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Surface Topography of Fine-grained ZrO_2 Ceramic by Two-dimensional Ultrasonic Vibration Grinding
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作者 丁爱玲 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2011年第6期1162-1165,共4页
The surface quality of fine-grained ZrO2 engineering ceramic were researched using 270# diamond wheel both with and without work-piece two-dimension ultrasonic vibration grinding(WTDUVG). By AFM images, the surface ... The surface quality of fine-grained ZrO2 engineering ceramic were researched using 270# diamond wheel both with and without work-piece two-dimension ultrasonic vibration grinding(WTDUVG). By AFM images, the surface topography and the micro structure of the two-dimensional ultrasonic vibration grinding ceramics were especially analyzed. The experimental results indicate that the surface roughness is related to grinding vibration mode and the material removal mechanism. Surface quality of WTDUVG is superior to that of conventional grinding, and it is easy for two-dimensional ultrasonic vibration grinding that material removal mechanism is ductile mode grinding. 展开更多
关键词 two-dimension ultrasonic vibration grinding surface topography ductile grinding
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Assessment of flexural properties of different grade dimension lumber by ultrasonic technique 被引量:2
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作者 江京辉 吕建雄 +2 位作者 任海青 龙超 骆秀琴 《Journal of Forestry Research》 SCIE CAS CSCD 2007年第4期305-308,共4页
The dimension lumber (45mm×90mm×3700mm) of plantation Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) was graded to four different classes as SS, No. 1, No.2 and No.3, according to national lumber ... The dimension lumber (45mm×90mm×3700mm) of plantation Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) was graded to four different classes as SS, No. 1, No.2 and No.3, according to national lumber grades authority (NLGA) for structure light framing and structure joists and planks. The properties of apparent density was determined at 15% moisture content, bending strength and stiffness were tested according to American Society for Testing and Materials (ASTM) D198-99, and dynamic modulus of elasticity (Eusw) was measured by ultrasonic technique, for predicting the flexural properties of different grade lumbers. The results showed that Eosw was larger than the static MOE. The relationship between Eusw and static MOE was significant at 0.01 level, and the determination coefficients (R2) of the four grade lumbers followed the sequence as R^2No.2 (0.616)〉 R^2ss (0.567)〉 R^2No1 (0.366)〉 R^2No.3 (0.137). The R^2 of Fusw and MOR were lower than that of the Etru and MOR for each grade. The Eusw of all the grade lumbers, except No.3-grade, had significant correlation with the static MOE and MOR, thus the bending strengthof those grade lumbers can be estimated by the E The Etru valuesof four grade lumbers followed a sequence as No.2-grade (10.701 GPa) 〉 SS-grade (10.359 GPa) 〉 No.l-grade (9.840 GPa) 〉 No.3-grade (9.554 GPa). For the same grade dimension lumber, its Eusw value was larger than static MOE. Mean values of MOR for four grade lumbers follow a sequence as No.2-grade (48.67 MPa) 〉 SS-grade (48.16 MPa) 〉 No.3-grade (46.55 MPa) 〉 No. 1-grade (43.39MPa). 展开更多
