Journal of Intelligent Construction最新文献_第3页

Intelligent Optimization for a Full-Sized PDC Bit with Composite Percussive Rock Breaking Drilling 复合冲击破岩钻进全尺寸PDC钻头的智能优化

Journal of Intelligent Construction Pub Date : 2023-10-01 DOI: 10.26599/jic.2023.9180021

Liping Li, Xuegang Liu, Yu Zhou, Chengshuai Qin, Zhihui Liu, Lige Wang, Chongqiang Zhu, Zizheng Sun

{"title":"Intelligent Optimization for a Full-Sized PDC Bit with Composite Percussive Rock Breaking Drilling","authors":"Liping Li, Xuegang Liu, Yu Zhou, Chengshuai Qin, Zhihui Liu, Lige Wang, Chongqiang Zhu, Zizheng Sun","doi":"10.26599/jic.2023.9180021","DOIUrl":"https://doi.org/10.26599/jic.2023.9180021","url":null,"abstract":"Intelligent drilling has obtained a lot of attention in mining engineering, oil and gas production, and tunnelling engineering. The optimization of drilling parameters is one of the most important technologies of intelligent drilling, while how to determine the key values to improve the drilling efficiency is still a difficulty. In this paper, we established a composite percussive rock breaking model of a full-size PDC (Polycrystalline Diamond Compact) bit based on the Continuous-Discontinuous Element Method (CDEM). The evolution of rock fragmentation under the action of composite impact is analyzed by the rock breaking volume and the torque applied on the drill bit during drilling. Based on actual construction, two key parameters affecting the process of composite impact rock breaking were selected, axial impact velocity and impact frequency, to further investigate their effect of composite impact rock breaking. The fitting curves obtained from the sensitivity analysis of rock breaking effect under different construction parameters were proposed to guide the intelligent drilling. Furthermore, the construction parameters of a diversion inclined shaft in the #2 construction branch hole of Tiantai Mountain Pumped Storage Power Station in Zhejiang Province were collected, which provides validation data for the proposed optimizing theory of the drilling parameters.","PeriodicalId":500406,"journal":{"name":"Journal of Intelligent Construction","volume":"09 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135607102","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

Exploring the evolutionary characteristics of social media data in metro emergencies: A case study of Zhengzhou metro flood 地铁突发事件社交媒体数据演化特征探析——以郑州地铁洪水为例

Journal of Intelligent Construction Pub Date : 2023-10-01 DOI: 10.26599/jic.2023.9180027

Yiqi Zhou, Fucai Hua, Junfeng Chen, Maohua Zhong

{"title":"Exploring the evolutionary characteristics of social media data in metro emergencies: A case study of Zhengzhou metro flood","authors":"Yiqi Zhou, Fucai Hua, Junfeng Chen, Maohua Zhong","doi":"10.26599/jic.2023.9180027","DOIUrl":"https://doi.org/10.26599/jic.2023.9180027","url":null,"abstract":"With the development of urban transportation, metros have become an important means of travel for residents. However, casualty and economic loss might occur in metro systems due to various emergencies. Social media has gradually become the main way to express people's needs, which provides a new analysis perspective for risk management in metros. This study takes the Zhengzhou metro flood as an example and collects relevant social media data. Then, the analysis method of social media data evolution characteristics in metro emergencies is proposed. Finally, the evolution characteristics of social media data are analyzed from three aspects: spatiotemporal distribution, emotional distribution, and hot topics classification. The results show that: the temporal distribution of social media data is affected by the emergency process and official media; the spatial distribution of social media data reflects the distribution of stations affected by emergency and temporary shelters; timely and appropriate official media reports are conducive to guiding public emotions toward positive; the key hot topics can be divided into disaster environment (DE), disaster impact (DI), disaster carriers (DC), emergency management (EM), positive comments (PC) and negative comments (NC). The proposed method can provide support for public opinion analysis and risk management in metro emergencies.","PeriodicalId":500406,"journal":{"name":"Journal of Intelligent Construction","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136129884","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

Modeling the cleaning cycle dynamics for air cooling condensers of thermal power plants: Optimization and global sensitivity analysis 火电厂空冷冷凝器清洗周期动力学建模:优化与全局敏感性分析

Journal of Intelligent Construction Pub Date : 2023-10-01 DOI: 10.26599/jic.2023.9180023

