A metro collapse accident is the main type of metro construction accidents. How to scientifically analyze the key cause factors and their interaction coupling mechanism of the existing metro collapse accidents is crucial to reduce the occurrence of metro collapse. Based on the Fault Tree Analysis (FTA) and the Behavior security "2-4" Model (24Model), the FTA-24Model accident cause analysis framework was constructed by combing their respective characteristics. To be more specific, a logical analysis program was developed to analyze the accident causes by the four-module analysis method. An empirical study was carried out by taking the "12.1" major cave-in accident at the construction site of the Metro Line 11 in Guangzhou as an example. Compared with the case accident report, the FTA-24Model framework analysis method can not only systematically deduce the logical relationship between the accident causes and provides a panorama of the accident cause chain and its evolution process, but also identify the key causes of accidents and their coupling risk effects. For a metro construction accident, this method can not only effectively investigate the accident causes, but also provide a reference for the formulation of prevention strategies.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871915 | PMC |
http://dx.doi.org/10.3390/ijerph19042102 | DOI Listing |
Sci Rep
November 2024
School of Civil Engineering, Guizhou University, Guiyang, 550025, Guizhou, China.
Expansive surrounding rock, such as mudstone, poses significant risks to supporting structures like tunnel linings due to its tendency to expand. To explore the expansion mechanism of expansive surrounding rock and address underground engineering challenges associated with it, this study, based on the first phase of Guiyang Metro Line S1, samples expansive surrounding rock from the section and conducts basic physical tests, X-ray diffraction (XRD), and scanning electron microscopy (SEM) analyses on the samples. The influence of water content (0%, 2.
View Article and Find Full Text PDFSci Rep
September 2024
School of Civil Engineering, Henan University of Technology, Zhengzhou, 450001, Henan, China.
The effects on the upper masonry structure and the construction parameters of shield cutting piles were studied during shield construction, focusing on a shield interval of Zhengzhou Metro Line 5. The study utilized the actual engineering case of left and right double-lane shields superimposed on cutting cement soil group pile composite foundations beneath masonry structures. Findings revealed that masonry structures within approximately 30 m (5.
View Article and Find Full Text PDFIntensive Care Med
December 2024
The George Institute for Global Health, Sydney, Australia.
Background: The combination of intravenous hydrocortisone and enteral fludrocortisone may reduce mortality in patients with septic shock. The optimal dose and reliability of absorption of fludrocortisone in critically ill patients are unclear.
Methods: In a multi-centre, open label, phase II randomized clinical trial, intravenous hydrocortisone alone or in combination with one of three doses of enteral fludrocortisone (50 µg, 100 µg or 200 µg daily) for 7 days was compared in patients with septic shock.
Int Urol Nephrol
September 2024
Department of Nephrology, Central Queensland Hospital and Health Service, Rockhampton, QLD, Australia.
Curr Opin Crit Care
October 2024
Herston Institute of Infectious Diseases (HeIDI), Metro North Health.
Purpose Of Review: To highlight the recent evidence for antibiotic pharmacokinetics and pharmacodynamics (PK/PD) in enhancing patient outcomes in sepsis and septic shock. We also summarise the limitations of available data and describe future directions for research to support translation of antibiotic dose optimisation to the clinical setting.
Recent Findings: Sepsis and septic shock are associated with poor outcomes and require antibiotic dose optimisation, mostly due to significantly altered pharmacokinetics.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!