关键词 dimension lumber Lumber grade ultrasonic technique Dynamic modulus of elasticity Static modulus of elasticity Modulus of rupture
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Trispectrum and correlation dimension analysis of magnetorheological damper in vibration screen 被引量:1
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作者 吴福森 黄宜坚 +1 位作者 黄凯 徐姗 《Journal of Central South University》 SCIE EI CAS 2012年第7期1832-1838,共7页
In order to improve the screening efficiency of vibrating screen and make vibration process smooth,a new type of magnetorheological (MR) damper was proposed. The signals of displacement in the vibration process during... In order to improve the screening efficiency of vibrating screen and make vibration process smooth,a new type of magnetorheological (MR) damper was proposed. The signals of displacement in the vibration process during the test were collected. The trispectrum model of autoregressive (AR) time series was built and the correlation dimension was used to quantify the fractal characteristics during the vibration process. The result shows that,in different working conditions,trispectrum slices are applied to obtaining the information of non-Gaussian,nonlinear amplitude?frequency characteristics of the signal. Besides,there is correlation between the correlation dimension of vibration signal and trispectrum slices,which is very important to select the optimum working parameters of the MR damper and vibrating screen. And in the experimental conditions,it is found that when the working current of MR damper is 2 A and the rotation speed of vibration motor is 800 r/min,the vibration screen reaches its maximum screening efficiency. 展开更多
关键词 screening efficiency vibration screen magnetorheological (MR) damper autoregressive (AR) time series trispectrumslices correlation dimension
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Dynamic Characteristic Mechanism of Atrial Septal Defect Using Real-Time Three-Dimensional Echocardiography and Evaluation of Right Ventricular Functions 被引量:7
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作者 沙仁高娃 张军 +1 位作者 秦川 吕清 《Journal of Huazhong University of Science and Technology(Medical Sciences)》 SCIE CAS 2017年第1期140-147,共8页
The dynamic characteristics of the area of the atrial septal defect(ASD) were evaluated using the technique of real-time three-dimensional echocardiography(RT 3DE), the potential factors responsible for the dynami... The dynamic characteristics of the area of the atrial septal defect(ASD) were evaluated using the technique of real-time three-dimensional echocardiography(RT 3DE), the potential factors responsible for the dynamic characteristics of the area of ASD were observed, and the overall and local volume