Bo Zhao, Ruo-Qian Wang, Shengxian Cao

{"title":"Modeling the cleaning cycle dynamics for air cooling condensers of thermal power plants: Optimization and global sensitivity analysis","authors":"Bo Zhao, Ruo-Qian Wang, Shengxian Cao","doi":"10.26599/jic.2023.9180023","DOIUrl":"https://doi.org/10.26599/jic.2023.9180023","url":null,"abstract":"The air-cooled condenser (ACC) technology drives the decoupling of China’s water consumption and energy production. However, the optimal cleaning frequency of the ACC system has yet to be thoroughly studied. We develop a theoretical model for the total cost of the dust-fouling energy loss and direct cleaning service costs. This extended model is the first to consider energy loss in the cleaning and production phases with field validation. The cleaning period is optimized to minimize the total cost. Numerical solutions are sought to demonstrate the relationship between the normalized optimized cleaning period and the dimensionless inputs. An empirical fitting equation is developed for convenient use in industrial applications. An innovative variance-based global sensitivity analysis (SA) is performed to estimate the sensitivity of the optimization result to the input parameters. We found that heat resistance (Rf), installed capacity, utilization rate, grid electricity price (Enet), and cleaning cost rate have substantial impacts. The present study has the potential to improve the cleaning service plan of the onsite maintenance, to provide a theoretical framework for the life cycle analysis of the power plant, and to inform the decisionmakers of the priority of data collection and sensor network deployment.","PeriodicalId":500406,"journal":{"name":"Journal of Intelligent Construction","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135761722","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 progress in monitoring hydraulic concrete damage based on acoustic emission 基于声发射的水工混凝土损伤监测研究进展

Journal of Intelligent Construction Pub Date : 2023-10-01 DOI: 10.26599/jic.2023.9180024

Huaizhi Su, Xiaoyang Xu, Shenglong Zuo, Shuai Zhang, Xiaoqun Yan

{"title":"Research progress in monitoring hydraulic concrete damage based on acoustic emission","authors":"Huaizhi Su, Xiaoyang Xu, Shenglong Zuo, Shuai Zhang, Xiaoqun Yan","doi":"10.26599/jic.2023.9180024","DOIUrl":"https://doi.org/10.26599/jic.2023.9180024","url":null,"abstract":"The acoustic emission (AE) technique is suitable for monitoring and evaluating hydraulic concrete damage due to its good response to material damage. While continuously advancing conventional AE analysis methods, various advanced digital processing technologies and intelligent algorithms have been applied to deeply explore the damage information and evaluate hydraulic concrete damage. An intelligent framework for evaluating hydraulic concrete damage based on AE has been established, according to the working principle of the AE monitoring system for hydraulic concrete damage. Based on the content involved in this framework, a review is conducted on the current research status of hot topics such as conventional analysis methods, signal processing methods, acoustic source localization (ASL) methods, AE source recognition methods, and deep learning technique applications. The complex characteristics of AE signals of hydraulic concrete damage and the research needs of how to overcome the adverse effects have been summarized, aiming to continuously improve the framework and achieve the construction of an intelligent platform for evaluating hydraulic concrete damage based on AE.","PeriodicalId":500406,"journal":{"name":"Journal of Intelligent Construction","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136093107","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

Key technologies and future development trends of intelligent earth–rock dam construction 智能土石坝建设关键技术及未来发展趋势

Journal of Intelligent Construction Pub Date : 2023-10-01 DOI: 10.26599/jic.2023.9180018

Yujie Wang, Yufei Zhao, Biao Liu, Naixin Wang, Chenfeng Li

{"title":"Key technologies and future development trends of intelligent earth&ndash;rock dam construction","authors":"Yujie Wang, Yufei Zhao, Biao Liu, Naixin Wang, Chenfeng Li","doi":"10.26599/jic.2023.9180018","DOIUrl":"https://doi.org/10.26599/jic.2023.9180018","url":null,"abstract":"The rapid advancement of information technologies, such as cloud computing, internet of things (IoT), and big data, has significantly enhanced the intelligence level in dam construction. Intelligent monitoring systems for dam filling have garnered considerable attention from water conservancy and hydropower engineering units, owing to their capability for refined management and quality control of layered and compartmentalized construction processes. The construction of earth–rock dams has undergone a transformation, shifting from manual management of dam compaction equipment, layer management, and quality control to a comprehensive intelligent approach. This new approach encompasses finegrained control of unit engineering, dam material identification, unmanned driving technology, real-time assessment and monitoring of compaction quality, and early warning forecasting. This article presents a systematic overview of key technologies employed in the intelligent construction process of earth–rock dams. These technologies include the fine decomposition of building information modeling (BIM) models on web platforms, rapid identification of dam material particle size, the application of autonomous driving technology for intelligent dam filling, and real-time monitoring and evaluation of dam compaction characteristics. Additionally, the paper discusses the latest research results in the field, building upon existing technology progress, and concludes by exploring the future development trends of intelligent dam construction. The construction of intelligent earth–rock dams serve as a crucial reference and valuable lessons for the development and construction of high earth–rock dam projects.","PeriodicalId":500406,"journal":{"name":"Journal of Intelligent Construction","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135761726","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

Sanmenxia multipurpose hydraulic project 三门峡多功能水利工程

Journal of Intelligent Construction Pub Date : 2023-09-01 DOI: 10.26599/jic.2023.9180022

Sanmenxia Yellow River Pearl (Group) Co., Ltd.

引用次数: 0

Distance perception characteristics of drivers in tunnel environment 隧道环境下驾驶员距离感知特征研究

Journal of Intelligent Construction Pub Date : 2023-09-01 DOI: 10.26599/jic.2023.9180020

Yunteng Chen, Songtao Tao, Zhenhua Sun, Jianjun Tao

引用次数: 0