Self-updatable AI-assisted design of low-carbon cost-effective ultra-high-performance concrete (UHPC)
Machine learning has exhibited high efficiency in designing concrete. However, collecting the dataset for training machine learning models is challenging. To address this challenge, this paper develops an approach to collect concrete design data automatically based on information extraction techniqu...
Main Authors: | Pengwei Guo, Soroush Mahjoubi, Kaijian Liu, Weina Meng, Yi Bao |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
|
Series: | Case Studies in Construction Materials |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509523008057 |
Similar Items
-
Performance-Based Fibre Design for Ultra-High Performance Concrete (UHPC)
by: Jan-Paul Lanwer, et al.
Published: (2022-08-01) -
On Flexural Performance of Girder-To-Girder Wet Joint for Lightweight Steel-UHPC Composite Bridge
by: Shuwen Deng, et al.
Published: (2020-02-01) -
Ultra-High-Performance Concrete (UHPC): A state-of-the-art review of material behavior, structural applications and future
by: Srimaruthi Jonnalagadda, et al.
Published: (2023-11-01) -
Comprehensive sustainability strategy for the emerging ultra-high-performance concrete (UHPC) industry
by: Ingrid Lande, et al.
Published: (2023-06-01) -
A Comprehensive Review of the Advances, Manufacturing, Properties, Innovations, Environmental Impact and Applications of Ultra-High-Performance Concrete (UHPC)
by: Gregor Kravanja, et al.
Published: (2024-02-01)