and functions of the patients with ASD were measured. RT 3DE was performed on the 27 normal controls and 28 patients with ASD. Based on the three-dimensional data workstations, the area of ASD was measured at P wave vertex, R wave vertex, T wave starting point, and T wave terminal point and in the T-P section. The right atrial volume in the same time phase of the cardiac cycle and the motion displacement distance of the tricuspid annulus in the corresponding period were measured. The measured value of the area of ASD was analyzed. The changes in the right atrial volume and the motion displacement distance of the tricuspid annulus in the normal control group and the ASD group were compared. The right ventricular ejection fractions in the normal control group and the ASD group were compared using the RT 3DE long-axis eight-plane(LA 8-plane) method. Real-time three-dimensional volume imaging was performed in the normal control group and ASD group(n=30). The right ventricular inflow tract, outflow tract, cardiac apex muscular trabecula dilatation, end-systolic volume, overall dilatation, end-systolic volume, and appropriate local and overall ejection fractions in both two groups were measured with the four-dimensional right ventricular quantitative analysis method(4D RVQ) and compared. The overall right ventricular volume and the ejection fraction measured by the LA 8-plane method and 4D RVQ were subjected to a related analysis. Dynamic changes occurred to the area of ASD in the cardiac cycle. The rules for dynamic changes in the area of ASD and the rules for changes in the right atrial volume in the cardiac cycle were consistent. The maximum value of the changes in the right atrial volume occurred in the end-systolic period when the peak of the curve appeared. The minimum value of the changes occurred in the end-systolic period and was located at the lowest point of the volume variation curve. The area variation curve for ASD and the motion variation curve for the tricuspid annulus in the cardiac cycle were the same. The displacement of the tricuspid annulus exhibited directionality. The measured values of the area of ASD at P wave vertex, R wave vertex, T wave starting point, T wave terminal point and in the T-P section were properly correlated with the right atrial volume(P〈0.001). The area of ASD and the motion displacement distance of the tricuspid annulus were negatively correlated(P〈0.05). The right atrial volumes in the ASD group in the cardiac cycle in various time phases increased significantly as compared with those in the normal control group(P=0.0001). The motion displacement distance of the tricuspid annulus decreased significantly in the ASD group as compared with that in the normal control group(P=0.043). The right ventricular ejection fraction in the ASD group was lower than that in the normal control group(P=0.032). The ejection fraction of the cardiac apex trabecula of the ASD patients was significantly lower than the ejection fractions of the right ventricular outflow tract and