Pub Date : 2023-02-01DOI: 10.1051/jnwpu/20234110222
Y. Yu, Le Zhou, Wenxin Ruan, P. Xu, Jiaxing Shen
In order to deeply explore the potentials of micro-texture on enhancing the performances of a multi-oil wedge sliding bearing, a three-oil-wedge radial sliding bearing is taken as the prototype to simulate its bearing pressure, friction coefficient and temperature with the CFD method. According to the prototype bearing, the elliptic opening offset parabola micro texture(EOOPT) is designed. The response surface method is used to analyze the influence of EOOPT parameters on characteristics of the three-oil-wedge radial sliding bearing, and its corresponding quadratic regression equations are established. The multi-objective optimization of EOOPT parameters is carried out to obtain the optimal EOOPT parameters. The simulation results show that the sequence of influences of EOOPT parameters on the average bearing pressure and friction coefficient of the radial sliding bearing is as follows: short half axis, semi-major axis, depth, offset, texture evenly distributed angle. The sequence of influence on average temperature is depth, semi-major axis, texture evenly distributed angle, offset, short half axis. Compared with the prototype bearing, the average bearing pressure of the optimal-parameter micro-texture bearing increases by 13.7%, while the friction coefficient and average temperature decrease by 13.8% and 8.3% respectively.
{"title":"Characteristic analysis and optimization of special-shaped micro-textured multi-oil wedge sliding bearing","authors":"Y. Yu, Le Zhou, Wenxin Ruan, P. Xu, Jiaxing Shen","doi":"10.1051/jnwpu/20234110222","DOIUrl":"https://doi.org/10.1051/jnwpu/20234110222","url":null,"abstract":"In order to deeply explore the potentials of micro-texture on enhancing the performances of a multi-oil wedge sliding bearing, a three-oil-wedge radial sliding bearing is taken as the prototype to simulate its bearing pressure, friction coefficient and temperature with the CFD method. According to the prototype bearing, the elliptic opening offset parabola micro texture(EOOPT) is designed. The response surface method is used to analyze the influence of EOOPT parameters on characteristics of the three-oil-wedge radial sliding bearing, and its corresponding quadratic regression equations are established. The multi-objective optimization of EOOPT parameters is carried out to obtain the optimal EOOPT parameters. The simulation results show that the sequence of influences of EOOPT parameters on the average bearing pressure and friction coefficient of the radial sliding bearing is as follows: short half axis, semi-major axis, depth, offset, texture evenly distributed angle. The sequence of influence on average temperature is depth, semi-major axis, texture evenly distributed angle, offset, short half axis. Compared with the prototype bearing, the average bearing pressure of the optimal-parameter micro-texture bearing increases by 13.7%, while the friction coefficient and average temperature decrease by 13.8% and 8.3% respectively.","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43563872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1051/jnwpu/20224061269
Baobao Qiang, R. Tong, Jun Ye, Ze-fen Quan, Jingyan Wang, Shilin Li
Soft metals are often used for space mechanism lubrication because of their low shear strength. In outer space, the vibration of spatial mechanism will occur when there is a small disturbance due to the effects of microgravity environment. Studies on the friction properties of soft metals in vibration environment could contribute to the application of space lubrication materials. Taking a clearance joint as an example, the relative motion between the shaft and the bearing is simplified to a sliding contact between a cylinder and two smooth contact bodies. A molecular dynamics model of the collision sliding contact between a rigid cylindrical indenter and an elastic substrate is established. The effects of sliding velocity, collision velocity and indenter radius on the friction properties of soft metals are studied. The results show that the Ag substrate and Au substrate present strong adhesion to the Fe indenter. The indenter and the substrate are always in a state of adhesive sliding contact. The larger the initial collision velocity of the indenter, the higher the friction force. The friction force shows great values as the sliding velocity increases. As the increase of indenter radius, the contact area is enlarged, which results in a high friction force. The adhesion of the Cu substrate to the Fe indenter is weak, so the friction force shows a low value, and the friction performance of Cu is the best, while the friction performance of Au is the worst.
