Foundation Pit Collapse on 8 June 2019 in Nanning, China: A Brief Report

Chin, Yie-Tong; Shen, Shui‐Long; Zhou, Annan

doi:10.3390/safety5040068

Cited by 15 publications

(3 citation statements)

References 26 publications

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Section: Resultsmentioning

confidence: 99%

“…As for major earthwork accidents, they are usually related to the natural environment and construction scheme and organization (consolidated rules 3.6 and 3.7). For instance, continuous rain causes water gushing or sand flow in the foundation and earthwork collapses by rainwater immersion (Chin et al, 2019). When the hydrogeological conditions are poor and the soil layers are unstable, these elements would increase construction risk and potentially cause major accidents.…”

Section: Construction Collapse Accidentsmentioning

confidence: 99%

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Cause analysis of construction collapse accidents using association rule mining

Shao

Guo

Dong

et al. 2022

ECAM

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PurposeThe construction collapse is one of the most serious accidents since it has several attributes (e.g. accident type and consequence) and its occurrence involves various kinds of causal factors (e.g. human factors). The impact of causal factors on construction collapse accidents and the interrelationships among causal factors remain poorly explored. Thus, the purpose of this paper is to use association rule mining (ARM) for cause analysis of construction collapse accidents.Design/methodology/approachAn accident analytic framework is developed to determine the accident attributes and causal factors, and then ARM is introduced as the method for data mining. The data are from 620 historical accident records on government websites of China from 2010 to 2020. Through the generated association rules, the impact of causal factors and the interrelationships among causal factors are explored.FindingsCollapse accident is easily caused by human factors, material and machine condition and management factors. Furthermore, the results show a close interrelationship between many causal factors and construction scheme and organization. The earthwork collapse is greatly related to environmental condition and the scaffolding collapse is greatly related to material and machine condition.Practical implicationsThis study found relevant knowledge about the key causes for different types of construction collapses. Besides, several suggestions are further provided for construction units to prevent construction collapse accidents.Originality/valueThis study uses data mining methods to extract knowledge about the causes of collapse accidents. The impact of causal factors on various types of construction collapse accidents and the interrelationships among causal factors are explained from historical accident data.

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Section: Resultsmentioning

confidence: 99%

Section: Construction Collapse Accidentsmentioning

confidence: 99%

Cause analysis of construction collapse accidents using association rule mining

Shao

Guo

Dong

et al. 2022

ECAM

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“…If a self-built house is established near a college or residential block, more tenants and homeowners will quasi-seek more significant benefits. This may cause a severe public safety incident with a significant adverse impact on society [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A Brief Report on the Collapse of Self-Built Houses on 29 April 2022, in Changsha, China

Wang

Chen

Peng

2022

IJERPH

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A self-built house collapsed in Changsha City, Hunan Province, on 29 April 2022, causing 53 people to be trapped and 39 people to go missing. The tragedy caused a huge loss of life, so the stability of self-built houses has a non-negligible impaction on public safety. This report presents causes of the incident, rescue operations, cause analysis, and the analytic hierarchy process (AHP). The main conclusions about the reasons for the collapse include: (a) reckless heightening, (b) unreasonable structure, (c) adverse geological conditions, (d) architectural vulnerabilities, (e) negligence of competent authorities, and (f) lack of security awareness. This paper provides a reference for avoiding similar security incidents in the future.

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