inflow tract and overall ejection fraction. The difference was statistically significant(P=0.005). The right ventricular local and overall dilatation and end-systolic volumes in the ASD group increased significantly as compared with those in the normal control group(P=0.031). The a RVEF and the overall ejection fraction decreased in the ASD group as compared with those in the normal control group(P=0.0005). The dynamic changes in the area of ASD and the motion curves for the right atrial volume and tricuspid annulus have the same dynamic characteristics. RT 3DE can be used to accurately evaluate the local and overall volume and functions of the right ventricle. The local and overall volume loads of the right ventricle in the ASD patients increase significantly as compared with those of the normal people. The right ventricular cardiac apex and the overall systolic function decrease. 展开更多
关键词 ultrasonic cardiography real-time three-dimension atrial septal defect tricuspid annulus right atrium
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Evaluating performance of cutting machines during sawing dimension stones
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作者 Mohammad ATAEI Sadjad MOHAMMADI Reza MIKAEIL 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第7期1934-1945,共12页
The performance of cutting machines in terms of energy consumption and vibration directly affects the production costs. In this work, our aim was to evaluate the performance of cutting machines using hybrid intelligen... The performance of cutting machines in terms of energy consumption and vibration directly affects the production costs. In this work, our aim was to evaluate the performance of cutting machines using hybrid intelligent models. For this purpose, a systematic experimental work was performed. A database of the carbonate and granite rocks was established, in which the physical and mechanical properties of these rocks (i.e., UCS, elastic modulus, Mohs hardness, and Schmiazek abrasivity factor) and the operational parameters (i.e., depth of cut and feed rate) were considered as the input parameters. The predictive models were developed incorporating a combination of the multi-layered perceptron artificial neural networks and genetic algorithm (GANN-BP) and the support vector regression method and Cuckoo optimization algorithm (COA-SVR). The results obtained indicated that the performance of the developed GANN-BP and COA-SVR models was close to each other and that these models had good agreements with the measured values. These results also showed that these proposed models were suitable tools in evaluating the performance of cutting machines. 展开更多
关键词 dimension stone cutting machine energy consumption vibration hybrid intelligent method
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Effect of Base Width and Stiffness of the Structure on Period of Vibration of RC Framed Buildings in Seismic Analysis
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作者 Prakash Sangamnerkar Sheo Kumar Dubey 《Open Journal of Earthquake Research》 2015年第2期65-73,共9页
