In order to study the time-frequency characteristics of blasting vibration signals, measured in milliseconds, we carried out site blasting vibration tests at an open pit of the Jinduicheng Mine. Based on recorded fiel...In order to study the time-frequency characteristics of blasting vibration signals, measured in milliseconds, we carried out site blasting vibration tests at an open pit of the Jinduicheng Mine. Based on recorded field data and applying a combination of RSPWVD and wavelet, we analyzed the time-fre- quency characteristics of recorded field data, summarized the time-frequency characteristics of blasting vibration signals in different frequency bands and present detailed information of blasting vibration sig- nals in milliseconds of high time-frequency resolutions. Because RSPWVD can be seen as of definite physical significance to signal energy distribution in time and frequency domains, we studied the energy distribution of blasting vibration signals for various milliseconds intervals from a perspective of energy distribution. The results indicate that the effect of milliseconds intervals on time-frequency characteris- tics of blasting vibration signals is significant; the length of delay time directly affects the energy distri- bution of blasting vibration signals as well as the duration of energy in ffeauencv bands.展开更多
受测试环境影响,隧道爆破监测信号中普遍包含噪声和趋势项干扰。针对爆破信号干扰项消除难题,选取典型地铁隧道工程监测到的畸变爆破信号为分析对象,采用稀疏化基线估计与去噪(baseline estimation and denoising with sparsity,BEADS)...受测试环境影响,隧道爆破监测信号中普遍包含噪声和趋势项干扰。针对爆破信号干扰项消除难题,选取典型地铁隧道工程监测到的畸变爆破信号为分析对象,采用稀疏化基线估计与去噪(baseline estimation and denoising with sparsity,BEADS)算法实现了噪声和趋势项成分的提取,得到反映真实爆破信息的校正信号。利用多重分形去趋势波动分析(multi-fractal detrended fluctuation analyses,MF-DFA)捕捉到三个分量信号的混沌分形特征,并根据小波相关性凝聚谱对三个分量信号与原始信号的时频域相关性进行了精确表征。结果表明:隧道爆破信号高频噪声、低频趋势项和校正信号三者的混沌分形特征具有显著差异。校正信号吸引子轨迹形态为反复周期性有序波动且具有持续性和反持续性分形谱特征,其递归图具有周期模式;低频趋势项吸引子形态表现为近似直线且具有持续性分形谱特征,其递归图具有对角线分布突变模式;高频噪声吸引子形态为杂乱无章的随机波动且具有反持续性分形谱特征,其递归图具有漂移模式。在置信度为95%的小波影响锥范围内,校正信号、趋势项和噪声分量与原始信号分别具有持续正相关、局部负相关和无相关性特征。三类信号的有效分离和混沌分形特征提取为爆破信号成分的准确辨识和归类提供了客观表征和量化指标。展开更多
This study explores the key physicochemical factors affecting the hydrophilic characteristics of iron mine blasting dust(BD). The BD is separated into an unwetted part(UWBD, hydrophobic part) and a wetted part(WBD, hy...This study explores the key physicochemical factors affecting the hydrophilic characteristics of iron mine blasting dust(BD). The BD is separated into an unwetted part(UWBD, hydrophobic part) and a wetted part(WBD, hydrophilic part). Its particle size, true density(TD), pore parameters, mineral composition, and surface compounds are comprehensively characterized and compared. The results indicate that a smaller particle size and more developed pore parameters are two key factors responsible for the strong hydrophobicity of the BD. The mineral composition of the BD has no direct effect on its wetting properties;however, it indirectly influences the deposition characteristics of the BD in water by affecting its TD. Unlike coal dust, the surface organic composition of the BD does not affect its wettability and the peak area of C–C/C–H hydrophobic groups in the C 1s X-ray photoelectron spectrum of the UWBD(45.03%) is smaller than that in the C 1s spectrum of the WBD(68.30%). Thus, eleven co-influencing processes of physicochemical properties of the BD on its wettability are summarized. This research sheds light on the key factors affecting the wettability of the BD.展开更多
基金supported by the Fundamental Research Funds for Central Universities (No.2010-Ia-060)
文摘In order to study the time-frequency characteristics of blasting vibration signals, measured in milliseconds, we carried out site blasting vibration tests at an open pit of the Jinduicheng Mine. Based on recorded field data and applying a combination of RSPWVD and wavelet, we analyzed the time-fre- quency characteristics of recorded field data, summarized the time-frequency characteristics of blasting vibration signals in different frequency bands and present detailed information of blasting vibration sig- nals in milliseconds of high time-frequency resolutions. Because RSPWVD can be seen as of definite physical significance to signal energy distribution in time and frequency domains, we studied the energy distribution of blasting vibration signals for various milliseconds intervals from a perspective of energy distribution. The results indicate that the effect of milliseconds intervals on time-frequency characteris- tics of blasting vibration signals is significant; the length of delay time directly affects the energy distri- bution of blasting vibration signals as well as the duration of energy in ffeauencv bands.
文摘受测试环境影响,隧道爆破监测信号中普遍包含噪声和趋势项干扰。针对爆破信号干扰项消除难题,选取典型地铁隧道工程监测到的畸变爆破信号为分析对象,采用稀疏化基线估计与去噪(baseline estimation and denoising with sparsity,BEADS)算法实现了噪声和趋势项成分的提取,得到反映真实爆破信息的校正信号。利用多重分形去趋势波动分析(multi-fractal detrended fluctuation analyses,MF-DFA)捕捉到三个分量信号的混沌分形特征,并根据小波相关性凝聚谱对三个分量信号与原始信号的时频域相关性进行了精确表征。结果表明:隧道爆破信号高频噪声、低频趋势项和校正信号三者的混沌分形特征具有显著差异。校正信号吸引子轨迹形态为反复周期性有序波动且具有持续性和反持续性分形谱特征,其递归图具有周期模式;低频趋势项吸引子形态表现为近似直线且具有持续性分形谱特征,其递归图具有对角线分布突变模式;高频噪声吸引子形态为杂乱无章的随机波动且具有反持续性分形谱特征,其递归图具有漂移模式。在置信度为95%的小波影响锥范围内,校正信号、趋势项和噪声分量与原始信号分别具有持续正相关、局部负相关和无相关性特征。三类信号的有效分离和混沌分形特征提取为爆破信号成分的准确辨识和归类提供了客观表征和量化指标。
基金financially supported by the National Key Research and Development Program of China (No. 2017YFC0805204)the National Natural Science Foundation of China (Nos. 51874015 and 51504017)
文摘This study explores the key physicochemical factors affecting the hydrophilic characteristics of iron mine blasting dust(BD). The BD is separated into an unwetted part(UWBD, hydrophobic part) and a wetted part(WBD, hydrophilic part). Its particle size, true density(TD), pore parameters, mineral composition, and surface compounds are comprehensively characterized and compared. The results indicate that a smaller particle size and more developed pore parameters are two key factors responsible for the strong hydrophobicity of the BD. The mineral composition of the BD has no direct effect on its wetting properties;however, it indirectly influences the deposition characteristics of the BD in water by affecting its TD. Unlike coal dust, the surface organic composition of the BD does not affect its wettability and the peak area of C–C/C–H hydrophobic groups in the C 1s X-ray photoelectron spectrum of the UWBD(45.03%) is smaller than that in the C 1s spectrum of the WBD(68.30%). Thus, eleven co-influencing processes of physicochemical properties of the BD on its wettability are summarized. This research sheds light on the key factors affecting the wettability of the BD.