{"title":"Molecular dynamics simulation on friction performance of collision sliding contacts of soft metals in vibration environment","authors":"Baobao Qiang, R. Tong, Jun Ye, Ze-fen Quan, Jingyan Wang, Shilin Li","doi":"10.1051/jnwpu/20224061269","DOIUrl":"https://doi.org/10.1051/jnwpu/20224061269","url":null,"abstract":"Soft metals are often used for space mechanism lubrication because of their low shear strength. In outer space, the vibration of spatial mechanism will occur when there is a small disturbance due to the effects of microgravity environment. Studies on the friction properties of soft metals in vibration environment could contribute to the application of space lubrication materials. Taking a clearance joint as an example, the relative motion between the shaft and the bearing is simplified to a sliding contact between a cylinder and two smooth contact bodies. A molecular dynamics model of the collision sliding contact between a rigid cylindrical indenter and an elastic substrate is established. The effects of sliding velocity, collision velocity and indenter radius on the friction properties of soft metals are studied. The results show that the Ag substrate and Au substrate present strong adhesion to the Fe indenter. The indenter and the substrate are always in a state of adhesive sliding contact. The larger the initial collision velocity of the indenter, the higher the friction force. The friction force shows great values as the sliding velocity increases. As the increase of indenter radius, the contact area is enlarged, which results in a high friction force. The adhesion of the Cu substrate to the Fe indenter is weak, so the friction force shows a low value, and the friction performance of Cu is the best, while the friction performance of Au is the worst.","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"57899625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1051/jnwpu/20224061204
W. Xie, Yadan Zhang, Zehua Ma, Jinrong Feng, Yu Wu
Aiming at the typical five-hole structure on the aircraft skin, combined with the failure criterion of multi crack structure and considering the random factors affecting the residual life distribution of multiple crack structure, this paper applies the branch and bound algorithm to the screening of the main failure modes of typical five-hole structure, and gives the specific screening steps. The residual life of the structure is predicted by Franc3D crack propagation software, and the life interference model is established. Finally, the residual life distribution curve of the five-hole structure is formed to complete the screening of its main failure modes. The results show that the efficiency of using the algorithm to screen the main failure modes of the structure has been improved by 77.2%, and the error between the corresponding median life and that before screening is about 12%, indicating that the result of screening the main failure modes of the structure by the algorithm is more accurate. Compared with the existing test results, the median life predicted by the life distribution is more conservative and has certain reliability and accuracy. This method has certain reference significance for the evaluation of the safe life of this multi-holes structure.
{"title":"Study on main failure modes of multiple-holes structures based on branch-bound method","authors":"W. Xie, Yadan Zhang, Zehua Ma, Jinrong Feng, Yu Wu","doi":"10.1051/jnwpu/20224061204","DOIUrl":"https://doi.org/10.1051/jnwpu/20224061204","url":null,"abstract":"Aiming at the typical five-hole structure on the aircraft skin, combined with the failure criterion of multi crack structure and considering the random factors affecting the residual life distribution of multiple crack structure, this paper applies the branch and bound algorithm to the screening of the main failure modes of typical five-hole structure, and gives the specific screening steps. The residual life of the structure is predicted by Franc3D crack propagation software, and the life interference model is established. Finally, the residual life distribution curve of the five-hole structure is formed to complete the screening of its main failure modes. The results show that the efficiency of using the algorithm to screen the main failure modes of the structure has been improved by 77.2%, and the error between the corresponding median life and that before screening is about 12%, indicating that the result of screening the main failure modes of the structure by the algorithm is more accurate. Compared with the existing test results, the median life predicted by the life distribution is more conservative and has certain reliability and accuracy. This method has certain reference significance for the evaluation of the safe life of this multi-holes structure.","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48799801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Image fusion method based on JBF and multi-order local region energy","authors":"Feng Wang, Yongmei Cheng","doi":"10.1051/jnwpu/20224061414","DOIUrl":"https://doi.org/10.1051/jnwpu/20224061414","url":null,"abstract":"针对多模态医学图像融合方法融合质量差、计算效率低等问题。提出了一种基于联合双边滤波(JBF)与多阶局部区域能量(MLNE)的图像融合方法。该方法将输入图像分解成能量层和结构层, 对于能量层与结构层的融合分别提出了基于MLNE和局部区域L2范数取大值的融合方案, 融合能量层和结构层相加获得融合图像。1组不同模态的医学图像融合实验结果证明, 文中提出的方法在融合性能、计算效率、视觉评价等方面都优于其他的对比方法。","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47771100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1051/jnwpu/20224061261
