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吕旭滨,于江,秦拥军,等. 再生混凝土梁受弯破坏过程声发射的灰色模型[J]. 科学技术与工程, 2019, 19(28): 270-275.
吕旭滨,qinyongjun,et al.Study on Grey Model of Acoustic Emission of Recycled Concrete Beam Subjected to Bending Failure[J].Science Technology and Engineering,2019,19(28):270-275.
再生混凝土梁受弯破坏过程声发射的灰色模型
Study on Grey Model of Acoustic Emission of Recycled Concrete Beam Subjected to Bending Failure
投稿时间:2019-03-26  修订日期:2019-05-10
DOI:
中文关键词:  再生 混凝土 声发射 灰色模型 折减系数
英文关键词:regeneration concrete acoustic emission grey model reduction factor
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
           
作者单位
吕旭滨 新疆大学建筑工程学院
于江 新疆大学建筑工程学院
秦拥军 新疆大学建筑工程学院
姜思凡 新疆大学建筑工程学院
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中文摘要:
      为了分析采用传统灰色理论对声发射事件数建立声发射灰色模型GM(1,1)的预测值相较于试验值较大、预测精度不高等问题,根据再生粗骨料取代率为30%的再生混凝土梁在受弯破坏过程中的声发射现象,通过引入折减系数k提高预测值的精度,并给出了折减系数在梁破坏全过程的表达式。通过和试验相验证,比较 GM( 1,1) 灰色模型预测值与试验值,最终结果表明:折减系数k与时间t呈现较好的非线性关系,在起点处与终点处分别为0.5k和3k。根据上述特性得到修正后的灰色模型,其精度较传统模型有了很大的提高,利用该模型对材料受力过程中的声发射参数进行分析,进而实现对再生混凝土梁失稳的判别及预测,对于今后预测材料损伤问题提供了参考。
英文摘要:
      In order to analyze the problem that the predicted value of the acoustic emission gray model GM(1,1) is established by the traditional gray theory for the number of acoustic emission events compared with the experimental value and the prediction accuracy is not high, the replacement rate of the recycled coarse aggregate is 30%. The acoustic emission phenomenon of recycled concrete beams during bending failure was improved by introducing the reduction factor k, and the expression of the reduction factor in the whole process of beam failure was given. By comparing with the experimental results, the predicted and experimental values of the GM(1,1) grey model are compared. The final results show that the reduction coefficient k has a good nonlinear relationship with the time t, which is 0.5k at the starting point and the ending point respectively. And 3k. According to the above characteristics, the corrected gray model has a higher precision than the traditional model. The model is used to analyze the acoustic emission parameters during the stress process of the material, and then the discrimination and prediction of the instability of the recycled concrete beam are realized. It provides a reference for predicting material damage in the future.
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