Predictive control using a hybrid data-based artificial neural network model: a case study on the construction of massive concrete structures-Reference-Cited by-同舟云学术

Predictive control using a hybrid data-based artificial neural network model: a case study on the construction of massive concrete structures

Published:2022-02-01 Issue: Volume: Page:1-16
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Liu Hangjun¹,Yang Song¹,He Yuantao²³,Zhang Mingyang²,Zhao Guojun¹,Cao Zhensheng¹,Ruan Xin²⁴

Affiliation:

1. China Power Construction Road and Bridge Group Co., Ltd, Beijing, China

2. Department of Bridge Engineering, Tongji University, Shanghai, China

3. CCCC Highway Consultants Co., Ltd, Beijing, China

4. Key Laboratory of Performance Evolution and Control for Engineering Structures (Ministry of Education), Tongji University, Shanghai, China

Funder

Scientific Research Project of China Power Construction Road and Bridge Group Co., Ltd.

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2022.2030368

Reference39 articles.

1. FEA model for the simulation of the hydration process and temperature evolution during the concreting of an arch dam

2. Analytical solution for temperature field of nonmetal cooling pipe embedded in mass concrete

3. Simulation and feedback analysis of the temperature field in massive concrete structures containing cooling pipes

4. Smart steel bridge construction enabled by BIM and Internet of Things in industry 4.0: A framework

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