Pub Date : 2023-09-01DOI: 10.3724/sp.j.1249.2023.05546
Wusheng LIU, Wang LI, Qing ZHOU, Qing ZENG, Tianyi LIU
{"title":"Commuting rideshare route planning method under public health events","authors":"Wusheng LIU, Wang LI, Qing ZHOU, Qing ZENG, Tianyi LIU","doi":"10.3724/sp.j.1249.2023.05546","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.05546","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135348010","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 : 2023-09-01DOI: 10.3724/sp.j.1249.2023.05564
Xianfeng WANG, Shaocong CHEN, Jian LIU, Weilun WANG
WANG Xianfeng, CHEN Shaocong, LIU Jian, and WANG Weilun College of Civil and Transportation Engineering, Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, Shenzhen 518060, Guangdong Province, P. R. China A bstract: In order to improve the self-healing property of concrete, a lightweight aggregate concrete mixed with mineral and water-absorbing resin was designed. Based on impedance spectroscopy testing, the effects of different particle size of absorbent polymers on the self-healing property of concrete were compared. Impedance spectroscopy and X-ray diffraction (XRD) testing were carried out to evaluate the effect of curing age on the optimized mixture. The results show that the absorbent polymer with particle size between 500~600 μm is more conducive to the improvement of self-healing property. The self-healing composite system demonstrates long-term self-healing capabilities. XRD testing confirms that the healing products to fill the cracks are mainly calcium carbonate. Good self-healing performance is shown in the proposed composite self-healing system. A new approach is explored to expand the self-healing strategy of concrete.
{"title":"Self-healing properties of lightweight aggregate concrete with mineral additions and water-absorbing resins","authors":"Xianfeng WANG, Shaocong CHEN, Jian LIU, Weilun WANG","doi":"10.3724/sp.j.1249.2023.05564","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.05564","url":null,"abstract":"WANG Xianfeng, CHEN Shaocong, LIU Jian, and WANG Weilun College of Civil and Transportation Engineering, Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, Shenzhen 518060, Guangdong Province, P. R. China A bstract: In order to improve the self-healing property of concrete, a lightweight aggregate concrete mixed with mineral and water-absorbing resin was designed. Based on impedance spectroscopy testing, the effects of different particle size of absorbent polymers on the self-healing property of concrete were compared. Impedance spectroscopy and X-ray diffraction (XRD) testing were carried out to evaluate the effect of curing age on the optimized mixture. The results show that the absorbent polymer with particle size between 500~600 μm is more conducive to the improvement of self-healing property. The self-healing composite system demonstrates long-term self-healing capabilities. XRD testing confirms that the healing products to fill the cracks are mainly calcium carbonate. Good self-healing performance is shown in the proposed composite self-healing system. A new approach is explored to expand the self-healing strategy of concrete.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135348005","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 : 2023-09-01DOI: 10.3724/sp.j.1249.2023.05571
Dongdong WANG, Shunqun LI, Lixiang WANG
{"title":"Mechanical response of grading loading and unloading of backfill sand under confinement constraint","authors":"Dongdong WANG, Shunqun LI, Lixiang WANG","doi":"10.3724/sp.j.1249.2023.05571","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.05571","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135348008","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 : 2023-09-01DOI: 10.3724/sp.j.1249.2023.05622
Chuanzhi CUI, Shuiqingshan LU, Zhongwei WU, Pingyuan GAI, Tingfeng LIU
{"title":"Deep-learning-based prediction method of steam channeling time in heavy oil reservoirs","authors":"Chuanzhi CUI, Shuiqingshan LU, Zhongwei WU, Pingyuan GAI, Tingfeng LIU","doi":"10.3724/sp.j.1249.2023.05622","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.05622","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135348001","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 : 2023-09-01DOI: 10.3724/sp.j.1249.2023.05539
Xin GE, Yuzhao ZHANG, Zhipeng HUANG
Abstract: Multiple units train generates a large amount of regenerative braking energy during braking, which can be used by traction trains in the same power supply zone. Making full use of this regenerative energy is of great practical significance for green transportation on high-speed rail. In this study, we construct an integer programming model with the goal of maximizing the utilization of the regenerative braking energy in the timetable. We solve the model by using the Gurobi solver under the consideration of the constraints such as the safe running interval of multiple trains and the connection of electric multiple unit trains (EMUs). Finally, we test the validity of the model by an example. The results show that the optimized train schedule has 49. 3% utilization rate of regenerative braking energy, saving 14 967. 622 kW‧h of traction energy consumption, indicating significant energy-saving effects. Through the compara⁃ tive analysis with the simulated annealing algorithm, we conclude that the Gurobi solver is better in terms of accuracy and efficiency. The proposed method can provide a reference for operating departments to formulate the energysaving timetables.