Wei Zhang, H. Zhang
High dimensional small sample data is the difficulty of data mining. When using the traditional random forest algorithm for feature selection, it is to have the poor stability and low accuracy of feature importance ranking caused by over fitting of classification results. Aiming at the difficulties of random forest in the dimensionality reduction of small sample data, a feature extraction algorithm ote-gwrffs is proposed based on small sample data. Firstly, the algorithm expands the samples based on the generated countermeasure network Gan to avoid the over fitting phenomenon of traditional random forest in the small sample classification. Then, on the basis of data expansion, the optimal tree set algorithm based on weight is adopted to reduce the impact of data distribution error on feature extraction accuracy and improve the overall stability of decision tree set. Finally, the weighted average of the weight and feature importance measure of a single decision tree is used to obtain the feature importance ranking, which solves the problem of low accuracy and poor stability in the feature selection process of small sample data. Through the UCI data set, the present algorithm is compared with the traditional random forest algorithm and the weight based random forest algorithm. The ote-gwrffs algorithm has higher stability and accuracy for processing high-dimensional and small sample data.
{"title":"A feature extraction method for small sample data based on optimal ensemble random forest","authors":"Wei Zhang, H. Zhang","doi":"10.1051/jnwpu/20224061261","DOIUrl":"https://doi.org/10.1051/jnwpu/20224061261","url":null,"abstract":"High dimensional small sample data is the difficulty of data mining. When using the traditional random forest algorithm for feature selection, it is to have the poor stability and low accuracy of feature importance ranking caused by over fitting of classification results. Aiming at the difficulties of random forest in the dimensionality reduction of small sample data, a feature extraction algorithm ote-gwrffs is proposed based on small sample data. Firstly, the algorithm expands the samples based on the generated countermeasure network Gan to avoid the over fitting phenomenon of traditional random forest in the small sample classification. Then, on the basis of data expansion, the optimal tree set algorithm based on weight is adopted to reduce the impact of data distribution error on feature extraction accuracy and improve the overall stability of decision tree set. Finally, the weighted average of the weight and feature importance measure of a single decision tree is used to obtain the feature importance ranking, which solves the problem of low accuracy and poor stability in the feature selection process of small sample data. Through the UCI data set, the present algorithm is compared with the traditional random forest algorithm and the weight based random forest algorithm. The ote-gwrffs algorithm has higher stability and accuracy for processing high-dimensional and small sample data.","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46958326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Accurate prediction of spot colors is one of the important technologies in the field of packaging and printing. In order to obtain more accurate spot color formulas and improve the accuracy of spot color matching, a spot color formula prediction method combining least squares method and enhanced longicorn whisker search algorithm was proposed, and absorbance was used to solve the problem of spot color formula prediction. Studied the spectral model of high transmittance PET film and constructed an absorption spectral mechanism model; We proposed an enhanced longicorn whisker search algorithm, which introduces mutation probability terms and direction correction terms on the basis of traditional longicorn whisker search algorithms to improve the search ability and convergence speed of the algorithm; Optimize the color gamut space using the least squares method, reduce the search dimension of the primary color, and improve the optimization efficiency. The proposed enhanced longicorn whisker search algorithm is applied to solve the proportion of each primary color, predict the spot color formula, and compare it with traditional longicorn whisker algorithm, particle swarm algorithm, and ant colony algorithm to verify the effectiveness and superiority of the proposed method in spot color prediction. The research results show that the proposed method has higher accuracy compared to the existing three methods. The color difference between the original spot color and the predicted spot color is less than 3, and 90% of the color difference is less than 1, while 40% of the color difference is less than 0.1. The proposed method has a significant effect on improving the color matching accuracy of spot color inks and can accurately predict spot color formulas.
