Holistic design of pre-tensioned concrete beams based on Artificial Intelligence-Reference-Cited by-同舟云学术

Holistic design of pre-tensioned concrete beams based on Artificial Intelligence

Published:2022-09-11 Issue:3 Volume:22 Page:1714-1745
ISSN:1346-7581
Container-title:Journal of Asian Architecture and Building Engineering
language:en
Short-container-title:Journal of Asian Architecture and Building Engineering

Author:

Hong Won-Kee¹,Nguyen Manh Cuong¹,Pham Tien Dat¹,Le Thuc Anh¹

Affiliation:

1. Department of Architectural Engineering, Kyung Hee University, Yongin, Republic of Korea

Funder

National Research Foundation of Korea (NRF) grant funded by the Korean government

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Building and Construction,Cultural Studies,Architecture,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13467581.2022.2097909

Reference24 articles.

1. Innovative model for accurate prediction of the transfer length of prestressing strands based on artificial neural networks: Case study

2. CEN (European Committee for Standardization). (2004). “Eurocode 2 : Part 1-1: General Rules and Rules for Buildings.” In Eurocode 2: Vol. BS En 1992.

3. AI-based Lagrange optimization for designing reinforced concrete columns

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1. Pre-tensioned concrete beams optimized with a unified function of objective (UFO) using ANN-based Hong-Lagrange method;Journal of Asian Architecture and Building Engineering;2023-10-18

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