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Online since: May 2012
Authors: Zhi Lin Yang, Qun Song
An Engineering Example In Daliuta face in the Shen-dong mining area, average dip angle of seam is about, average thickness about, and bury depth.
The examples from engineering show that the research result is helpful to improve the accuracy of roof disaster predict and forecast.
Chinese Journal of Rock Mechanics and Engineering 2002; 21(8): 1174-1177 [in Chinese]
West -Chine exploration engineering 2006; 18(2); 95-97 [in Chinese]
Chinese Journal of Geotechnical Engineering 2007; 29(12): 1763-1766 [in Chinese]
Online since: April 2014
Authors: Hong Chang
This document introduces and demonstrates the application of the risk matrix method on the engineering project risk management.
The engineering project life cycle, risk categories, each risk management and the influence of the risk are considered in the project risk management, risk matrix suitable for the engineering project is established.
The Risk Matrix of Civil Engineering Project Risk Management Establishment of Multidimensional Risk Management Matrix.
The application of Multidimensional space risk management in civil engineering projects.
Acknowledgements This work was financially supported by Jilin Institute of Civil Engineering and Architecture Dr.
Online since: May 2014
Authors: Patrick Böhler, Frank Härtel, Peter Middendorf
In several fields of engineering the automation of the CFRP production chain is a major issue.
In fiber materials different deformation mechanisms exist.
From these very different materials, three material classes are mostly used by applicants.
For more complex deformations mode, like they exist e.g. in biaxial materials maybe a set of initial test has to be used, to identify the role of the two key modes within such materials.
Middendorf, Identification of forming limits for unidirectional carbon textiles in reality and mesoscopic simulation, Key Engineering Materials Vols. 554-557 (2013) pp 423-432
Online since: January 2012
Authors: Peng Zhang, Zhao Lin Li, Xiao Wei Xue
Study on Integration Architecture of Product Design and Manufacturing Based on Knowledge Engineering Peng Zhang1,a, Xiaowei Xue 2,b, Zhaolin Li3,c 1Construction Institute, South West Petroleum University, Chengdu Sichuan 610500, China; 2School of Mechanical and Electronic Engineering, Southwest Petroleum University, Chengdu Sichuan 610500, China 3Low Permeability Reservoirs E&D National Engineering Laboratory, Xi’an Shanxi 710021, China; azp_swpi@sina.com, bxxw0322@163.com, cxiaozhao_08@163.com Keywords: Knowledge-Based Engineering, Product Lifecycle Management, J2EE Abstract.
Key Technologies in Knowledge Base.
China Mechanical Engineering, Vol. 15 (2005), p. 803-805 [7] Ammar-Khodja S, Perry N, Bernard A: Processing Knowledge to Support Knowledge Based Engineering Systems Specification.
Concurrent Engineering.
Vol.28(2006). p. 77-79 [10] Vander Laan AH: Knowledge Based Engineering Support for aircraft component design.
Online since: September 2013
Authors: Nan Zhao, Cong Hui Zhang, Hong Yu Shao
Key Factor Extraction of Supply Chain Performance Based on Heterogeneous Selective Ensemble PCA Conghui Zhang 1, a, Nan Zhao 2, 3, b, Hongyu Shao3, c 1 Department of Management and Economics, Tianjin Electronic Information Vocational Technology College, Tianjin, China, 2College of Mechanical Engineering, Tianjin University of Technology and Education, Tianjin, China 3Tianjin Key Laboratory of Equipment Design and Manufacturing Technology, Tianjin University, Tianjin, China a13512264859@163.com, bnanzhao1982@163.com, ch4clo4@163.com Keywords: Supply chain performance, Key factors, Selective ensemble, PCA, Fuzzy integral Abstract.
The structure diagram of the algorithm is shown in Fig.1 Fig.1 Heterogeneous PCA Selective Ensemble Learning Algorithm Extracting Key Factor of Supply Chain Performance To approve the reliability of the algorithm, this thesis analyzes the time performance data of supply chain for C Company and extracts its key influencing factors.
The indicators of time performance include the cycle of raw material purchase(A), average manufacturing cycle(B), average distribution time(C), financial decision time (D), time of purchase plan formation (E)and time of production schedule formation (F).