{"title":"Enhanced beetle antennae search algorithm for spot color prediction","authors":"Zehai Gao, Yang Liu, Jie Chen, Molin Chu, Yan Zhang, Changsen Li","doi":"10.1051/jnwpu/20224061422","DOIUrl":"https://doi.org/10.1051/jnwpu/20224061422","url":null,"abstract":"专色的准确预测是包装印刷领域的重要技术之一。为了得到更加准确的专色配方, 提高专色配色精度, 提出了一种结合最小二乘法和增强天牛须搜索算法的专色配方预测方法, 并利用吸光度来解决专色配方的预测问题。研究了高透光特性PET薄膜的光谱模型, 并构建了吸收光谱机理模型; 提出了增强天牛须搜索算法, 在传统天牛须搜索算法的基础上, 引入突变概率项和方向修正项, 提升算法的搜索能力和收敛速度; 利用最小二乘法优化配色色域空间, 降低基色搜索维度, 提高寻优效率。应用所提出的增强天牛须搜索算法求解各基色比例, 预测专色配方, 并与传统天牛须算法、粒子群算法和蚁群算法进行比较, 验证所提方法在专色预测方面的有效性和优越性。研究结果表明, 所提方法与现有的3种方法相比, 具有更高的精度, 原有专色和预测专色之间色差均小于3, 且90%的色差小于1, 40%的色差小于0.1, 所提方法对于提高专色油墨的配色精度具有显著效果, 可准确地预测专色配方。","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47602445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1051/jnwpu/20224061278
Haijie Shi, Jinghua Li, Hong Chang
In order to meet the needs of target detection in shallow water with concealed and low energy consumption platform, the Bayesian estimation theory was applied to underwater acoustic location. The underwater acoustic location model was established based on probability density function as the description of sound source state, so as to overcome the problems of unstable shallow water environment and mismatching of sound field model. Histogram filtering method is used to solve the integral solution in the process of posterior probability estimation of sound source state. The hierarchical grid histogram filtering method is proposed for the first time, which effectively improves the efficiency of histogram filtering iterative algorithm. The measured data and simulation results of SWelleX-96 show that the depth positioning accuracy can reach 35 m and the distance positioning accuracy can reach 0.69 km within the range of 200 m deep and 10 km long in shallow water environment, and the efficiency of the algorithm can be improved by N1/2 times.
{"title":"Study on passive location method of shallow water acoustic source with single hydrophone","authors":"Haijie Shi, Jinghua Li, Hong Chang","doi":"10.1051/jnwpu/20224061278","DOIUrl":"https://doi.org/10.1051/jnwpu/20224061278","url":null,"abstract":"In order to meet the needs of target detection in shallow water with concealed and low energy consumption platform, the Bayesian estimation theory was applied to underwater acoustic location. The underwater acoustic location model was established based on probability density function as the description of sound source state, so as to overcome the problems of unstable shallow water environment and mismatching of sound field model. Histogram filtering method is used to solve the integral solution in the process of posterior probability estimation of sound source state. The hierarchical grid histogram filtering method is proposed for the first time, which effectively improves the efficiency of histogram filtering iterative algorithm. The measured data and simulation results of SWelleX-96 show that the depth positioning accuracy can reach 35 m and the distance positioning accuracy can reach 0.69 km within the range of 200 m deep and 10 km long in shallow water environment, and the efficiency of the algorithm can be improved by N1/2 times.","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42159304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1051/jnwpu/20224061297
Bin Hu, Yahui Zhu, Zhize Du, Zixin Zhao, Yannian Zhou
Multi-target hunting of UAV swarm is an important tactical means. This paper proposes a hunting strategy based on improved K-means and the shortest time mechanism. The large-scale task assignment problem is complex in structure and difficult to solve. To obtain higher hunting efficiency and reduce the amount of calculation on the single UAV, the hybrid architecture is used to decompose the complex multi-target hunting problem into a set of tasks that the UAV need to perform, which reduces the coupling of the system and the complexity of problem. Firstly, the multi-target hunting problem is stratified by the improved K-means algorithm to form multiple independent single target hunting subsystems. In the subsystem, the single target hunting task is decomposed into multiple subtasks that are easy to be executed by UAVs, and a one-to-one matching relationship between subtasks and UAVs is established by using the shortest time mechanism. UAV swarm can achieve multi-target hunting only by executing subtasks. The simulation results show that the UAV swarm can effectively allocate the multi-target hunting problem, which proves the effectiveness of the allocation strategy is proved.
