Fall Risk Assessment of Bridge Construction Using Bayesian Network Transferring From Fault Tree Analysis

Abstract

Falling is the most common one during bridge construction. Current safety management on site mainly relies on checklist assessment. Yet the assessment result is often influenced by the ability and experience of the evaluator, thus is not impossible to achieve consistent and systematic assessment objective. Moreover, most critical factors that can prevent occurrence of accidents cannot be found from existing safety management and assessment method. This paper built a Bayesian Network (BN) model by converting Fault Tree to assess the fall risk of bridge construction projects. We analyse falling factors and their relationships in Bayesian Network, and collect prior probability event and calculate the probability for the entire model. Using the model to analyse and validate with the current bridge projects under construc­tion, the results from Bayesian Network is consistent with that from conventional labour safety performance assessment. Therefore, the ability to manage site safety of the model is proven to be useful.

An Interval‐Valued Pythagorean Fuzzy Compromise Approach with Correlation‐Based Closeness Indices for Multiple‐Criteria Decision Analysis of Bridge Construction Methods

“…Selecting an appropriate bridge construction method involves numerous and complex criteria and entails challenging technical operations, particularly in regions featuring complicated geological structures or frequent natural disasters [2,6,14,15,28]. To illustrate the uncertainties that exist in the intricate decision environment, this study attempts to develop a new MCDA approach involving a novel application of IVPF set theory to describe the uncertainties of decision-making according to the degrees of membership and nonmembership that are represented by flexible interval values that reflect the degree of hesitation.…”

“…Almost all developed countries build reliable and durable bridges as a part of their infrastructure [3,4]. However, bridges are relatively fragile and prone to wear and damage from the environment [5], particularly in regions featuring complex geological structures or natural disasters such as flooding, earthquakes, or typhoons [6,7]. Therefore, bridges must be safe and serviceable for users [8,9].…”

“…Therefore, bridges must be safe and serviceable for users [8,9]. As an important part of highway transportation systems, the structural design and construction of bridges are of utmost importance to national development [10,11]; selecting appropriate construction methods is therefore crucial [6,[12][13][14][15].…”

“…Ensuring the applicability, safety, durability, and cost-effectiveness of bridge structural designs is of utmost importance [22,23]. The most common accident that occurs during bridge construction is bridge collapse, which is frequently the result of inappropriate construction methods, incurs time and monetary losses, and creates the need to repair environmental damage and undertake subsequent reconstruction [6]. From a durability perspective, bridges are a fragile component in road construction because they are relatively more vulnerable to environmental impact than are the other parts [5].…”

Reliability Analysis of Metro Door System Based on Fuzzy Multi-State Bayesian Network

“…Fault diagnosis software for safety instrumented systems has been developed based on this method. Chen [12] evaluated the falling risk in the process of bridge construction by transforming the fault tree into BN and verified the effectiveness of the method with practical engineering cases.…”