Risk Assessment of Drilling and Blasting Method Based on Nonlinear FAHP and Combination Weighting
Source abstract
Abstract
Risk assessment in tunnel construction using the drilling and blasting method presents a complex multi-criteria decision-making challenge due to numerous interacting factors. This study develops an advanced risk assessment model integrating game theory-based combination weighting with nonlinear fuzzy analytic hierarchy process (FAHP). The methodology establishes a comprehensive risk evaluation system through the systematic coupling of a work breakdown structure (WBS) and a risk breakdown structure (RBS), effectively combining subjective weights from an analytic hierarchy process (AHP) with objective weights derived through principal component analysis (PCA). A specialized nonlinear operator addresses the inherent fuzziness in the risk evaluation processes. The model is applied to the Daliangshan No. 1 Tunnel flat guide entrance drilling and blasting construction section, with the risk level determined to be high. Detailed analysis further revealed that the detonation network reliability and ventilation system performance constituted the most significant secondary risk elements. Comparative validation demonstrates the model’s superior accuracy over conventional methods in both weight determination and risk classification. The results demonstrate the effectiveness of the proposed model in improving risk assessment accuracy and supporting decision-making in complex tunnel construction environments.
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Research context
OpenAlex topics: Advanced machining processes and optimization · Drilling and Well Engineering · Fault Detection and Control Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Human Settlements and Civil Engineering, Xi’an Jiao Tong University, Xi’an 710049, China
China Construction First Group Corporation Limited Northwest Branch, Xi’an 710000, China
School of Civil Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
Shaanxi Key Laboratory of Geotechnical and Underground Space Engineering, Xi’an 710055, China
China Railway Beijing Group Co., Ltd., Beijing 102308, China
Funding
Science and Technology Innovation Team of Shaanxi Innovation Capability Support Plan
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