Research on Intelligent Dynamic Prediction of Deep Foundation Pit Construction Schedule under Uncertain Background-Reference-Cited by-同舟云学术

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Research on Intelligent Dynamic Prediction of Deep Foundation Pit Construction Schedule under Uncertain Background

Published:2023-11-30 Issue: Volume:116 Page:1031-1040
ISSN:
Container-title:ICCREM 2023
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Author:

Kang Huaiqiang¹²³⁴,Fu Rao¹²³⁴,Ma Feng¹²³⁴,Zhang Jie¹²³⁴

Affiliation:

1. Ph.D. Candidate, Institute of Defense Engineering, Academy of Military Sciences, People’s Liberation Army, Beijing, China.

2. Harbin Institute of Technology, Harbin, China.

3. Senior Engineer, Huadong Engineering Corporation Limited, Powerchina International Group Limited, Hang Zhou, China.

4. Ph.D. Candidate, Harbin Institute of Technology, Harbin, China (corresponding author).

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485217.102

Reference11 articles.

1. Improving progress monitoring by fusing point clouds;Braun A.;Semantic data and computer vision,2020

2. The Foundation Pit Deep Site Ground State Design Modelling

3. Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections

4. Hong, Q.K. (2014). “Study on risk management in the implementation stage of urban deep foundation pit project.” Qingdao University of Technology, Shandong, China. (in Chinese).

5. Research progress of deep foundation pit deformation control;Liu Y.J.;Sichuan Building Science Research,2011

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