{"title":"Optimization of high-speed train timetable based on regenerative braking energy utilization","authors":"Xin GE, Yuzhao ZHANG, Zhipeng HUANG","doi":"10.3724/sp.j.1249.2023.05539","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.05539","url":null,"abstract":"Abstract: Multiple units train generates a large amount of regenerative braking energy during braking, which can be used by traction trains in the same power supply zone. Making full use of this regenerative energy is of great practical significance for green transportation on high-speed rail. In this study, we construct an integer programming model with the goal of maximizing the utilization of the regenerative braking energy in the timetable. We solve the model by using the Gurobi solver under the consideration of the constraints such as the safe running interval of multiple trains and the connection of electric multiple unit trains (EMUs). Finally, we test the validity of the model by an example. The results show that the optimized train schedule has 49. 3% utilization rate of regenerative braking energy, saving 14 967. 622 kW‧h of traction energy consumption, indicating significant energy-saving effects. Through the compara⁃ tive analysis with the simulated annealing algorithm, we conclude that the Gurobi solver is better in terms of accuracy and efficiency. The proposed method can provide a reference for operating departments to formulate the energysaving timetables.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135348000","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":"Transient control strategy of doubly-fed fan based on zero dynamic and super twist control","authors":"Xiaoying ZHANG, Zijiang SHU, Hongqiang WU","doi":"10.3724/sp.j.1249.2023.05599","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.05599","url":null,"abstract":"摘 要:为充分考虑双馈感应发电机(doubly-fed induction generator, DFIG)故障状况下的非线性特性, 使用一种参数自适应超扭曲滑模控制器(super-twisting adaptive sliding mode control, STASMC)对多输入多输 出(multiple input multiple output, MIMO)系统的零动态(zero dynamics, ZD)方法进行改进,提出一种 ZDSTASMC控制方法用来提高DFIG的暂态电压稳定性.使用ZD方法解耦了原始系统的内部和外部动态,简 化控制设计任务.为进一步提高在参数不确定性和外部扰动下的电压调节能力,将ZD方法与STASMC相结 合,通过STASMC构造辅助输入提升了DFIG的暂态性能,减少建模误差和实际过程中各种误差的影响.改 进后的ZD方法可减小线性化误差的影响,加强了DFIG的暂态性能.通过算例在三相故障下的仿真,验证 了所提ZD-STASMC控制相比ZD控制方法以及常规比例-积分控制方法,在故障期间有更好的暂态性能,故 障切除后也能更快恢复稳定.ZD-STASMC策略能有效增强DFIG的故障穿越能力.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135347998","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 : 2023-09-01DOI: 10.3724/sp.j.1249.2023.05578
Tao YANG, Meimei YAN, Shuailei LIU, Xingru LI, Mengyao WANG
Abstract: To address the challenges of managing and mitigating the environmental impact posed by the large amount of underground residual soil generated during underground construction, a composite material known as recycled solidified soil (RSS) was developed using this underground construction residual soil. Through a series of laboratory tests, including mix design, slump spread, unconfined compressive strength, and X-ray diffraction, the basic properties and regenerative curing mechanism of RSS were investigated under various curing conditions, water-tosolid ratios (the total mass ratio of water to air-dried residual soil and cementitious material), cement mass fractions and mineral admixtures. The results show that the fluidity of the RSS can meet the requirements of general backfilling projects at a water-to-solid ratio of 0. 35. The unconfined compressive strength of the RSS increases with curing time, higher cement mass fractions and water-to-solid ratios under different curing conditions, with lower strength of underwater curing compared to indoor curing. The establishment of strength in the RSS is primarily attributed to the cementation between hydration products and soil particles. The findings of this study offer valuable insights into the treatment and resource utilization of engineering residues and serve as a reference for addressing these challenges.