And the final computed result is shown in Fig.2 Fig.2 Key Factors of Supply Chain Time Performance According to the figure, it is clearly seen that the key factors of supply chain time performance at C Company in 2007 were average manufacturing cycle and main raw material purchase cycle, whose key degree is higher than others, among which the influence of average manufacturing cycle is much higher than other factors, so it is the key object which needs to be monitored in the supply chain.
In order to prove the effectiveness of the algorithm, this thesis adopts K-means cluster to analyze the six indicators of time perforce A~F as well as the original data set of key factors obtained by selective ensemble learning, i.e., the original data set of main raw material purchase cycle (A), average manufacturing cycle (B)and time of production schedule formation (F).
Online since: July 2014
Authors: Zong Rong Xu, Jing Li
The analysis of engineering changes are shown in table 1.
(2) Change of engineering amount.
Effective measurements to control engineering cost Fig.1 is description of invest rules influenced by engineering items on different stages overseas.
Obviously, the key to control engineering cost is in design phase.
Discussion of the Project Cost Control based on the quantities bill valuation[J].China Water Transportation (2011) [4] Xiaoling Liu, The Analysis To Influence of Project Change on Cost Control[J].Economic Review (2011) [5] Dongxia Li,Xueming Tao,Guangpeng Xiao.The Study of Project Change Management based on the quantities bill valuation[J].Sichuan Building Materials (2011) [6] Haiyuan Lu, Jin Sun.Evalution methods of engineering change based on the quantities bill valuation [J].Journal of Engineering Management (2011) [7] Hong Rao.
Online since: July 2014
Authors: Sabrine el Hannoudi, Zakaria el Alami, Abdelouafi el Ghoulbzouri
Reliability Analysis In Performance-Based Earthquake Engineering EL GHOULBZOURI Abdelouafi1, a, EL ALAMI Zakaria1, b, EL HANNOUDI Sabrine1, c 1 National School of Applied Sciences of Al Hoceima, Civil engineering Dept., BP 03, Ajdir Al Hoceima, Morocco ae.abdelouafi@hotmail.fr, b elalami.gc@gmail.com, c sabrina.elhnd@gmail.com Key words: Performance-based engineering, RPS2000, Finite element, Nonlinear analysis, Seismic design, Finite reliability analysis.
Such methods address the key issue in performance-based engineering.
Such measures are valuable in practical engineering design.
Computer methods in applied mechanics and engineering, Vol. 168 (1999), p. 173-183
JOURNAL of Engineering Mechanics, ASCE.
Online since: December 2014
Authors: Raquel Carvalho, Raul Fangueiro, Jorge Neves
The use of natural fibers turns engineering work more sustainable, since they are renewable, biodegradable, energy efficient and non-toxic raw materials.
These materials are widely used in numerous engineering projects such as the construction of embankments, roads, airports, reservoirs, canals, embankments and coastal protection works [1].
Synthetic fibers are currently the most used in geotextiles for civil engineering where the physical and chemical properties and durability are key requirements of the applications.
Materials and testing methods Materials.
Anand, “Textiles in civil engineering.
Online since: September 2014
Authors: Long Zhou, Yang Zhao, Hua Yue Yin
a4444zhoulong@163.com, bzhao0512090131@163.com, cyanhuayiyue@126.com Key words: Ecological industrial engineering, construction waste, recycling.
Eco-industrial Engineering Ideas In 1989, R.
Construction waste is different from the original building materials.
In the planning stage of the construction, try to consider using green building materials and easily recycled materials.
Old bricks and broken tiles are mixed together as materials of ground bricks, materials of unburned masonry cement, cement admixture, or used in the roadbed engineering with lime.
Online since: September 2014
Authors: Hui Tao
Application of Prestressed Anchor Composite Soil Nail Wall in Deep Foundation Pit Engineering at Lanzhou Region Tao Hui Gansu Construction Vocational Technical College, Lanzhou Gansu China 730050 8903814@qq.com Keywords: prestressed anchor; soil nail; deep foundation pit; application; monitoring and analysis Abstract:The paper introduces the application of prestressed anchors and soil nails support system in complex soil layer deep foundation pit engineering at Lanzhou region based on the deep foundation pit engineering in Gansu Provincial Hospital of TCM as the background and discusses its key technology.
The experience of engineering is significance for similar engineerings at Lanzhou region. 1.
On the eastern of ground that is spacious can be used as piling up and processing materials.
[3] GB50330—2002 Technical code for building slope engineering[S].
Chinese Journal of Geotechnical Engineering, (2005), 26(8): p.939–943
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