Research on Deepening and Optimizing the Special Plan for Deep Excavation Based on Subway Engineering Site Information

Zhenyu Wei; Shujiao Tong

doi:10.54097/nv5qkm24

Research on Deepening and Optimizing the Special Plan for Deep Excavation Based on Subway Engineering Site Information

Zhenyu Wei, Shujiao Tong

International Journal of Energy, (2025), Vol.6, No.3, pp.73-78

Published: April 28, 2025

DOI: 10.54097/nv5qkm24

PDF: Download Full Text PDF

Abstract

This article aims to optimize the safety measures of the special plan and proposes a Bayesian network method for modeling the safety risks of construction sites based on construction site information. It transforms the optimization problem of safety measures into a dynamic combination problem of safety measures and introduces a genetic algorithm to solve this combination optimization problem. Improving the safety level of the subway construction site has reduced the construction risk factors.

Keywords: Construction Technical Plan for Safety, Multi-objective Optimization Modeling

APA Citation: Zhenyu Wei, Shujiao Tong (2025). Research on Deepening and Optimizing the Special Plan for Deep Excavation Based on Subway Engineering Site Information. International Journal of Energy, 6(3), 73-78. https://doi.org/10.54097/nv5qkm24

References

Zhang Y, Ding L, Love PED. Planning of Deep Foundation Construction Technical Specifications Using Improved Case-Based Reasoning with Weighted k-Nearest Neighbors. Journal of Computing in Civil Engineering. 2017, 31(5):04017029.
Thomas, H.R. & Ellis Jr, R. D. Contractor prebid planning principles. Journal of construction engineering and management,2007,133(8),542-552.
Menches, C. L., & Hanna, A. S. Conceptual planning process for electrical construction. Journal of construction engineering and management. 2006,132(12), 1306-1313.
Menches, C. L., Hanna, A. S., Nordheim, E. V. et al. Impact of pre-construction planning and project characteristics on performance in the US electrical construction industry. Construction Management and Economics. 2008,26(8),855-869.
Barnard Yvonne, Blok Inger. Gathering user needs for knowledge management applications for engineers in advanced manufacturing industries. Conference Proceedings of the & th International Conference on Human Aspects of Advanced Manufacturing. Rome: National Research Council of Italy, Institute of Cognitive Sciencesand Technologies, 2003. 339-346.
Hu X, Xia B, Skitmore M, et al. The application of case-based reasoning inconstruction management research: An overview. Automation in Construction.2016,72:65-74.
Ryu H G Lee H S, Park M. Construction planning method using case-based reasoning (CONPLA-CBR). Journal of computing in civil engineering, 2007,21(6):410-422.
Aamodt A, Plaza E. Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI communications, 1994, 7(1): 39-59.
Prentzas J, Hatzilygeroudis I. Categorizing approaches combining rule-based and case-based reasoning. Expert Systems, 2007, (24):97-122.
Deepti Anne John, Rose Rani John. A Framework for medical diagnosis using hybrid reasoning in: Proc. International MultiConference of Engineers and Computer Scientists, 2010, Vol I: 157-160.