{"title":"The mechanical properties of recycled solidified soil from underground construction spoils","authors":"Tao YANG, Meimei YAN, Shuailei LIU, Xingru LI, Mengyao WANG","doi":"10.3724/sp.j.1249.2023.05578","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.05578","url":null,"abstract":"Abstract: To address the challenges of managing and mitigating the environmental impact posed by the large amount of underground residual soil generated during underground construction, a composite material known as recycled solidified soil (RSS) was developed using this underground construction residual soil. Through a series of laboratory tests, including mix design, slump spread, unconfined compressive strength, and X-ray diffraction, the basic properties and regenerative curing mechanism of RSS were investigated under various curing conditions, water-tosolid ratios (the total mass ratio of water to air-dried residual soil and cementitious material), cement mass fractions and mineral admixtures. The results show that the fluidity of the RSS can meet the requirements of general backfilling projects at a water-to-solid ratio of 0. 35. The unconfined compressive strength of the RSS increases with curing time, higher cement mass fractions and water-to-solid ratios under different curing conditions, with lower strength of underwater curing compared to indoor curing. The establishment of strength in the RSS is primarily attributed to the cementation between hydration products and soil particles. The findings of this study offer valuable insights into the treatment and resource utilization of engineering residues and serve as a reference for addressing these challenges.","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135348003","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 : 2023-09-01DOI: 10.3724/sp.j.1249.2023.05588
Jiangwan XU, Shaopeng HUANG, Zheng’an WEI, Yongyi LI
{"title":"Spatial characteristics of geothermal anomalies in the Guangdong-Hong Kong-Macao Greater Bay Area based on GIS","authors":"Jiangwan XU, Shaopeng HUANG, Zheng’an WEI, Yongyi LI","doi":"10.3724/sp.j.1249.2023.05588","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.05588","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135348009","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 : 2023-09-01DOI: 10.3724/sp.j.1249.2023.05529
Qian XU, Lei ZHANG, Dongxiu OU, Yunpeng HE
XU Qian 1, , ZHANG Lei 1, , OU Dongxiu 1, , and HE Yunpeng 3 1) Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai 201804, P. R. China 2) College of Transportation Engineering, Tongji University, Shanghai 201804, P. R. China 3) China Railway Siyuan Survey and Design Group Co. Ltd. , Wuhan 430063, Hubei Province, P. R. China Abstract: The on-board equipment of metro communication based train control (CBTC) is facing laborious maintenance problems, and its textual maintenance logs are criticized for having excessively fragmented information, ambiguous semantics and confused categorization, resulting in low classification metrics by traditional textual distributed representation with basic machine learning algorithms. A fault classification method based on bidirectional encoder representations from transformers convolutional neural network (BERT-CNN) with the focal loss function is proposed to establish the relationship model between the 'fault processing and conclusion' and the 'fault phenomena'. The pre-trained bidirectional encoder representations from transformers (BERT) model is finetuned to fully capture the bidirectional semantics and focus on the keywords to produce better word vectors of the 'fault phenomena'. In order to counteract the classification performance degradation brought by data category imbalance, word vectors are trained using a convolutional neural network (CNN) model with the focal loss function. According to the experimental results conducted by the dataset from an on-board signaling department, the proposed
{"title":"Fault classification method for on-board equipment of metro train control system based on BERT-CNN","authors":"Qian XU, Lei ZHANG, Dongxiu OU, Yunpeng HE","doi":"10.3724/sp.j.1249.2023.05529","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.05529","url":null,"abstract":"XU Qian 1, , ZHANG Lei 1, , OU Dongxiu 1, , and HE Yunpeng 3 1) Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai 201804, P. R. China 2) College of Transportation Engineering, Tongji University, Shanghai 201804, P. R. China 3) China Railway Siyuan Survey and Design Group Co. Ltd. , Wuhan 430063, Hubei Province, P. R. China Abstract: The on-board equipment of metro communication based train control (CBTC) is facing laborious maintenance problems, and its textual maintenance logs are criticized for having excessively fragmented information, ambiguous semantics and confused categorization, resulting in low classification metrics by traditional textual distributed representation with basic machine learning algorithms. A fault classification method based on bidirectional encoder representations from transformers convolutional neural network (BERT-CNN) with the focal loss function is proposed to establish the relationship model between the 'fault processing and conclusion' and the 'fault phenomena'. The pre-trained bidirectional encoder representations from transformers (BERT) model is finetuned to fully capture the bidirectional semantics and focus on the keywords to produce better word vectors of the 'fault phenomena'. In order to counteract the classification performance degradation brought by data category imbalance, word vectors are trained using a convolutional neural network (CNN) model with the focal loss function. According to the experimental results conducted by the dataset from an on-board signaling department, the proposed","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135348002","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：