2024
DOI: 10.3390/buildings14030570
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Data-Driven Dynamic Bayesian Network Model for Safety Resilience Evaluation of Prefabricated Building Construction

Junwu Wang,
Zhao Chen,
Yinghui Song
et al.

Abstract: Due to factors such as the availability of assembly equipment, technology, and site management level, prefabricated building construction safety accidents often occur. To ensure the safety of prefabricated buildings and effectively reduce the accident rate, the concept of resilience is introduced into the safety management of prefabricated buildings. Based on the resilience absorption capacity, adaptation capacity, recovery capacity, and optimization capacity, a comprehensive evaluation index system for the sa… Show more

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“…Bayesian networks serve as statistical tools utilized to model causal connections and uncertainties among distinct events. These networks depict data relationships within a probabilistic framework, visually outlining the interrelations among a sequence of events and employing probability distributions to articulate the dependence of each event on others [42].…”
Section: Bayesian Regularizationmentioning
confidence: 99%
“…Bayesian networks serve as statistical tools utilized to model causal connections and uncertainties among distinct events. These networks depict data relationships within a probabilistic framework, visually outlining the interrelations among a sequence of events and employing probability distributions to articulate the dependence of each event on others [42].…”
Section: Bayesian Regularizationmentioning
confidence: 99%