Fundamental natural period of vibration T of the building is an important parameter for evaluation of seismic base shear. Empirical equations given in the Indian seismic code for the calculation of the fundamental per... Fundamental natural period of vibration T of the building is an important parameter for evaluation of seismic base shear. Empirical equations given in the Indian seismic code for the calculation of the fundamental period of a framed structure, primarily as a function of height, do not consider the effect of stiffness of the structure, base dimensions of the structure, number of panels in both the directions, amount of infill and properties of the infill. The fundamental period can be evaluated using simplified expressions found in codes, which are based on earthquake recordings in existing buildings, laboratory tests, numerical or analytical computations. These technical codes provide expressions which depend on basic parameters such as building height or number of stories. Building periods predicted by these expressions are widely used in practice although it has been observed that there is scope for further improvement in these equations since the height alone is inadequate to explain period variability. It is also known that the period of a RC frame structure differs depending on whether the longitudinal or transverse direction of the structure is considered. The aim of this study is to find the effects of building base width in both the directions, stiffness of the structure etc. and to predict the fundamental period of vibration of reinforced concrete buildings with moment resisting frames (MRF). A few examples of dynamic analysis are presented in this study to show the effect of base dimensions and stiffness of the structure in calculating the time period of the structure. And it is recommended to be incorporated in the formula for evaluating the natural period of vibration of structures. 展开更多
关键词 BASE dimensions Dynamic Analysis NATURAL PERIOD of vibration STIFFNESS
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基于ELM的超声多特征融合螺栓应力测量方法
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作者 陈平 商秋仙 +1 位作者 余鑫 尹爱军 《仪器仪表学报》 EI CAS CSCD 北大核心 2024年第4期46-56,共11页
针对传统超声波螺栓应力测量中存在的非线性和不适定性问题,提出一种基于极限学习机(ELM)的超声多特征融合螺栓应力测量方法。首先基于声弹性理论和散射理论,根据超声回波信号提取声时差及瑞利散射范围内多晶体材料中纵波的衰减系数等... 针对传统超声波螺栓应力测量中存在的非线性和不适定性问题,提出一种基于极限学习机(ELM)的超声多特征融合螺栓应力测量方法。首先基于声弹性理论和散射理论,根据超声回波信号提取声时差及瑞利散射范围内多晶体材料中纵波的衰减系数等超声波特征参数。然后通过向量降维选择声时差、衰减系数和有效受力长度作为模型输入特征向量,建立了基于ELM的超声多特征融合螺栓应力测量模型。搭建螺栓轴向应力超声波测量实验平台,对不同材料和规格的螺栓进行螺栓应力的测量,并对比了使用传统的超声测量方法的测量结果,验证了传统超声检测方法的局限性。对比了ELM与其他机器学习方法包括BP、支持向量回归(SVR)的测量结果和精度。结果表明,提出的方法有效克服了传统超声测量方法的不足,能实现不同材料不同规格的螺栓应力测量,并且测量精度更高(平均相对误差为3.86%),泛化能力更好。 展开更多
关键词 螺栓应力 超声波测量 向量降维 ELM 多特征融合
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基于分形理论的旋转超声磨削Si_(3)N_(4)陶瓷表面微观形貌
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作者 孙永国 王伟 +2 位作者 李文知 魏恒举 魏士亮 《金刚石与磨料磨具工程》 CAS 北大核心 2024年第3期382-390,共9页
