Bio-inspired 3D printing of strain-hardening cementitious composites reticulated shell roofs DOI
Guoqiang Du, Ye Qian

Materials Letters, Journal Year: 2024, Volume and Issue: unknown, P. 137498 - 137498

Published: Oct. 1, 2024

Language: Английский

3D-printed functionally graded concrete plates: Concept and bending behavior DOI Creative Commons
Hongshuai Sun, Jun‐Jie Zeng,

Guang-Yao Hong

et al.

Engineering Structures, Journal Year: 2025, Volume and Issue: 327, P. 119551 - 119551

Published: Jan. 4, 2025

Language: Английский

Citations

8
Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction DOI Creative Commons
Chao Li, Frank Petzold

Buildings, Journal Year: 2025, Volume and Issue: 15(1), P. 133 - 133

Published: Jan. 4, 2025

Advanced construction techniques, such as additive manufacturing (AM) and modular construction, offer promising solutions to address labor shortages, reduce CO2 emissions, enhance material efficiency. Despite their potential, the adoption of these innovative methods is hindered by industry’s fragmented expertise. Building Information Modeling (BIM) frequently suggested integrate this diverse knowledge, but existing BIM-based approaches lack a robust framework for systematically documenting retrieving cross-domain knowledge essential projects. To bridge gap, paper presents an ontology-driven methodology utilizing expert with focus on AM in construction. Based well-founded ontological framework, set ontologies formalized individual domains. Additionally, prototypical documentation tool developed elevate recorded information BIM models graph. This graph will interface advanced large language (LLMs), enabling effective question answering retrieval.

Language: Английский

Citations

2
Enhancing the fracture and flexural behavior of 3D printed strain-hardening cementitious composites with nature-inspired single and double Bouligand structures DOI
Guoqiang Du, Ye Qian

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 465, P. 140145 - 140145

Published: Jan. 30, 2025

Language: Английский

Citations

1
The Role of Lightweight AI Models in Supporting a Sustainable Transition to Renewable Energy: A Systematic Review DOI Creative Commons
Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1192 - 1192

Published: Feb. 28, 2025

The transition from fossil fuels to renewable energy (RE) sources is an essential step in mitigating climate change and ensuring environmental sustainability. However, large-scale deployment of renewables accompanied by new challenges, including the growing demand for rare-earth elements, need recycling end-of-life equipment, rising footprint digital tools—particularly artificial intelligence (AI) models. This systematic review, following Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, explores how lightweight, distilled AI models can alleviate computational burdens while supporting critical applications systems. We examined empirical conceptual studies published between 2010 2024 that address energy, circular economy paradigm, model distillation low-energy techniques. Our findings indicate adopting significantly reduce consumption data processing, enhance grid optimization, support sustainable resource management across lifecycle infrastructures. review concludes highlighting opportunities challenges policymakers, researchers, industry stakeholders aiming integrate principles into RE strategies, emphasizing urgent collaborative solutions incentivized policies encourage low-footprint innovation.

Language: Английский

Citations

1
Additive manufacturing of natural materials DOI
Olga Beatrice Carcassi, Lola Ben-Alon

Automation in Construction, Journal Year: 2024, Volume and Issue: 167, P. 105703 - 105703

Published: Aug. 25, 2024

Language: Английский

Citations

5
Innovative Insulation Materials: A Comprehensive Review of Current Trends, Challenges, and Future Directions in Sustainable Building Technologies DOI
Buket Erzen, Mukaddes Karataş, Ramazan Orhan

et al.

Polymer-Plastics Technology and Materials, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: March 3, 2025

Language: Английский

Citations

0
Research on 3D Printing Concrete Mechanical Properties Prediction Model Based on Machine Learning DOI Creative Commons
Yonghong Zhang, Suping Cui, Bohao Yang

et al.

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04254 - e04254

Published: Jan. 1, 2025

Language: Английский

Citations

0
Digital innovations for a circular plastic economy in Africa DOI
Muhammad Daud Bin Mahmud

African Identities, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 3

Published: Jan. 27, 2025

Language: Английский

Citations

0
Numerical Prediction of residual stress and distortion for laser powder bed fusion (LPBF) AM process of Ti-6Al-4V DOI

J. Mohanraj,

Jambeswar Sahu

Simulation Modelling Practice and Theory, Journal Year: 2025, Volume and Issue: unknown, P. 103094 - 103094

Published: Feb. 1, 2025

Language: Английский

Citations

0
Selecting the most suitable 3D printing technology for custom manufacturing using fuzzy decision-making methodology DOI
Betül Yıldırım, Ertuğrul Ayyıldız

International Journal on Interactive Design and Manufacturing (IJIDeM), Journal Year: 2025, Volume and Issue: unknown

Published: March 2, 2025

Language: Английский

Citations

0