2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR)最新文献_第7页

Evaluation on Operation Performance Improvement of RCC Dam using Cloud Model 基于云模型的碾压混凝土大坝运行性能改进评价

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656475

Erfeng Zhao, Xin Li, Bo Li

引用次数: 1

Analysis of Displacement Field of Shallow Buried Biased Tunnel with Small Clear Distance 小净距浅埋偏压隧道位移场分析

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656272

Jianwu Gong, Chao Zhang

引用次数: 0

Analysis of The Spatial and Temporal Distribution Patterns of Rainfall in Shenzhen 深圳市降水时空分布格局分析

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656359

Hang Yao, Donghui Wan, Yunqiu Shi, Xinqiao Zheng, Hualong Ding, Hao Chen

{"title":"Analysis of The Spatial and Temporal Distribution Patterns of Rainfall in Shenzhen","authors":"Hang Yao, Donghui Wan, Yunqiu Shi, Xinqiao Zheng, Hualong Ding, Hao Chen","doi":"10.1109/ICHCESWIDR54323.2021.9656359","DOIUrl":"https://doi.org/10.1109/ICHCESWIDR54323.2021.9656359","url":null,"abstract":"The differences in the spatial and temporal distribution of urban rainfall are related to the deployment of urban flood control and disaster mitigation. In this paper, Shenzhen city is taken as the study area. We use Mann-Kendall trend test method, wavelet analysis method and R/S method to explore the trend, cycle characteristics and persistence of annual rainfall, number of rainfall days and daily maximum rainfall in different areas of Shenzhen. The results show that the overall trend of annual rainfall in Shenzhen is not significant, and the spatial distribution of annual rainfall in the city will gradually form a decreasing pattern from east to west. The number of rainfall days in Shenzhen do not changed significantly with a variation of $2.7sim 6.1$ d/10a, and the future the number of rainfall days may form a spatial distribution of more in the southeast and less in the northwest. The daily maximum rainfall variation in Shenzhen is $5.4sim 12.2$ mm/10a. The future spatial distribution of daily maximum rainfall will maintain the situation of more in the southeast and less in the northwest, but the difference between the daily maximum rainfall in Dapeng and other areas will continue to become larger.","PeriodicalId":425834,"journal":{"name":"2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124271810","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

Study on Interference Phenomenon of Coarse Aggregate in Dense Graded Asphalt Mixture 密级配沥青混合料中粗集料的干涉现象研究

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656236

Xiaoliang Chen, Jianfei Zhang, Xin Wang, Hui Guo, Yongqiang Zhu, Yidong Xu

{"title":"Study on Interference Phenomenon of Coarse Aggregate in Dense Graded Asphalt Mixture","authors":"Xiaoliang Chen, Jianfei Zhang, Xin Wang, Hui Guo, Yongqiang Zhu, Yidong Xu","doi":"10.1109/ICHCESWIDR54323.2021.9656236","DOIUrl":"https://doi.org/10.1109/ICHCESWIDR54323.2021.9656236","url":null,"abstract":"In order to quantitatively study the interference phenomenon of asphalt mixture coarse aggregate in the compaction process, the digital image technology was used to detect the mixture slice. The interference coefficient of coarse aggregate of asphalt mixture was proposed as the quantitative index of interference phenomenon. The results show that from initial compaction to final compaction, The interference coefficient of 2.36mm $sim$ 4.75mm and 4.75mm $sim$ 9.5mm coarse aggregate decreases significantly, and the interference degree of each grade of coarse aggregate increases significantly. The interference degree of coarse aggregate at the bottom of the specimen is greater than that at the top of the specimen, but the difference of interference degree at each vertical position decreases with the progress of compaction. The change of coarse aggregate interference degree is mainly concentrated in the early and middle stages of compaction, and the increase of interference in AC-13C and SMA-13 decreases by 68.8% and 82.2% respectively in the middle and late stage.","PeriodicalId":425834,"journal":{"name":"2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125326298","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

Study on the force transfer characteristics of the transverse joints of high arch dams considering the spherical keyway 考虑球形键槽的高拱坝横缝传力特性研究

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656322

Liu He

{"title":"Study on the force transfer characteristics of the transverse joints of high arch dams considering the spherical keyway","authors":"Liu He","doi":"10.1109/ICHCESWIDR54323.2021.9656322","DOIUrl":"https://doi.org/10.1109/ICHCESWIDR54323.2021.9656322","url":null,"abstract":"In order to reduce temperature stress, transverse joints are often used to divide large concrete structures into several pieces. In order to improve the structural integrity, keyways are often provided on the joint surface to compensate for the enhancement of the joint surface shear resistance and improve the structural integrity. In the design of high arch dams, the application of spherical keyways on the transverse joints are more and more widespread. Due to the huge workload of simulating the spherical keyway densely distributed on the joint surface, there are few related results that accurately simulate the transverse joint keyway and truly reflect the force transmission characteristics of the keyway of high arch dams during earthquakes. In order to study the force transmission characteristics of the spherical keyway in the high arch dam during the seismic process, this paper proposes a parametric simulation modeling method for the high arch dam considering the spherical keyway of the transverse joint, and establishes the foundation-water-dam dynamics considering the spherical keyway. The calculation model uses high-performance parallel computing technology for calculation and analysis. The relationship between the high stress area of the keyway surface and the opening of the transverse joint, and the force transmission characteristics of the location of the maximum shear stress in the high arch dam during a strong earthquake are studied in detail.","PeriodicalId":425834,"journal":{"name":"2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131946535","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