为了研究旋转超声磨削Si_(3)N_(4)陶瓷表面的微观形貌,基于分形理论研究不同加工参数下Si_(3)N_(4)陶瓷表面微观形貌的变化。设计旋转超声磨削Si_(3)N_(4)陶瓷正交试验,对比分析不同加工参数对Si_(3)N_(4)陶瓷表面分形维数和多重分形谱... 为了研究旋转超声磨削Si_(3)N_(4)陶瓷表面的微观形貌,基于分形理论研究不同加工参数下Si_(3)N_(4)陶瓷表面微观形貌的变化。设计旋转超声磨削Si_(3)N_(4)陶瓷正交试验,对比分析不同加工参数对Si_(3)N_(4)陶瓷表面分形维数和多重分形谱的影响,并设计单因素试验研究不同加工参数下Si_(3)N_(4)陶瓷表面的粗糙度、分形维数和多重分形谱。结果表明:旋转超声磨削Si_(3)N_(4)陶瓷表面时,分形维数能更好地表征其加工表面的缺陷状态,多重分形谱则能更好地表征其加工表面缺陷的起伏程度变化。 展开更多
关键词 旋转超声磨削 Si_(3)N_(4)陶瓷 分形维数 多重分形谱 微观形貌
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基于ReliefF和因子分析的管道泄漏源特征识别方法
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作者 高琳 周剑楠 +1 位作者 周小杰 王红 《噪声与振动控制》 CSCD 北大核心 2024年第4期174-179,241,共7页
针对管道泄漏源识别方法中由于特征冗余性较高从而影响识别精度的问题,提出一种结合ReliefF和因子分析的特征降维方法。首先,采集管道泄漏源的声发射信号,并从声发射信号中提取出27个频域特征和时域特征;其次,利用ReliefF方法对特征进... 针对管道泄漏源识别方法中由于特征冗余性较高从而影响识别精度的问题,提出一种结合ReliefF和因子分析的特征降维方法。首先,采集管道泄漏源的声发射信号,并从声发射信号中提取出27个频域特征和时域特征;其次,利用ReliefF方法对特征进行筛选,筛选出相关性较高的特征作为敏感特征,并通过因子分析提取敏感特征中的公因子,组成特征集;最后,将降维后的特征集输入支持向量机中进行识别,输出对管道泄漏源形状特征与尺寸大小的识别结果。实验结果表明,该方法能准确识别出管道泄漏源的不同形状特征以及尺寸大小,同时能有效降低特征冗余性和运算时长。 展开更多
关键词 振动与波 管道泄漏 特征降维 RELIEFF 因子分析
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结合多通道MTF和CNN的框架结构损伤识别方法
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作者 梁韬 叶涛萍 +2 位作者 李守文 方佳畅 黄天立 《振动.测试与诊断》 EI CSCD 北大核心 2024年第2期217-224,404,405,共10页
为提高复杂框架结构损伤识别的准确率,提出了一种基于多通道马尔可夫变迁场(multi-channel Markov transition field,简称MCMTF)和卷积神经网络(convolutional neural network,简称CNN)的框架结构损伤识别方法。首先,采用MCMTF理论将原... 为提高复杂框架结构损伤识别的准确率,提出了一种基于多通道马尔可夫变迁场(multi-channel Markov transition field,简称MCMTF)和卷积神经网络(convolutional neural network,简称CNN)的框架结构损伤识别方法。首先,采用MCMTF理论将原始一维振动信号转换为二维图像,实现数据升维和多通道数据融合;其次,以MCMTF转换后的图像数据集作为输入训练CNN模型;最后,经调参优化自动提取损伤敏感特征,并实现损伤识别。将该方法应用于IASC-ASCE Benchmark框架结构数值模型及3层钢框架结构模型试验,对比研究了多通道MTF、单通道MTF和原始数据矩阵3种数据输入方式,CNN、长短时记忆(long short term memory,简称LSTM)神经网络和深度神经网络(deep neural network,简称DNN)3种网络模型,以及噪声对框架结构损伤识别准确率的影响。结果表明:MCMTF与CNN结合方法的损伤识别准确率最优且具有良好的鲁棒性,其对Benchmark框架数值模型模拟损伤的识别准确率可达94.4%,对3层钢框架试验模型实际损伤的识别准确率可达98.4%。 展开更多
关键词 损伤识别 振动响应 卷积神经网络 多通道马尔可夫变迁场 数据升维 数据融合
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从“旧”厂房改造活化到“新”科研高精工艺实验室
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作者 谢德萍 吴从晓 +1 位作者 刘少坤 徐宁 《建筑与文化》 2024年第1期150-153,共4页
科研实验室的设计规划,无论是新建、扩建还是改建工程,是一项复杂的系统工程;不仅是实验室的整体规划、合理布局和平面设计,还涉及供电、供水、供气、通风、空气净化、废物清运、环境保护(如涉及核素、X射线等)等基本条件;同时实验室设... 科研实验室的设计规划,无论是新建、扩建还是改建工程,是一项复杂的系统工程;不仅是实验室的整体规划、合理布局和平面设计,还涉及供电、供水、供气、通风、空气净化、废物清运、环境保护(如涉及核素、X射线等)等基本条件;同时实验室设备基础需求、科研设备用电需求、洁净室需求、运输通道、装饰装修等也密切相关。通过光明科学城重大科研项目过渡场地建设工程的实践,阐述了光明科研实验室项目建设过程中从“旧”厂房改造活化到“新”科研高精工艺实验室中“人”的需求和“物”的需求的实验环境及技术措施,为国内同类旧改实验室的建设提供经验。 展开更多
关键词 活化维度 人的需求 物的需求 URS需求 工艺设计 微振动
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利用分形维数和BP神经网络实现超声导波缺陷分类的实验研究
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作者 武静 饶子玉 +4 位作者 沈宇驰 廖斌 张伟伟 邹厚德 马宏伟 《机械强度》 CAS CSCD 北大核心 2024年第2期328-338,共11页
