Abstract
Accurately evaluating the construction risk of deep foundation pit projects is crucial to formulate science-based risk response measures. Here, we propose a novel construction risk assessment method for deep foundation pit projects. A construction risk evaluation index system based on a work breakdown structure-risk breakdown structure matrix was established to deal with the complex risks of deep foundation pit construction. The projection pursuit method optimized by particle swarm optimization was used to extract the structural features from the evaluation data to obtain objective index weights. The calculation method of the five-element connection number in the set pair analysis was improved to evaluate the static construction risk. The partial derivatives of the five-element connection number were utilized to assess the dynamic construction risk. The Qi ‘an Fu deep foundation pit project in China was selected as a case study. The results show that the construction risk was acceptable and decreased during the construction period, which was consistent with actual conditions, demonstrating the effectiveness of this novel method. The proposed model showed better performance than classical methods (analytic hierarchy process, entropy weight method, classical set pair analysis, fuzzy comprehensive evaluation, gray clustering method, backpropagation neural network, and support vector machine).
Highlights
Construction projects are vital for the economy of developing countries, and deep foundation pit projects are an important component of the construction sector
We evaluate the risk of the whole deep foundation pit project from the view of project decision-makers, and various construction risk factors should be considered
The risk assessment model proposed in this paper is mainly divided into five parts: (1) data collection, (2) calculating the objective weights based on the projection pursuit method (PP) optimized by Particle Swarm Optimization (PSO), (3) determining the set pair model according to the risk management, (4) static analysis based on the confidence, and (5) dynamic analysis based on the set pair potential
Summary
Construction projects are vital for the economy of developing countries, and deep foundation pit projects are an important component of the construction sector. Traditional risk identification methods typically focus on single aspects of the construction risk factors of deep foundation pit projects, such as risk loss [5] or risk sources [6]. This approach is one-sided and prone to subjectivity. The projection pursuit method (PP) obtained the objective weights from the structural characteristics of the risk evaluation data, which avoids the adverse effects of expert opinion and ensures the interpretability of the calculation results [11].
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