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Online since: July 2014
Authors: Bing Wang, Chang Ning Deng, Fei Liu
The Influence of Bohai Strait Tunnel Project on Freight Transportation System in Bohai Economic Rim
Bing Wang 1,2, a*, Changning Deng 2, b and Fei Liu 3, c
1College of Civil Engineering and Architecture, Zhejiang University, Zhejiang, Hangzhou, 310058, China
2 The Communications Research Institute of Liaoning Province, Liaoning, Shenyang, 110015, China
3 Shenyang Highway Plan &Design Institute, Liaoning, Shenyang, 110168, China
abingwer@126.com, bdcn_mj@163.com, cliufii@qq.com
Keywords: Bohai Strait Tunnel, freight transportation, modified Negative Exponent Network Flow Assignment model, market share.
Liu, in: Investment Decision for Bohai Strait Cross-sea Channel Investment Based on Fuzzy Risk Analysis, 3rd International Conference on Information Management, Innovation Management and Industrial Engineering (2010)
Liu, in: Investment Decision for Bohai Strait Cross-sea Channel Investment Based on Fuzzy Risk Analysis, 3rd International Conference on Information Management, Innovation Management and Industrial Engineering (2010)
Online since: December 2012
Authors: Li Ru Liu, Xiao Xia Wang, Jun Wu, Zhi Sheng Li, Tian Cheng
Indoor Air Quality Audit and Grey Incidence Analysis of an Air-conditioned Institutional Library in the Subtropics
Li-ru Liu*a, Jun Wub, Xiao-xia Wangc, Zhi-sheng Lid, Tian Chenge
School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, 510006, China
acyoohaku@yahoo.com.cn ,bwujungz@126.com, cwxxhit@sina.com, dchinaheat@163.com,
e382491141@qq.com
Keywords: Air-conditioned institutional library; Indoor air quality; Subtropical climate; Grey incidence analysis
Abstract.
ASHRAE, Atlanta: American Society of Heating, Refrigerating and Air Conditioning Engineers, Inc
ASHRAE, Atlanta: American Society of Heating, Refrigerating and Air Conditioning Engineers, Inc
Online since: April 2015
Authors: Togay Ozbakkloglu, Yunita Idris
FRP-Concrete-Steel Double Skin Tubular Cantilever Beams: Behavior under Cyclic Loading
Yunita Idris1, a and Togay Ozbakkaloglu1, b,*
1School of Civil, Environmental and Mining Engineering, The University of Adelaide, Adelaide, South Australia, Australia 5005
ayidris@civeng.adelaide.edu.au, btogay.ozbakkaloglu@adelaide.edu.au
Keywords: Fiber reinforced polymer (FRP), High-strength concrete (HSC), Confinement, Cantilever beams, Displacement
Abstract.
Ozbakkaloglu, Behavior of square and rectangular ultra high-strength concrete-filled FRP tubes under axial compression, Composites Part B: Engineering, 54 (2013) 97-111
Ozbakkaloglu, Behavior of square and rectangular ultra high-strength concrete-filled FRP tubes under axial compression, Composites Part B: Engineering, 54 (2013) 97-111
Online since: March 2009
Authors: Shao Peng Wu, Li Xing Ma, Jun Feng Huang, Zhi Fei Liu
Material Selection and Design for Moisture Damage of HMA Pavement
Junfeng Huang1, a, Shaopeng Wu
1, b, Lixing Ma1, c, Zhifei Liu
1, d
1
Key Laboratory of Silicate Materials Science and Engineering of Ministry of Education,
Wuhan University of Technology, Wuhan, 430070, China
a
hjf0808@163.com, bwusp@whut.edu.cn, cmlx@whut.edu.cn, dliuzhifei@whut.edu.cn
Keywords: hydrated lime; moisture damage; dynamic modulus; indirect tensile fatigue.
Journal of Material in Civil Engineering, ASCE, Vol. 17, No.6(2005), pp.711-718
Journal of Material in Civil Engineering, ASCE, Vol. 17, No.6(2005), pp.711-718
Online since: January 2005
Authors: Ji Min Yi, Hyo Taek Chon, Jin Soo Lee
Journal Citation (to be inserted by the publisher)
Copyright by Trans Tech Publications
Arsenic contamination and its speciation in the water system around
the abandoned Dongil Au-Ag mine in Korea
Ji-Min Yi, Jin-Soo Lee* and Hyo-Taek Chon
School of Civil, Urban, and Geosystem Engineering, Seoul National University, Seoul, Korea,
*Corresponding author : jsoolee@snu.ac.kr
Keywords: Arsenic, Speciation, Water system, Sequential extraction.
