3D-printed Housing for Remote and Disaster-prone U.S. Regions: Technological Potential and Deployment Challenges

Housing insecurity remains a persistent challenge in remote and disaster-prone regions of the United States, where environmental hazards, infrastructural limitations, and labor shortages restrict the viability of conventional construction. This study investigates the potential of concrete 3D printing, also known as additive manufacturing, as a disruptive solution for delivering affordable, sustainable, and rapidly deployable housing in underserved areas, including Native American reservations, rural Alaska, Appalachian communities, and hurricane-affected Gulf Coast states. The research evaluates the technological foundations of construction-scale 3D printing, including material science considerations, robotic automation platforms, and field-adapted printability parameters, such as material flow, setting time, and extrusion stability under site-specific environmental conditions. Drawing from case studies and federal pilot programs, it examines how additive manufacturing reduces construction time, material waste, and labor dependency, while also supporting climate-resilient and customizable housing designs. A comparative cost analysis demonstrates significant savings over traditional methods, particularly in contexts with high transportation and formwork costs. However, the study also identifies several barriers to widespread adoption both technological (e.g., high capital costs, lack of standardized codes) and social (e.g., community skepticism, labor displacement concerns) that hinder implementation. These limitations are especially pronounced in economically disadvantaged or environmentally fragile regions. Recommendations include the development of locally sourced printable materials, regulatory harmonization, regional printer hubs, and community-engaged design strategies. By assessing both the opportunities and constraints of 3D-printed housing, this research contributes to the broader discourse on sustainable construction technologies, post-disaster recovery, and equitable infrastructure deployment in marginalized U.S. communities.

Authors

Institutions

Publication Details

Journal
Journal of Engineering Research and Reports
Published
2025-06-02
DOI
https://doi.org/10.9734/jerr/2025/v27i61531
Citations
2
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3D-printed Housing for Remote and Disaster-prone U.S. Regions: Technological Potential and Deployment Challenges

Chinedu Wilfred Okonkwo, Samuel Oseji, Okes Imoni
2 citations
Journal of Engineering Research and Reports
Modular Robots and Swarm Intelligence
1.43
article

3D-printed Housing for Remote and Disaster-prone U.S. Regions: Technological Potential and Deployment Challenges

Chinedu Wilfred Okonkwo, Samuel Oseji, Okes Imoni
article en
2 citations

Abstract

Housing insecurity remains a persistent challenge in remote and disaster-prone regions of the United States, where environmental hazards, infrastructural limitations, and labor shortages restrict the viability of conventional construction. This study investigates the potential of concrete 3D printing, also known as additive manufacturing, as a disruptive solution for delivering affordable, sustainable, and rapidly deployable housing in underserved areas, including Native American reservations, rural Alaska, Appalachian communities, and hurricane-affected Gulf Coast states. The research evaluates the technological foundations of construction-scale 3D printing, including material science considerations, robotic automation platforms, and field-adapted printability parameters, such as material flow, setting time, and extrusion stability under site-specific environmental conditions. Drawing from case studies and federal pilot programs, it examines how additive manufacturing reduces construction time, material waste, and labor dependency, while also supporting climate-resilient and customizable housing designs. A comparative cost analysis demonstrates significant savings over traditional methods, particularly in contexts with high transportation and formwork costs. However, the study also identifies several barriers to widespread adoption both technological (e.g., high capital costs, lack of standardized codes) and social (e.g., community skepticism, labor displacement concerns) that hinder implementation. These limitations are especially pronounced in economically disadvantaged or environmentally fragile regions. Recommendations include the development of locally sourced printable materials, regulatory harmonization, regional printer hubs, and community-engaged design strategies. By assessing both the opportunities and constraints of 3D-printed housing, this research contributes to the broader discourse on sustainable construction technologies, post-disaster recovery, and equitable infrastructure deployment in marginalized U.S. communities.

Journal of Engineering Research and ReportsVol. 27(6)
Niger Delta University (NG), The University of Texas at San Antonio (US)
Openalex Percentile: Top 20%
Modular Robots and Swarm Intelligence
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.