Smart Construction Research最新文献_第3页

The Development Trend of Modern Technology of Electronic Engineering 现代电子工程技术的发展趋势

Smart Construction Research Pub Date : 2018-06-25 DOI: 10.18063/SCR.V0.623

Liu Tong, Zhijun Cao, Cheng Liang, Liu Yanfeng, Haipeng Zhang

引用次数: 0

Analysis of Application of Pile Foundation Technology in Construction Engineering 桩基技术在建筑工程中的应用分析

Smart Construction Research Pub Date : 2018-06-25 DOI: 10.18063/SCR.V2I4.620

Xiaoyun Si, X. Zhao, Lihua Wang, Baosen Du, Liping Wu

引用次数: 1

Research on safety management of engineering construction 工程建设安全管理研究

Smart Construction Research Pub Date : 2018-06-21 DOI: 10.18063/SCR.V2I3.576

Le-Hua Yang, Haifeng Zhang, Suran Zhao, Yulin Hu, Zhiyin He

引用次数: 0

Construction Progress Control And Management Measures Analysis 施工进度控制与管理措施分析

Smart Construction Research Pub Date : 2018-06-21 DOI: 10.18063/SCR.V2I1.392

Jie Fang, Yan Li, Qiyun Liao, Zenghui Ren, B. Xie

引用次数: 2

Analysis of the innovation of construction technology in Civil Engineering 土木工程施工技术创新分析

Smart Construction Research Pub Date : 2018-06-21 DOI: 10.18063/SCR.V2I4.591

P. Zhao, X. Zhuang, Wenzhong Liu, B. Liang, Xuan Yang

引用次数: 0

Difficulty analysis and countermeasure discussion of building HVAC construction 建筑暖通空调施工难点分析及对策探讨

Smart Construction Research Pub Date : 2018-06-21 DOI: 10.18063/SCR.V0I0.584

Sun Yafei, Chenxi Zhang, Wang Xinhe, Shujuan Yuan, G. Zhu

引用次数: 0

Ultimate Load Capacity of Optimal Designed Angelina™ Beams 最佳设计的Angelina™梁的极限承载能力

Smart Construction Research Pub Date : 2018-06-21 DOI: 10.18063/SCR.V2I3.571

F. Erdal, Osman Tunca, S. Taş, S. Çarbaş

{"title":"Ultimate Load Capacity of Optimal Designed Angelina™ Beams","authors":"F. Erdal, Osman Tunca, S. Taş, S. Çarbaş","doi":"10.18063/SCR.V2I3.571","DOIUrl":"https://doi.org/10.18063/SCR.V2I3.571","url":null,"abstract":"This study briefly summarizes the results of experimental tests performed on optimal designed Angelina™ steel beams. The objective of the investigation was to study the effect of hole geometry on the mode of failure and ultimate strength of such beams under loading conditions. For this purpose, six optimal designed Angelina™ beams are tested in a self-reacting frame to determine the ultimate load carrying capacities of these new generation web-expanded beams. The specimens were all fabricated from IPN beams and were expanded to almost 1.5 times the original depth. All specimens were fabricated from ASTM A-36 steel. The design methods for the specimens will be the harmony search algorithm and particle swarm method which are stochastic search techniques. The minimum weight is taken as the design objective while the design constraints are implemented from the SCI (Steel Construction Institute). Design constraints include the displacement limitations, overall beam flexural capacity, beam shear capacity, overall beam buckling strength, web post flexure and buckling, vierendeel bending of upper and lower tees and local buckling of compression flange. The design methods adopted in this publication are consistent with BS5950.","PeriodicalId":263120,"journal":{"name":"Smart Construction Research","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115360783","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

Rock Fragmentation Prediction through a New Hybrid Model Based on Imperial Competitive Algorithm and Neural Network 基于帝国竞争算法和神经网络的岩石破碎预测混合模型

