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声发射定位技术在锚杆拉拔脱黏实验教学中的应用

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该文针对锚杆拉拔脱黏实验教学存在的问题,引入了声发射(AE)定位技术,成功将锚杆脱黏过程进行了三维可视化。文章详细探讨了 AE定位技术的基础原理、关键算法、实验设置及数据处理流程,详细阐述了该技术在锚杆脱黏监测中的应用方法,验证了AE定位技术在锚杆拉拔脱黏实验教学中的有效性。该实验课程不仅丰富了土木工程专业的实验教学内容,而且通过结合前沿监测技术,展示了跨学科技术整合在解决复杂工程问题中的重要作用。这一教学案例促进了学生对工程实际问题复杂性的理解,激发了他们对探索未知领域的兴趣,引导他们进行创新性思考。
Application of acoustic emission positioning technology in the teaching of bolt pulling and debonding experiments
[Objective]Traditional bolt pull-out experiments are essential in civil engineering education,providing essential insights into the performance and reliability of bolt support systems.However,these experiments typically yield only load-displacement curves,which,while useful,fail to offer a comprehensive understanding of the experimental process or the complex nature of the bolt support failure process.To better prepare students for real-world engineering challenges and understand bolt behavior under stress,it is necessary to advance the teaching methodology within civil engineering education.[Methods]This article introduces an improved acoustic emission(AE)localization algorithm incorporating the Geiger method,adapted through the least squares approach to enhance the analysis of bolt support systems.The enhancement of the AE algorithm allows for a more nuanced interpretation of AE signals,providing a clearer understanding of crack distribution and expansion.This new approach is particularly valuable for assessing bolt support performance in civil engineering structures,where early failure detection can prevent catastrophic outcomes.To validate the refined AE localization algorithm,an indoor experiment was conducted using cement mortar as a simulant for bolt pull-out analog specimens.Cement mortar was chosen owing to its homogeneity and environment that closely replicates real-world bolt support conditions.[Results]Students involved in the experiment gain a thorough understanding of AE positioning principles and hands-on experience in its operation.By participating in the design and execution of the experiment and through the analysis of experimental results,students deepen their understanding of the physical phenomena behind anchorage pulling and debonding.The educational process also encompasses practical aspects of sensor arrangement,data acquisition,and result interpretation,essential skills for their future academic and professional pursuits.The active involvement in experimental design,implementation,and analytical reasoning enhances students'research capabilities.Confronting experimental challenges promotes hypothesis generation,strategic planning,and data-driven conclusion drawing,strengthening their investigative acumen and problem-solving skills.This pedagogical approach fosters innovation and broadens the application scope of AE technology in civil engineering.Cooperative learning during the experiment familiarizes students with effective communication and teamwork,underscoring the importance of collective problem solving,invaluable competencies for their careers.Integrating advanced AE positioning technology into the civil engineering curriculum revitalizes traditional pedagogical methods.By facilitating hands-on learning,students gain a profound comprehension of complex theories,setting a precedent for other engineering disciplines.[Conclusions]In summary,the experimental course elucidates the use of AE positioning technology in monitoring bolt debonding,enriching the educational content for civil engineering students and highlighting the significance of interdisciplinary collaboration in addressing complex engineering challenges.This pedagogic case study offers students resources to deepen their knowledge of material behaviors and failure mechanisms while also imparting a solid foundation in anchoring technology principles and applications.

AE localizationbolt pullingdebonding processexperimental teaching3D visualization

石浩、庄剑韬、冯吉昊、宋雷、张后全、蔡海兵、王国柱、安刚建

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安徽理工大学土木建筑学院,安徽 淮南 232001

中国矿业大学 深部岩土力学与地下工程国家重点实验室,江苏 徐州 221116

中国石化中原油田分公司 石油工程技术研究院,河南濮阳 457001

中铁四局集团第四工程有限公司,安徽 合肥 230041

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AE定位 锚杆拉拔 脱黏过程 实验教学 三维可视化

安徽省博士后研究人员科研活动经费资助项目2022年安徽省新建专业质量提升项目教育部产学合作协同育人项目2022年安徽省教学研究重点项目安徽省高等学校自然科学研究重点项目矿山建设工程安徽省高校重点实验室开放课题安徽理工大学高层次引进人才科研启动基金项目

2023B7262022xjzlts0072310046910856112022jyxm4002022AH050807CXZDSY520221072021yjrc16

2024

实验技术与管理
清华大学

实验技术与管理

CSTPCD北大核心
影响因子:1.651
ISSN:1002-4956
年,卷(期):2024.41(7)