Research on the Best Route Strategy Model of Rescue Patrol Based on Floyd Algorithm 基于Floyd算法的救援巡逻最佳路径策略模型研究

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656403

Shi Wang, Bingxing Liu, Wenpeng Liu, Can Hu, Jing Yang, Yueli Tang

引用次数: 1

Comparative Study of Three Machine Visual Recognition Algorithms in Identification of Un-vibrated Concrete 三种机器视觉识别算法在未振动混凝土识别中的比较研究

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656366

Rui Lin, Feng Yi, Shenghua Lu, Sheng Qiang

{"title":"Comparative Study of Three Machine Visual Recognition Algorithms in Identification of Un-vibrated Concrete","authors":"Rui Lin, Feng Yi, Shenghua Lu, Sheng Qiang","doi":"10.1109/ICHCESWIDR54323.2021.9656366","DOIUrl":"https://doi.org/10.1109/ICHCESWIDR54323.2021.9656366","url":null,"abstract":"Mechanical automatic vibration of concrete is a development direction of civil engineering construction, and automatic vibration accuracy control algorithm is one of the difficulties. This article attempts to use machine vision solutions to solve this problem. Program for three common feature extraction algorithms (Hog algorithm, LBP algorithm, Haar algorithm) is written through Python language. Then the “Support Vector Machine” algorithm is applied to classify the feature data extracted by each algorithm. By this way, the accuracy and efficiency of the three algorithms under different parameters are compared. The test comparison results show that the Hog algorithm is more efficient but the accuracy is average, the LBP algorithm has the highest accuracy but the efficiency is general when multiple training is required, and the Haar algorithm has the relatively lowest accuracy and efficiency. The results can provide a basis for the selection of different algorithms and parameters for various scenarios where the visual inspection and recognition system of un-vibrated concrete may be applied.","PeriodicalId":425834,"journal":{"name":"2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133860664","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

Continuously monitoring the early hydration process of cement paste at elevated temperatures by a developed non-contact resistivity measurement apparatus 利用研制的非接触电阻率测定仪对高温下水泥浆体的早期水化过程进行连续监测

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656229

Yueyi Gao, Wenhua Zhang

{"title":"Continuously monitoring the early hydration process of cement paste at elevated temperatures by a developed non-contact resistivity measurement apparatus","authors":"Yueyi Gao, Wenhua Zhang","doi":"10.1109/ICHCESWIDR54323.2021.9656229","DOIUrl":"https://doi.org/10.1109/ICHCESWIDR54323.2021.9656229","url":null,"abstract":"The early hydration process of cementitious material at elevated temperatures was studied by a specially developed non-contact resistivity measurement apparatus (NCRMA). By using NCRMA, the relationship between elevated curing temperature (20, 40, 60, and 90°C) and the early hydration process of cement paste with low water-binder (w/b) ratio was found. Results indicate that the early hydration process of low w/b cement pastes cured in 60 and 90°C consists five stages: the dissolving stage, competition stage, acceleration stage, the transformation of AFt to AFm stage, and steady hardening stage. However, the transformation of AFt to AFm stage was not found in the condition of 20 and 40°C. Besides, the increase in curing temperature leads to a short duration of the dissolution stage and a decrease of ultimate electrical resistivity value. In addition, in the range of 20 to 40°C, with the increasing of curing temperature, the duration of the competition stage decreases. However, this situation is reversed when the curing temperature is between 40 and 90°C. It is suggested that the hydration process is retarded at a higher temperature.","PeriodicalId":425834,"journal":{"name":"2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132864154","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

Abnormality Behavior Recognition Method for Ship in Bridge Waters Considering Small-Sample Problem 考虑小样本问题的桥梁水域船舶异常行为识别方法

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656332

Han Wang, Yi Liu

{"title":"Abnormality Behavior Recognition Method for Ship in Bridge Waters Considering Small-Sample Problem","authors":"Han Wang, Yi Liu","doi":"10.1109/ICHCESWIDR54323.2021.9656332","DOIUrl":"https://doi.org/10.1109/ICHCESWIDR54323.2021.9656332","url":null,"abstract":"With the development of transportation, more and more bridges are built, and the safety of bridges is becoming more and more important. In the waters of the bridge area, more and more ships pass through, and the navigation environment is more complex than that of the ordinary channel. For the staff of the traffic management department and bridge maintenance, it is necessary to always pay attention to the behavior of passing ships and remind the ships with abnormal behavior to prevent accidents that damage the bridge. Firstly, by analyzing the collision risk of ship bridge and the abnormal behavior of ship itself, this paper combines the two to obtain the judgment standard of ship abnormal behavior in the waters of bridge area; then, considering the small sample problem of ship abnormal behavior in the actual data, a large number of ship trajectory data are generated by the method of ship motion equation and random data generation. Based on the generated ship trajectory data, the identification model of ship abnormal behavior in the bridge area is established by using BP neural network classification method to give early warning of ship abnormal behavior, Provide technical means for the safe passage of ships in the waters of the bridge area to reduce or avoid the losses caused to the bridge.","PeriodicalId":425834,"journal":{"name":"2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133207087","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: 1

Machine learning-based algorithm for predicting the groundwater level in Minqin Oasis region of China 民勤绿洲地下水位预测的机器学习算法

2021 7th International Conference on Hydraulic and Civil Engineering & Smart Water Conservancy and Intelligent Disaster Reduction Forum (ICHCE & SWIDR) Pub Date : 2021-11-06 DOI: 10.1109/ICHCESWIDR54323.2021.9656310

Shun-Po Yu, Liuchao Qiu, Xiaorong Xu, Yong-Sen Yang

引用次数: 2