{"title":"Multi-target assignment hunting strategy of UAV swarm based on improved K-means algorithm and shortest time mechanism","authors":"Bin Hu, Yahui Zhu, Zhize Du, Zixin Zhao, Yannian Zhou","doi":"10.1051/jnwpu/20224061297","DOIUrl":"https://doi.org/10.1051/jnwpu/20224061297","url":null,"abstract":"Multi-target hunting of UAV swarm is an important tactical means. This paper proposes a hunting strategy based on improved K-means and the shortest time mechanism. The large-scale task assignment problem is complex in structure and difficult to solve. To obtain higher hunting efficiency and reduce the amount of calculation on the single UAV, the hybrid architecture is used to decompose the complex multi-target hunting problem into a set of tasks that the UAV need to perform, which reduces the coupling of the system and the complexity of problem. Firstly, the multi-target hunting problem is stratified by the improved K-means algorithm to form multiple independent single target hunting subsystems. In the subsystem, the single target hunting task is decomposed into multiple subtasks that are easy to be executed by UAVs, and a one-to-one matching relationship between subtasks and UAVs is established by using the shortest time mechanism. UAV swarm can achieve multi-target hunting only by executing subtasks. The simulation results show that the UAV swarm can effectively allocate the multi-target hunting problem, which proves the effectiveness of the allocation strategy is proved.","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48744833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The distribution pattern and calculation method of soil pressure have always been a difficult problem in the research of reinforced soil retaining walls. The magnitude and distribution of active earth pressure on reinforced soil retaining walls under different working conditions were investigated using finite element method. A method for calculating soil pressure in non limit states is proposed based on the dynamic performance of internal and external friction angles, and its rationality is verified by comparing it with traditional theoretical formula solutions, finite element numerical solutions, and measured results. The results show that the numerical value of soil pressure on the retaining wall is influenced by the stiffness and number of layers of the geogrid, showing a trend of gradually decreasing soil pressure as the number of reinforcement layers and stiffness increase. The magnitude of soil pressure on retaining walls is negatively correlated with depth. The trend of soil pressure on reinforced retaining walls varies little with depth under different working conditions, and the reinforcement effect is mainly reflected in the upper part of the retaining wall. The non limit state calculation results obtained by using the improved empirical formula are consistent with the measured results as a whole, proving the rationality of the improved formula.
{"title":"Analysis of earth pressure on geogrid reinforced retaining wall and improvement of its calculation method","authors":"Lihua Li, Zhigang Zheng, Han Yan, Shaoping Huang, Xinlong Zhou","doi":"10.1051/jnwpu/20224061366","DOIUrl":"https://doi.org/10.1051/jnwpu/20224061366","url":null,"abstract":"土压力分布规律与计算方法一直是加筋土挡墙研究中的难点问题。通过有限元方法探究了不同工况下加筋土挡墙主动土压力的大小和分布规律。结合内、外摩擦角的动态发挥提出针对非极限状态下的土压力计算方法, 并与传统理论公式解、有限元数值解和实测结果进行对比, 验证其合理性。结果表明: 挡墙土压力数值大小受到土工格栅刚度和层数影响, 呈现出随配筋层数和刚度增加, 土压力逐渐减小的趋势。挡墙土压力大小与深度呈负相关, 不同工况下加筋土挡墙土压力随深度变化趋势差异不大, 加筋效果主要体现在挡墙上部。采用改进经验公式得到的非极限状态计算结果与实测结果整体一致, 证明了改进公式的合理性。","PeriodicalId":39691,"journal":{"name":"西北工业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44784916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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