Based on the CNN-LSTM fusion deep neural network,this paper proposes a seismic velocity model building method that can simultaneously estimate the root mean square(RMS)velocity and interval velocity from the common-mi...Based on the CNN-LSTM fusion deep neural network,this paper proposes a seismic velocity model building method that can simultaneously estimate the root mean square(RMS)velocity and interval velocity from the common-midpoint(CMP)gather.In the proposed method,a convolutional neural network(CNN)Encoder and two long short-term memory networks(LSTMs)are used to extract spatial and temporal features from seismic signals,respectively,and a CNN Decoder is used to recover RMS velocity and interval velocity of underground media from various feature vectors.To address the problems of unstable gradients and easily fall into a local minimum in the deep neural network training process,we propose to use Kaiming normal initialization with zero negative slopes of rectifi ed units and to adjust the network learning process by optimizing the mean square error(MSE)loss function with the introduction of a freezing factor.The experiments on testing dataset show that CNN-LSTM fusion deep neural network can predict RMS velocity as well as interval velocity more accurately,and its inversion accuracy is superior to that of single neural network models.The predictions on the complex structures and Marmousi model are consistent with the true velocity variation trends,and the predictions on fi eld data can eff ectively correct the phase axis,improve the lateral continuity of phase axis and quality of stack section,indicating the eff ectiveness and decent generalization capability of the proposed method.展开更多
Due to the inherent complexity, traditional ant colony optimization （ACO） algorithm is inadequate and insufficient to the reactive power optimization for distribution network. Therefore, firstly the ACO algorithm is...Due to the inherent complexity, traditional ant colony optimization （ACO） algorithm is inadequate and insufficient to the reactive power optimization for distribution network. Therefore, firstly the ACO algorithm is improved in two aspects： pheromone mutation and re-initialization strategy. Then the thought of differential evolution （DE） algorithm is proposed to be merged into ACO, and by producing new individuals with random deviation disturbance of DE, pheromone quantity left by ants is disturbed appropriately, to search the optimal path, by which the ability of search having been improved. The proposed algorithm is tested on IEEE30-hus system and actual distribution network, and the reactive power optimization results are calculated to verify the feasibility and effectiveness of the improved algorithm.展开更多
Black shale is widely distributed in southern and western China.The swelling and breakdown characteristics of black shale are important physicomechanical properties in engineering activities.Aqueous solutions with dif...Black shale is widely distributed in southern and western China.The swelling and breakdown characteristics of black shale are important physicomechanical properties in engineering activities.Aqueous solutions with different compositions exert various influences on the swelling characteristic of black shale because of the complexity of its composition.Soils derived from black shale are most commonly developed on black shales with bedded horizons that generally have cutting and weathering profiles.This paper reports an axial free swelling study for soils derived from black shales and developed in the Lower Cambrian black shales in Chengkou County,Chongqing Municipality,Southwest China.To discuss the swelling characteristics of black shale under the influence of cations,an axial free swelling test was conducted on black shale samples while considering the initial water content,weathering stage of black shale,and different cationic solutions with various concentrations.Results showed that the swelling deformation curve of black shale could be divided into three phases:acceleration,deceleration,and stability.The axial swelling ratio eventually decreased with increasing water content,and the axial free swelling rate changed with the free expansion model of the exponential relationship.Under a constant initial water content,the axial swelling rate increased with the intensity of black shale weathering in the same immersion solution.When different types of immersion solutions were used,the cationic price was high and the axial swelling rate increased with rising cation valence.The changes in the swelling ratio were significant at a valence of one or two.The results of this study provide further understanding of the engineering geological characteristics of black shale and the geological hazards caused by the swelling characteristics of black shale.展开更多
The effects of soil texture, initial water content and bulk density on diesel oil infiltration in fine sand and silty clay loam materials were evaluated. Three physical and two empirical equations express diesel oil i...The effects of soil texture, initial water content and bulk density on diesel oil infiltration in fine sand and silty clay loam materials were evaluated. Three physical and two empirical equations express diesel oil infiltration through soils with time, with coefficients of determination greater than 0.99. Diesel oil infiltrates more quickly in the fine sand than in the silty clay loam material. Diesel oil infiltration rates are found to decrease with increasing initial water content and bulk density for the silty clay loam material. The infiltration rate of diesel oil in the fine sand material increases slightly with increasing initial water content. The diesel oil saturated conductivity(Kdiesel) decreases with increasing bulk density for the silty clay loam column. Diesel oil sorptivity(S) decreases linearly with increased initial water content and bulk density of the silty clay loam material. Changes in empirical parameters relative to initial water content and bulk density are similar to the parameter S.展开更多
基金financially supported by the Key Project of National Natural Science Foundation of China (No. 41930431)the Project of National Natural Science Foundation of China (Nos. 41904121, 41804133, and 41974116)Joint Guidance Project of Natural Science Foundation of Heilongjiang Province (No. LH2020D006)
文摘Based on the CNN-LSTM fusion deep neural network,this paper proposes a seismic velocity model building method that can simultaneously estimate the root mean square(RMS)velocity and interval velocity from the common-midpoint(CMP)gather.In the proposed method,a convolutional neural network(CNN)Encoder and two long short-term memory networks(LSTMs)are used to extract spatial and temporal features from seismic signals,respectively,and a CNN Decoder is used to recover RMS velocity and interval velocity of underground media from various feature vectors.To address the problems of unstable gradients and easily fall into a local minimum in the deep neural network training process,we propose to use Kaiming normal initialization with zero negative slopes of rectifi ed units and to adjust the network learning process by optimizing the mean square error(MSE)loss function with the introduction of a freezing factor.The experiments on testing dataset show that CNN-LSTM fusion deep neural network can predict RMS velocity as well as interval velocity more accurately,and its inversion accuracy is superior to that of single neural network models.The predictions on the complex structures and Marmousi model are consistent with the true velocity variation trends,and the predictions on fi eld data can eff ectively correct the phase axis,improve the lateral continuity of phase axis and quality of stack section,indicating the eff ectiveness and decent generalization capability of the proposed method.
