建筑钢结构进展2025，Vol.27Issue(7)：64-72,9.DOI:10.13969/j.jzgjgjz.20240213001
基于超声CT成像的钢-混凝土组合结构界面损伤识别研究
Research on Interfacial Damage Detection of Steel-Concrete Composite Structures with Ultrasonic CT Imaging Method
摘要
Abstract
Aiming at the difficulty in accurately identifying interfacial defects in steel-concrete composite structures using traditional ultrasonic testing methods,a quantitative method for detecting interface debonding damage in steel-concrete composite structures based on ultrasonic Computed Tomography(CT)images is proposed.A novel ultrasonic transducer with magnetic absorption and excellent electromagnetic shielding function is developed and a method of extracting the initial arrival of transmitted waves by using Akaike Information Criterion(AIC)is presented.Based on forward numerical model established in this study and inversion analysis,the imaging accuracy of three different solving algorithms,namely,Back Projection Technique(BPT),Algebraic Reconstruction Technique(ART),and Simultaneous Iterative Reconstruction Technique(SIRT),is investigated in-depth.A"two-stage"imaging method using the final value of the BPT algorithm as the iterative initial value of the SIRT algorithm is proposed,and the accuracy of the proposed imaging algorithm under different excitation frequencies is studied experimentally.The results show that the AIC method can accurately extract the initial arrival of the transmitted wave with an accuracy of us,the BPT algorithm results can be used as the method to solve the initial value of SIRT,and the highest imaging accuracy can be obtained by using an excitation frequency of 25 kHz.关键词
钢-混凝土组合结构/界面损伤识别/界面剥离/超声CT成像/SIRT算法/超声换能器/成像精度Key words
steel-concrete composite structure/interfacial damage detection/interface debonding/ultrasound CT imaging/simultaneous iterative reconstruction technique(SIRT)algorithm/ultrasonic transducer/imaging accuracy分类
建筑与水利引用本文复制引用
李修权,孔庆钊,陈琳,任耀军,许斌,陈洪兵..基于超声CT成像的钢-混凝土组合结构界面损伤识别研究[J].建筑钢结构进展,2025,27(7):64-72,9.基金项目
国家重点研发计划项目(2023YFC3805100),国家自然科学基金(52378282,52020105005),北京市科技新星项目(20220484012),福建省智慧基础设施与监测重点实验室开放研究课题(IIM-01-05) （2023YFC3805100）