Smart Construction Research Pub Date : 2018-06-21 DOI: 10.18063/scr.v0.397

D. Jahed Armaghani

{"title":"Rock Fragmentation Prediction through a New Hybrid Model Based on Imperial Competitive Algorithm and Neural Network","authors":"D. Jahed Armaghani","doi":"10.18063/scr.v0.397","DOIUrl":"https://doi.org/10.18063/scr.v0.397","url":null,"abstract":"Reliable estimation of rock fragmentation is an important issue in the blasting operations in order to predict quality of the production. Since rock fragmentation is affected by various parameters such as blast pattern and rock mass characteristics, it is very difficult to have an appreciate prediction of it. This paper describes a new hybrid imperialism competitive algorithm (ICA)-artificial neural network (ANN) in order to solve shortcomings of ANN itself for prediction of rock fragmentation. In fact, the influence of ICA on ANN results was studied in this research. By investigating the related studies, the most important parameters of ICA were identified and a series of parametric studies for their determination were conducted. All models were built using 8 inputs and one output which is rock fragmentation. To have a fair comparison and show the capability of the new hybrid model, a pre-developed ANN model was also considered and constructed. Evaluation of the obtained results demonstrated that a higher ability of rock fragmentation prediction is received developing a hybrid ICA-ANN model. Coefficient of determination (R2) values of (0.949 and 0.813) and (0.941 and 0.819) were obtained for training and testing of ICA-ANN and ANN models, respectively which indicated that the proposed ICA-ANN model can be implemented better in improving performance capacity of ANN model in estimating rock fragmentation.","PeriodicalId":263120,"journal":{"name":"Smart Construction Research","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134022405","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: 3

Existing problems and measures in safety management of chemical engineering 化工安全管理存在的问题及对策

Smart Construction Research Pub Date : 2018-06-21 DOI: 10.18063/SCR.V2I3.589

Yuepeng Liu, Zhigang Zhang, Quan Yang, Qiang Zhang, Zhen’an Liu

{"title":"Existing problems and measures in safety management of chemical engineering","authors":"Yuepeng Liu, Zhigang Zhang, Quan Yang, Qiang Zhang, Zhen’an Liu","doi":"10.18063/SCR.V2I3.589","DOIUrl":"https://doi.org/10.18063/SCR.V2I3.589","url":null,"abstract":"For a country, the industry is a very important system, the embodiment of the country's comprehensive national strength, the country's economic development level and the development of science and technology level has direct impact on industry. The development of chemical industry also has great impetus to the national economic development. The technical requirements for chemical engineering are particularly high. Because of the danger of the chemical itself, safety becomes the first thing to notice in the construction process. In order to prevent the occurrence of danger in the actual construction process, the safety of chemical engineering construction is made, and the effective safety management is the most critical step. A reliable safety management is the guarantee for the smooth construction of the construction, so the early safety management becomes the key to the development of the chemical industry. Chemical engineering is an extremely complex and changeable system, and the kinds of problems involved are very many, which requires the construction personnel to pay more attention to ensure the safety. In order to implement the safety management measures in the process of chemical engineering construction, it is necessary for the management personnel to strictly control the whole construction process. In case of any problem, we should deal with it in a timely manner and pay more attention to the details. We should pay attention to fire prevention, pollution prevention and anti-explosion prevention. Technical personnel should pay more attention to technical problems and eliminate safety hazards. The construction company must also strengthen the personal quality of the project management personnel and other issues. It is necessary to examine personal responsibility and safety awareness and avoid unnecessary losses caused by various construction safety issues to the company[1].","PeriodicalId":263120,"journal":{"name":"Smart Construction Research","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133751510","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

Analysis of green environmental protection concept in environmental engineering design 浅析环境工程设计中的绿色环保理念

Smart Construction Research Pub Date : 2018-06-21 DOI: 10.18063/SCR.V2I1.425

Ding Yong, Xian Zhang, Liu Qiaohong, Ya Wang, Shao Yangci

引用次数: 0