近年来,超声导波技术广泛应用于管道的无损检测中。然而,不同微小缺陷类型(如裂纹、孔洞、凹陷变形等)引起的缺陷回波微弱且无明显不同,使得微小缺陷的识别和分类始终是检测难点。为识别不同微小缺陷的类型,利用对微弱周期信号敏感的Duf... 近年来,超声导波技术广泛应用于管道的无损检测中。然而,不同微小缺陷类型(如裂纹、孔洞、凹陷变形等)引起的缺陷回波微弱且无明显不同,使得微小缺陷的识别和分类始终是检测难点。为识别不同微小缺陷的类型,利用对微弱周期信号敏感的Duffing系统,提出了基于Duffing系统的动力学指标分形维数和反向传播(Back Propagation,BP)神经网络相结合的信号特征分类方法。利用BP神经网络对输入参数进行训练。其中,输入参数分为两组。第一组输入参数为由小波能量值、时域参数、分形维数特征等组成的21维k_(1)向量。第二组作为对照组,其输入参数为波能量值、时域参数组成的18维k_2向量。上述两组均输出3维向量,即输出缺陷类型。数值模拟及实验验证均表明,在加入混沌指标分形维数后识别准确率明显提升。其中,数值模拟的准确率由86.35%提升至91.85%,实验中的准确率由83.16%提升至86.06%。数值模拟和实验都验证了利用分形维数和BP神经网络结合能够更好地完成管道缺陷的识别和分类。创新性地将分形维数作为BP神经网络的特征输入,有效提高了分类的准确率,实现了因管道中小缺陷实验数据不足或检测难度大的有效识别和精确分类。研究对于实际工程中管道缺陷分类,预防管道事故具有重要意义。 展开更多
关键词 管道 超声导波 分形维数 BP神经网络
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花岗岩劈裂破坏电磁-震动有效信号重构与混沌特征
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作者 宋大钊 童永军 +3 位作者 邱黎明 韦梦菡 王满 郭明功 《煤炭学报》 EI CAS CSCD 北大核心 2024年第3期1375-1387,共13页
电磁辐射、震动监测技术广泛应用于地下工程动力灾害的监测预警,对地下工程的安全高效开发具重要意义。深入研究电磁-震动信号有助于推动岩体监测预警技术的发展,然而当前电磁辐射和震动信号(电磁-震动)分析主要集中于信号的相关性和时... 电磁辐射、震动监测技术广泛应用于地下工程动力灾害的监测预警,对地下工程的安全高效开发具重要意义。深入研究电磁-震动信号有助于推动岩体监测预警技术的发展,然而当前电磁辐射和震动信号(电磁-震动)分析主要集中于信号的相关性和时频特征,对于花岗岩破裂电磁-震动信号的非线性动力特征研究较少,相关特征尚未明确。基于此,利用经验模态信号(EMD)重构和分形理论相结合的方法,分析了花岗岩劈裂破坏电磁-震动信号的混沌特征,揭示了电磁-震动信号非线性动力特征。研究结果表明:花岗岩劈裂破坏产生的电磁辐射与震动信号在时间上具有较好的一致性,劈裂破坏产生的电磁-震动信号频谱集中在中低频段;花岗岩破坏有效电磁辐射信号的盒维数D_(E)=1.600 6,有效震动信号的盒维数D_(A)=1.594 8,两者频率结构特征高度相似;利用EMD分解重构方法可以获得花岗岩破裂有效电磁辐射与震动信号,使用EMD分解重构去除了高频存在的干扰对花岗岩破裂电磁-震动信号中的混沌特征描述更为精准。有效电磁辐射与震动信号包含的低频、大能量信号比原始信号更多,更能表征微小裂纹扩展;重构后电磁-震动信号的不均匀度相较于初始信号整体有明显的上升,不同能量信号出现的频率关系整体出现下降,重构后的有效电磁-震动信号以低频、大能量信号为主,但震动信号的不均匀程度大于电磁辐射。 展开更多
关键词 电磁-震动信号 信号重构 经验模态分解 混沌分析 分形维数
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切缝药包爆破定向断裂机理及围岩损伤特性分析 被引量:7
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作者 王雁冰 李书萱 +1 位作者 耿延杰 谢平 《工程科学学报》 EI CSCD 北大核心 2023年第4期521-532,共12页
依据弹性波动理论,结合冲击波在岩石或类岩石介质中的传播规律,建立了切缝药包爆破时切缝方向与非切缝方向的孔壁峰值应力、粉碎区和裂隙区范围之间的比例关系.利用AUTODYN软件建立了切缝药包爆破模型,在其切缝方向与非切缝方向各等间... 依据弹性波动理论,结合冲击波在岩石或类岩石介质中的传播规律,建立了切缝药包爆破时切缝方向与非切缝方向的孔壁峰值应力、粉碎区和裂隙区范围之间的比例关系.利用AUTODYN软件建立了切缝药包爆破模型,在其切缝方向与非切缝方向各等间距设置5个测点,对测点处的应力峰值、爆破振动速度峰值以及峰值对应的时间进行了分析.而后基于淮南矿区顾北煤矿的巷道爆破试验,进行了普通药包、切缝药包以及不同周边孔间距的爆破试验,研究了切缝药包以及周边孔间距的大小对围岩损伤度的影响.结果表明,使用切缝药包爆破时,在其切缝方向会产生爆轰产物射流和应力集中,同时会减弱非切缝方向的应力峰值和爆破振动速度,延缓非切缝方向的能量传播速度,减弱非切缝方向的能量传播大小,从而达到定向断裂的目的;通过现场试验可以发现,使用切缝药包比使用普通药包爆破后,围岩的损伤度下降了30%以上;当使用切缝药包爆破时,随着周边孔间距的增大,爆后围岩损伤度呈下降趋势. 展开更多
关键词 切缝药包 应力峰值 爆破振动速度 药包间距 围岩损伤 定向断裂 分形维数
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低频振动激励含瓦斯煤孔裂隙变化特征研究
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作者 魏建平 毋新亮 +2 位作者 温志辉 张立博 任永婕 《中国安全生产科学技术》 CAS CSCD 北大核心 2023年第11期55-62,共8页
为了探明低频振动激励对煤体孔裂隙特征的改造机制,采用工业显微CT扫描和低场核磁共振设备开展低频振动前后煤体孔裂隙扫描实验,测试不同振动激励频率下煤体的孔裂隙特征参数。研究结果表明:低频振动激励前后煤体的裂隙度和孔隙度均呈... 为了探明低频振动激励对煤体孔裂隙特征的改造机制,采用工业显微CT扫描和低场核磁共振设备开展低频振动前后煤体孔裂隙扫描实验,测试不同振动激励频率下煤体的孔裂隙特征参数。研究结果表明:低频振动激励前后煤体的裂隙度和孔隙度均呈现上升趋势,煤岩内部裂隙发育特征呈现一致性,振动激励的改造效果集中在对大尺寸裂隙的改造,即对原生孔缝发育的改造效果更好;低频振动激励能增加煤体内部结构的复杂性与非均质性,能有效促进孔裂隙的发育;低频振动激励对煤体孔隙改造作用集中在煤体的中孔与大孔,且当激振频率处在共振频带时,上述规律均显著增强。研究结果可为含瓦斯煤的孔裂隙改造提供参考。 展开更多
关键词 低频振动 裂隙度 孔隙度 分型维数 迂曲度
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钴铬钼合金二维超声振动辅助抛光去除特性研究
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作者 孙宝玉 辛成磊 +1 位作者 谷岩 袁旭 《机械设计与制造》 北大核心 2023年第8期84-88,共5页