Geosystem Engineering, Vol.37 (2000) p.53-66
Geosystem Engineering, Vol.37 (2000) p.53-66
Online since: June 2015
Authors: Yan Yu, Jian Hua He, Xiao Yan Ma, Qiu Ping Huang
Prediction of Urban Waste Disposal Based on ARIMA Model
Yan YU1,a, Qiuping HUANG1,b, Xiaoyan MA1,c, Jianhua HE2,d
1School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China
2School of Resources and Environmental Science, Wuhan University, Wuhan 430079,
China
ayyhrose@126.com, b838177181@qq.com, c1392587076@qq.com, dhjianh@126.com
Keywords: Time series analysis; ARIMA model; Urban waste disposal; Prediction
Abstract.
[8] Y.Zhou, Time series model of China civil aeronautic cargo capacity, Journal of Chengdu University of Technology(Science&Technology Edition), Sichuan,P.R.China,32(2005)433-437
[14] L.L.Wu, J.W.Lu, L.Liao, J.S.Jiang, Prediction of Domestic Waste Output Based on ARIMA Model, Environmental Sanitation Engineering, 21(2013):2-3 [15] J.Hassan, ARIMA and regression models for prediction of daily and monthly clearness index, Renewable Energy, 68(2014): 421-427 [16] L.Wu, L.
[8] Y.Zhou, Time series model of China civil aeronautic cargo capacity, Journal of Chengdu University of Technology(Science&Technology Edition), Sichuan,P.R.China,32(2005)433-437
[14] L.L.Wu, J.W.Lu, L.Liao, J.S.Jiang, Prediction of Domestic Waste Output Based on ARIMA Model, Environmental Sanitation Engineering, 21(2013):2-3 [15] J.Hassan, ARIMA and regression models for prediction of daily and monthly clearness index, Renewable Energy, 68(2014): 421-427 [16] L.Wu, L.
Online since: June 2020
Authors: Nurul Syuhadah Khusaini, Norheliena Aziz, Zulkifli Mohamed, Muhammad Abdul Hadi Sham, Nur Anasyuha Elias, Nur Amiratun Najwa Mohd Kamarolzaman, Sahril Khusairi
Development of Examination Hall Assistive Robot (EHAR)
Muhammad Abdul Hadi Sham1,2, Nur Anasyuha Elias1,2,
Nur ‘Amiratun Najwa Mohd Kamarolzaman1,2, Norheliena Aziz1,2,
Nurul Syuhadah Khusaini1,2, Sahril Khusairi1,2 and Zulkifli Mohamed1,2,a,*
1Fakulti Kejuruteraan Mekanikal, Universiti Teknologi MARA, 40450 Shah Alam,
Selangor, Malaysia.
2Sports Engineering & Artificial Intelligence Centre, Faculty of Mechanical Engineering Universiti Teknologi MARA, Shah Alam Selangor, Malaysia
azulkifli127@uitm.edu.my
Keywords: Examination hall robot, infrared line following sensor, RFID, autonomous system
Abstract.
Civil, Environ.
Civil, Environ.
Online since: January 2022
Authors: Jean-Luc Hanus, Parmo Parmo, Naima Belayachi, Patrice Bailly
The energy efficiencies are superimposed on the engineering stress-strain curves for the experiments in the two directions (perpendicular and parallel) and three test speeds (Fig. 4).
The DIC has been found to be a very interesting tool for a better evaluation of elasticity properties. 5 ACKNOWLEDGMENTS The authors would like to thank the MoRA-INSA Scholarship on Applied Science and Technology (SAST) program, the laboratory of Mechanic Gabriel LaMé-INSA Centre Val de Loire, and the laboratory of civil engineering of Polytech d’Orleans for supporting this research.
The DIC has been found to be a very interesting tool for a better evaluation of elasticity properties. 5 ACKNOWLEDGMENTS The authors would like to thank the MoRA-INSA Scholarship on Applied Science and Technology (SAST) program, the laboratory of Mechanic Gabriel LaMé-INSA Centre Val de Loire, and the laboratory of civil engineering of Polytech d’Orleans for supporting this research.
Online since: November 2016
Authors: Ralf Schledjewski, Harald Grössing
Introduction
Nowadays, Liquid Composite Molding (LCM) processes are popular composite manufacturing methods which are used in the civil, aerospace, and automotive industry.
In order to develop an efficient processing strategy for both, VARI and RTM, numerical filling simulations can help the composite manufacturing engineer.
The numerical filling simulation, which helps the engineer to optimize the tool design and to predict the mold filling time, is a very important supporting technical tool for the further development of the LCM processes [16,[] M.
In order to develop an efficient processing strategy for both, VARI and RTM, numerical filling simulations can help the composite manufacturing engineer.
The numerical filling simulation, which helps the engineer to optimize the tool design and to predict the mold filling time, is a very important supporting technical tool for the further development of the LCM processes [16,[] M.