Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering最新文献

Commuting rideshare route planning method under public health events 公共卫生事件下的通勤拼车路线规划方法

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05546

Wusheng LIU, Wang LI, Qing ZHOU, Qing ZENG, Tianyi LIU

引用次数: 0

Self-healing properties of lightweight aggregate concrete with mineral additions and water-absorbing resins 掺矿物和吸水树脂轻骨料混凝土的自愈性能

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05564

Xianfeng WANG, Shaocong CHEN, Jian LIU, Weilun WANG

{"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}

引用次数: 0

Mechanical response of grading loading and unloading of backfill sand under confinement constraint 约束条件下充填砂级配加卸载的力学响应

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05571

Dongdong WANG, Shunqun LI, Lixiang WANG

引用次数: 0

Deep-learning-based prediction method of steam channeling time in heavy oil reservoirs 基于深度学习的稠油储层蒸汽窜流时间预测方法

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05622

Chuanzhi CUI, Shuiqingshan LU, Zhongwei WU, Pingyuan GAI, Tingfeng LIU

引用次数: 0

Optimization of high-speed train timetable based on regenerative braking energy utilization 基于再生制动能量利用的高速列车时刻表优化

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05539

Xin GE, Yuzhao ZHANG, Zhipeng HUANG

{"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}

引用次数: 0

Transient control strategy of doubly-fed fan based on zero dynamic and super twist control 基于零动态和超扭控制的双馈风机暂态控制策略

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05599

Xiaoying ZHANG, Zijiang SHU, Hongqiang WU

引用次数: 0

The mechanical properties of recycled solidified soil from underground construction spoils 地下施工渣土回收固化土力学特性研究

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05578

Tao YANG, Meimei YAN, Shuailei LIU, Xingru LI, Mengyao WANG

{"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}

引用次数: 0

Spatial characteristics of geothermal anomalies in the Guangdong-Hong Kong-Macao Greater Bay Area based on GIS 基于GIS的粤港澳大湾区地热异常空间特征

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05588

Jiangwan XU, Shaopeng HUANG, Zheng’an WEI, Yongyi LI

引用次数: 0

The unpaired operation of urban rail transit 城市轨道交通的不配对运行

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05521

Peining TIAN, Baohua MAO, Qi ZHOU, Junsheng HUANG, Haoxiang ZHANG, Qiqi GAO

引用次数: 0

Fault classification method for on-board equipment of metro train control system based on BERT-CNN 基于BERT-CNN的地铁列控系统车载设备故障分类方法

Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering Pub Date : 2023-09-01 DOI: 10.3724/sp.j.1249.2023.05529

Qian XU, Lei ZHANG, Dongxiu OU, Yunpeng HE

{"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}

引用次数: 0