钴铬钼合金作为一种优良的生物医用材料,具有优异的摩擦性能、较高的耐蚀性和良好的生物相容性,在生医材料领域得到广泛应用,可制成各种人工关节。通过分析二维超声振动抛光的去除机理建立了钴铬钼合金的材料去除模型,利用二维超声振动... 钴铬钼合金作为一种优良的生物医用材料,具有优异的摩擦性能、较高的耐蚀性和良好的生物相容性,在生医材料领域得到广泛应用,可制成各种人工关节。通过分析二维超声振动抛光的去除机理建立了钴铬钼合金的材料去除模型,利用二维超声振动辅助抛光装置开展钴铬钼合金表面完整性和工艺参数的实验,并通过实验验证了去除模型。通过抛光钴铬钼合金加工参数和表面完整性实验可知,二维超声振动抛光钴铬钼合金能获得较好的表面形貌,表现为规则的振动织状结构,表面粗糙度仅为11nm。材料去除量随主轴转速和抛光深度的增加而增大,随进给速度的增加而减少。 展开更多
关键词 二维超声抛光 髋关节材料 材料去除 表面质量
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基于支持向量机的钛合金表面粗糙度预测分析
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作者 林坤 史丽晨 +2 位作者 杨培东 豆卫涛 韩飞燕 《机械设计与制造工程》 2023年第6期77-82,共6页
为了准确预测钛合金丝材的表面粗糙度,设计了无心车床切削TC4钛合金丝材试验,对不同切削参数下无心车床的前导向机构、主轴机构、后导向机构的8通道振动参数进行测量,采用皮尔逊相关系数对测量点振动参数进行特征选择和特征降维,建立支... 为了准确预测钛合金丝材的表面粗糙度,设计了无心车床切削TC4钛合金丝材试验,对不同切削参数下无心车床的前导向机构、主轴机构、后导向机构的8通道振动参数进行测量,采用皮尔逊相关系数对测量点振动参数进行特征选择和特征降维,建立支持向量机(SVM)的表面粗糙度预测模型。在不同的主轴转速、进给速度等工艺参数下,得到SVM预测模型的表面粗糙度的预测精度:RMSE为0.0268,MAPE为0.0403,R^(2)为0.8274,基于SVM模型预测钛合金线材的表面粗糙度具有较好的精度,验证了模型的有效性。 展开更多
关键词 表面粗糙度 振动信号 支持向量机 特征降维 钛合金
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考虑振动区和水-电耦合的现货市场出清模型
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作者 熊志杰 王彦沣 +2 位作者 张大伟 张勤勤 邓志森 《四川电力技术》 2023年第3期41-45,共5页
梯级水电站优化调度模型具有振动区、带时滞、非线性等特点,其市场出清问题需要增加更多离散变量数;同时,电力市场中水力和电力存在复杂的耦合约束,使得计算时间显著增加,难以满足实际生产需求。首先,对电力现货市场水-电耦合产生的物... 梯级水电站优化调度模型具有振动区、带时滞、非线性等特点,其市场出清问题需要增加更多离散变量数;同时,电力市场中水力和电力存在复杂的耦合约束,使得计算时间显著增加,难以满足实际生产需求。首先,对电力现货市场水-电耦合产生的物理制约进行联动分析,建立了考虑水-电耦合约束的出清模型;然后,针对水-电耦合约束中振动区的大量离散变量,基于电厂的流域关系和隶属关系,将振动区相关变量和约束进行压缩;最后,基于实际电网数据开展了算例分析。结果表明,所提现货市场出清模型和变量降维方法可以有效减少含梯级水电的市场出清时间,满足电力现货市场的实际运行需求。 展开更多
关键词 梯级水电 市场出清 变量降维 振动区
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超声波功率对煤体损伤特性及能量演化规律的试验研究 被引量:2
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作者 李树刚 王瑞哲 +4 位作者 林海飞 杨二豪 赵泓超 秦雷 郝荷杰 《煤炭科学技术》 CAS CSCD 北大核心 2023年第1期283-294,共12页
为研究超声波致裂对煤体力学损伤特性及能量演化规律的影响,利用电子万能压力试验机、声发射系统、对不同功率超声波致裂煤体进行单轴压缩试验,获得了不同功率超声波致裂煤体力学损伤参数,探究了声发射信号与不同功率致裂煤体损伤参量... 为研究超声波致裂对煤体力学损伤特性及能量演化规律的影响,利用电子万能压力试验机、声发射系统、对不同功率超声波致裂煤体进行单轴压缩试验,获得了不同功率超声波致裂煤体力学损伤参数,探究了声发射信号与不同功率致裂煤体损伤参量相互关系,采用盒子分形维数分析了煤体表面裂隙分形特征,阐明了超声波不同功率致裂煤体损伤劣化机制。试验结果表明,随着超声波致裂功率增大,煤体单轴抗压强度、弹性模量逐渐降低,煤体单轴抗压强度损伤参量、弹性模量损伤参量与致裂功率呈线性相关;单轴压缩过程中声发射振铃计数可分为平静期、上升期、波动期3个阶段,随着超声波功率增大,裂纹扩展孕育期时间越短,相对时长占比越小,裂纹扩展增长速率越大,对煤体强度的弱化效果逐渐增强,声发射信号突增现象明显,煤样终态破坏更加破碎,破坏特征随着致裂功率的增大煤体从弹脆性向延–塑性转化;煤体孔裂隙扩展贯通,煤体表面裂隙分形维数损伤参量与致裂功率呈线性正相关,分形维数损伤参量越大,表明煤体裂隙形态越复杂;基于声震参数分析了煤体损伤参量与声发射归一化参数的关系,具有较好拟合关系。以上结果表明,超声波致裂作用对煤体结构造成损伤,使煤层破坏变形,形成复杂的渗流网络,提高了煤层渗透率。 展开更多
关键词 超声波功率 煤体力学 单轴压缩 声发射 分形维数 损伤机制
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超声振动作用下矿石破碎后颗粒分形特征 被引量:1
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作者 余成 蔡改贫 +2 位作者 郝书灏 赵鑫 罗小燕 《中国粉体技术》 CAS CSCD 2023年第1期71-79,共9页
以黑钨矿石为研究对象进行超声振动加载试验,通过筛分实验得到矿石破碎后颗粒的粒度分布曲线,计算颗粒的分形维数,利用分形维数定量描述矿石破碎过程,分析分形维数与静载荷、超声波输出功率及颗粒的平均粒度之间的关系。结果表明:当静... 以黑钨矿石为研究对象进行超声振动加载试验,通过筛分实验得到矿石破碎后颗粒的粒度分布曲线,计算颗粒的分形维数,利用分形维数定量描述矿石破碎过程,分析分形维数与静载荷、超声波输出功率及颗粒的平均粒度之间的关系。结果表明:当静载荷由100 N增加至500 N时,颗粒的平均粒度由19.5132 mm减小至5.0400 mm,分形维数由1.7252增大至2.5419;当超声波输出功率由1.56 kW增大至2.60 kW时,颗粒的平均粒度由19.6729 mm减小至5.0400 mm,分形维数由1.9127增大至2.5419;分形维数分别与静载荷、超声波输出功率及平均粒度之间呈现良好的线性相关性,可以直观地定量描述矿石的破碎过程。 展开更多
关键词 超声振动加载试验 筛分实验 粒度分布 分形维数 矿石破碎过程 颗粒分形特征
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