文摘Due to the inherent complexity, traditional ant colony optimization （ACO） algorithm is inadequate and insufficient to the reactive power optimization for distribution network. Therefore, firstly the ACO algorithm is improved in two aspects： pheromone mutation and re-initialization strategy. Then the thought of differential evolution （DE） algorithm is proposed to be merged into ACO, and by producing new individuals with random deviation disturbance of DE, pheromone quantity left by ants is disturbed appropriately, to search the optimal path, by which the ability of search having been improved. The proposed algorithm is tested on IEEE30-hus system and actual distribution network, and the reactive power optimization results are calculated to verify the feasibility and effectiveness of the improved algorithm.
基金sponsored by the Natural Science Foundation of China (Grant Nos.41172261 and 41472256)supported by the Scientific Research Fund of Sichuan Provincial Education Department (Grant Nos.13ZA0173 and 15ZA0121)
文摘Black shale is widely distributed in southern and western China.The swelling and breakdown characteristics of black shale are important physicomechanical properties in engineering activities.Aqueous solutions with different compositions exert various influences on the swelling characteristic of black shale because of the complexity of its composition.Soils derived from black shale are most commonly developed on black shales with bedded horizons that generally have cutting and weathering profiles.This paper reports an axial free swelling study for soils derived from black shales and developed in the Lower Cambrian black shales in Chengkou County,Chongqing Municipality,Southwest China.To discuss the swelling characteristics of black shale under the influence of cations,an axial free swelling test was conducted on black shale samples while considering the initial water content,weathering stage of black shale,and different cationic solutions with various concentrations.Results showed that the swelling deformation curve of black shale could be divided into three phases:acceleration,deceleration,and stability.The axial swelling ratio eventually decreased with increasing water content,and the axial free swelling rate changed with the free expansion model of the exponential relationship.Under a constant initial water content,the axial swelling rate increased with the intensity of black shale weathering in the same immersion solution.When different types of immersion solutions were used,the cationic price was high and the axial swelling rate increased with rising cation valence.The changes in the swelling ratio were significant at a valence of one or two.The results of this study provide further understanding of the engineering geological characteristics of black shale and the geological hazards caused by the swelling characteristics of black shale.
基金Projects(40272108,41402208)supported by the National Natural Science Foundation of ChinaProjects(ZR2012DL05,ZR2015EL044)supported by Shandong Provincial Natural Science Foundation,China+1 种基金Project(4072-114017)supported by Young Teachers’ Development of Shandong University of Technology,ChinaProject(J12LC51)supported by Shandong Province Higher Educational Science and Technology Program,China
文摘The effects of soil texture, initial water content and bulk density on diesel oil infiltration in fine sand and silty clay loam materials were evaluated. Three physical and two empirical equations express diesel oil infiltration through soils with time, with coefficients of determination greater than 0.99. Diesel oil infiltrates more quickly in the fine sand than in the silty clay loam material. Diesel oil infiltration rates are found to decrease with increasing initial water content and bulk density for the silty clay loam material. The infiltration rate of diesel oil in the fine sand material increases slightly with increasing initial water content. The diesel oil saturated conductivity(Kdiesel) decreases with increasing bulk density for the silty clay loam column. Diesel oil sorptivity(S) decreases linearly with increased initial water content and bulk density of the silty clay loam material. Changes in empirical parameters relative to initial water content and bulk density are similar to the parameter S.
