, 5927, 039E, 040E, 036E, 5920, 5936, 5946
Program Element Code(s): 069y00, 069Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.079

ABSTRACT

Concrete is the most widely used construction material. 3D printed concrete has the potential to significantly enhance the speed, safety, efficiency, performance, and sustainability of concrete construction to meet the world?s future construction challenges. This AccelNet project (3DConcrete) fosters global interconnections and international consensus on 3D printed concrete best practices, materials and design standardization and engages researchers in an "innovation ecosystem" to facilitate technology transfer. 3DConcrete strategically links key networks around the globe to synergistically meet key research challenges. The network of networks (NON) provides a mechanism for sharing knowledge, networking, and educating the next generation of professionals. The NON will span 6 continents and 13 countries, with mentorship activities that also connect colleagues in Asia, Europe, the Middle East, Australia, and the Americas.

3DConcrete will spur global advances in the automation and digitization of 3D printed concrete and, through industry participation, facilitate knowledge transfer and the implementation of key advances. The NON integrates research and practice networks with complementary expertise to address major scientific and technological challenges in materials and structural design, digital construction and codification and standardization. The broad collaborations will enable information synthesis and exchange across networks and expand capabilities beyond the purview of any individual network. 3DConcrete will provide valuable opportunities to students and early-career researchers to further their knowledge and to become leaders in this emerging field. Networking events, workshops, webinars, and exchange programs will develop and nurture a new generation of diverse and globally competitive researchers and workforce in 3D printed concrete.

The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts.

Co-funding for this project is provided by the Directorate for Engineering.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 11)
Ford, Emily and Maneparambil, Kailasnath and Kumar, Aditya and Sant, Gaurav and Neithalath, Narayanan "Transfer (machine) learning approaches coupled with target data augmentation to predict the mechanical properties of concrete" Machine Learning with Applications , v.8 , 2022 https://doi.org/10.1016/j.mlwa.2022.100271 Citation Details
Nair, Sooraj and Panda, Subhashree and Tripathi, Avinaya and Neithalath, Narayanan "Relating print velocity and extrusion characteristics of 3D-printable cementitious binders: Implications towards testing methods" Additive Manufacturing , v.46 , 2021 https://doi.org/10.1016/j.addma.2021.102127 Citation Details
Nair, Sooraj A.O. and Sant, Gaurav and Neithalath, Narayanan "Mathematical morphology-based point cloud analysis techniques for geometry assessment of 3D printed concrete elements" Additive Manufacturing , 2021 https://doi.org/10.1016/j.addma.2021.102499 Citation Details
Nair, Sooraj A.O. and Tripathi, Avinaya and Neithalath, Narayanan "Constitutive response and failure progression in digitally fabricated (3D printed) concrete under compression and their dependence on print layer height" Construction and Building Materials , v.411 , 2024 https://doi.org/10.1016/j.conbuildmat.2023.134246 Citation Details
Rodriguez, F. B. "Evaluation of Durability of 3D-Printed Cementitious Materials for Potential Applications in Structures Exposed to Marine Environments" Third RILEM International Conference on Concrete and Digital Fabrication Digital Concrete 2022 , 2022 https://doi.org/10.1007/978-3-031-06116-5_26 Citation Details
Surehali, Sahil and Gustafson, Collin and Volaity, Sayee Srikarah and Divigalpitiya, Ranjith and Kumar, Aditya and Neithalath, Narayanan "Rheology and early-age structure development in binary and ternary blends modified with novel graphene types" Cement and Concrete Composites , v.156 , 2025 https://doi.org/10.1016/j.cemconcomp.2024.105869 Citation Details
Surehali, Sahil and Tripathi, Avinaya and Neithalath, Narayanan "Anisotropy in Additively Manufactured Concrete Specimens under Compressive LoadingQuantification of the Effects of Layer Height and Fiber Reinforcement" Materials , v.16 , 2023 https://doi.org/10.3390/ma16155488 Citation Details
Surehali, Sahil and Tripathi, Avinaya and Nimbalkar, Atharwa Samir and Neithalath, Narayanan "Anisotropic chloride transport in 3D printed concrete and its dependence on layer height and interface types" Additive Manufacturing , v.62 , 2023 https://doi.org/10.1016/j.addma.2023.103405 Citation Details
Surehali, Sahil and Volaity, Sayee Srikarah and Simon, Aswathy and Divigalpitiya, Ranjith and Kumar, Aditya and Neithalath, Narayanan "New Generation Graphenes in Cement-Based Materials: Production, Property Enhancement, and Life Cycle Analysis" ACS Sustainable Chemistry & Engineering , v.12 , 2024 https://doi.org/10.1021/acssuschemeng.4c01924 Citation Details
Tripathi, Avinaya and Nair, Sooraj A.O. and Neithalath, Narayanan "A comprehensive analysis of buildability of 3D-printed concrete and the use of bi-linear stress-strain criterion-based failure curves towards their prediction" Cement and Concrete Composites , v.128 , 2022 https://doi.org/10.1016/j.cemconcomp.2022.104424 Citation Details
Tripathi, Avinaya and Sooraj, Nair and Harshitsinh, Chauhan and Narayanan, Neithalath "Print Geometry Alterations and Layer Staggering to Enhance Mechanical Properties of Plain and Fiber- Reinforced Three-Dimensional-Printed Concrete" ACI Materials Journal , v.121 , 2024 https://doi.org/10.14359/51740262 Citation Details
(Showing: 1 - 10 of 11)

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