Li Jiang , Hong Zhang , Qingxia Tao , Xiaotian Wu , Jianting Zhou , Runchuan Xia
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引用次数: 0
Abstract
The non-destructive quantitative assessment of cable corrosion is a pressing issue for evaluating the condition of in-service cables. This study established a magnetic dipole model for corrosion damage under load. A prediction method for cable corrosion degree was proposed, combining multi-domain magnetic characteristic values with Whale Optimization Algorithm-Support Vector Regression (WOA-SVR). Results indicate that the combination of multi-domain and multi-dimensional magnetic characteristic values effectively enhances the accuracy of cable corrosion degree inversion. The proposed WOA-SVR model demonstrates strong performance in predicting cable corrosion degree, with a maximum absolute error of 0.66 and a maximum relative error of 5.14 %. This method improves identification accuracy by approximately sixfold compared to traditional approaches, providing theoretical support and new insights for identifying in-service cable corrosion levels.
期刊介绍:
Construction and Building Materials offers an international platform for sharing innovative and original research and development in the realm of construction and building materials, along with their practical applications in new projects and repair practices. The journal publishes a diverse array of pioneering research and application papers, detailing laboratory investigations and, to a limited extent, numerical analyses or reports on full-scale projects. Multi-part papers are discouraged.
Additionally, Construction and Building Materials features comprehensive case studies and insightful review articles that contribute to new insights in the field. Our focus is on papers related to construction materials, excluding those on structural engineering, geotechnics, and unbound highway layers. Covered materials and technologies encompass cement, concrete reinforcement, bricks and mortars, additives, corrosion technology, ceramics, timber, steel, polymers, glass fibers, recycled materials, bamboo, rammed earth, non-conventional building materials, bituminous materials, and applications in railway materials.