Technical Papers
Mar 23, 2023

Emergency Restorability of Underground Engineering Environment after Disasters by Utilizing Prefabrication and Assembly Technology

Publication: Natural Hazards Review
Volume 24, Issue 3

Abstract

Urban development is promoting aboveground-underground city integration. Underground engineering and surrounding buildings and infrastructure form an underground engineering environment (UEE). In critical disasters, damage to the UEE not only causes chain damage to the surroundings but also aggravates urban resilience. Few studies have focused on UEE resilience and its disaster reduction. This study investigated the emergency restorability of the UEE to fill this research gap. First, we classified the restoration levels based on UEE damage patterns. Second, we performed subregion optimization based on cast-in-situ (CIS) restoration, and technical optimization by utilizing prefabrication and assembly technology (PAT). Third, the CIS/PAT UEE emergency restorability functions were constructed based on these optimizations and the local assembly capacity. Finally, the performance of the CIS/PAT restoration, optimization effect, and local assembly capacity were analyzed using a case study. The results indicated that (1) meticulous subregion optimization significantly reduced environmental work with a 13.5% speed up; (2) technical optimization incorporating PAT had the highest efficiency for improving UEE emergency restorability; (3) PAT restoration enhanced the structural resilience and functional resilience of the UEE by at least 28.34% and 62.27% over CIS restoration, respectively; (4) upper and lower thresholds exist for assembly speed in PAT restoration; (5) there exist three types of assembly capacity in PAT restoration: ring-quantity-sensitive, ring-weight-sensitive, and insensitive; and (6) the adaptive schemes maximized the performance of different local assembly capacities in PAT restoration. The UEE emergency restorability function provides a quantitative assessment tool for the resilience of UEE and a resilience enhancement scheme for disaster reduction.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This study was supported by the National Natural Science Foundation of China (NSFC) (Project No. 52090084).

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Go to Natural Hazards Review
Natural Hazards Review
Volume 24Issue 3August 2023

History

Received: Aug 22, 2022
Accepted: Jan 23, 2023
Published online: Mar 23, 2023
Published in print: Aug 1, 2023
Discussion open until: Aug 23, 2023

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College of Civil and Transportation Engineering, Shenzhen Univ., Shenzhen 518060, China; Shenzhen Key Laboratory of Green, Efficient, and Intelligent Construction of Underground Metro Station, Shenzhen 518060, China; Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE), College of Civil and Transportation Engineering, Shenzhen Univ., Shenzhen 518060, China (corresponding author). ORCID: https://orcid.org/0000-0002-8443-509X. Email: [email protected]
Professor, College of Civil and Transportation Engineering, Shenzhen Univ., Shenzhen 518060, China; Shenzhen Key Laboratory of Green, Efficient, and Intelligent Construction of Underground Metro Station, Shenzhen 518060, China; Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE), College of Civil and Transportation Engineering, Shenzhen Univ., Shenzhen 518060, China. ORCID: https://orcid.org/0000-0002-0880-579X. Email: [email protected]
Dong Su, Ph.D. [email protected]
Professor, College of Civil and Transportation Engineering, Shenzhen Univ., Shenzhen 518060, China; Shenzhen Key Laboratory of Green, Efficient, and Intelligent Construction of Underground Metro Station, Shenzhen 518060, China; Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE), College of Civil and Transportation Engineering, Shenzhen Univ., Shenzhen 518060, China. Email: [email protected]

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