Application of Artificial Intelligence in Design Automation: A Two-Stage Framework for Structure Configuration and Design-Reference-Cited by-同舟云学术

Application of Artificial Intelligence in Design Automation: A Two-Stage Framework for Structure Configuration and Design

Published:2024-08 Issue:8 Volume:150 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Li Mingshu¹,Zheng Qiu²,Ashuri Baabak³^ORCID

Affiliation:

1. Ph.D. Candidate, School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332.

2. School of Civil and Environmental Engineering, Georgia Institute of Technology, 790 Atlantic Dr. NW, Atlanta, GA 30332.

3. Professor, School of Building Construction and School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-14409

Reference47 articles.

1. AASHTO. 2020. AASHTO LRFD bridge design specifications. Washington, DC: AASHTO.

2. Ampanavos S. M. Nourbakhsh and C. Y. Cheng. 2021. “Structural design recommendations in the early design phase using machine learning.” In Proc. Int. Conf. on Computer-Aided Architectural Design Futures 190–202. Singapore: Springer.

3. New stopping criterion for genetic algorithms

4. Berquand A. F. Murdaca A. Riccardi T. Soares S. Gerené N. Brauer and K. Kumar. 2018. “Towards an artificial intelligence based design engineering assistant for the early design of space missions.” In Proc. 69th Int. Astronautical Congress. Paris: International Astronautical Federation.

5. Implementing data-driven parametric building design with a flexible toolbox