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Online since: October 2011
Authors: Tao Wang, Xi Chen, Rui Teng
A friction damper with variable post-sliding stiffness
WANG Tao1, a, CHEN Xi1,b and TENG Rui1,c
1Institute of Engineering Mechanics, China Earthquake Administration, Yanjiao, Hebei, China
awangtao2004@gmail.com, bcx8171@126.com, cmr.tr@163.com
Keywords: Friction damper; Passive control; Energy-dissipation device, Collapse prevention.
Introduction In the past decades, passive energy consumption system has been extensively applied in the civil engineering [1].
Ou, Recent Advances in Research and Application of Passive Energy Dissipation Systems, Earthquake Engineering and Engineering Vibration, 16(3), 72-98 (1996)
Kimura, JSSI Manual for Building Passive Control Technology: Part- 1 Manual contents and design/analysis methods, Proc. 13th World Conference on Earthquake Engineering, Canada, No. 2989 (2004)
Cherry, Comparative Performance of Friction Damper Systems and Base Isolation Systems for Earthquake Retrofit and Aseismic Design, Earthquake Engineering and Structural Dynamics 16, 57-78 (1988)
Introduction In the past decades, passive energy consumption system has been extensively applied in the civil engineering [1].
Ou, Recent Advances in Research and Application of Passive Energy Dissipation Systems, Earthquake Engineering and Engineering Vibration, 16(3), 72-98 (1996)
Kimura, JSSI Manual for Building Passive Control Technology: Part- 1 Manual contents and design/analysis methods, Proc. 13th World Conference on Earthquake Engineering, Canada, No. 2989 (2004)
Cherry, Comparative Performance of Friction Damper Systems and Base Isolation Systems for Earthquake Retrofit and Aseismic Design, Earthquake Engineering and Structural Dynamics 16, 57-78 (1988)
Online since: October 2011
Authors: Rui Sun, Xiao Ming Yuan, Yong Zhi Wang
Introduction
The superiority of dynamic centrifugal model tests to soil dynamics and geotechnical earthquake engineering has become an international consensus [1-2], simultaneously large scale centrifugal shakers with the maximum shaking load≥1000kg have become an important index for technical level evaluation of a country’s geotechnical earthquake engineering testing.
Such situation severely limits the development of domestic geotechnical earthquake engineering [3].
Rui SUN, Xiaoming YUAN, Yongzhi WANG, et al: World Earthquake Engineering.
Yongzhi WANG, Rui SUN, Longwei CHEN, et al: World Earthquake Engineering.
M.W.Gui, D.S.Jeng: Open Civil Engineering Journal.
Such situation severely limits the development of domestic geotechnical earthquake engineering [3].
Rui SUN, Xiaoming YUAN, Yongzhi WANG, et al: World Earthquake Engineering.
Yongzhi WANG, Rui SUN, Longwei CHEN, et al: World Earthquake Engineering.
M.W.Gui, D.S.Jeng: Open Civil Engineering Journal.
Online since: November 2012
Authors: Zheng Rong Zhao, Hong Xia Yang
Construction Quality Control of Dynamic Compaction Method
Treatment Collapsible Loess Foundation
Zhengrong Zhao1,a, Hongxia Yang1,b
1Department of Civil Engineering, Shandong Jiaotong University, Jinan, Shandong, 250023, China
azhaozhengrong0531@163, byanghongxia0531@163.com
Keywords:Dynamic compaction method,Collapsible loess,Construction parameters,Quality control.
Pay close attention to the unusual phenomenon during the compacting process, such as uplift around the ram pit and abnormal amount of ram, requiring construction organization accurately record the anomaly phenomenon to the supervising engineer, identify the reasons and dispose
Detect the coefficient of collapsibility, dry density and carrying capacity after 7 days full ram, the detection position chosen by the supervising engineer according to the frequency of testing is shown in Table 4 under the most unfavorable situation.
Engineering geology.
[7] Test Methods of Soils Highway Engineering.
Pay close attention to the unusual phenomenon during the compacting process, such as uplift around the ram pit and abnormal amount of ram, requiring construction organization accurately record the anomaly phenomenon to the supervising engineer, identify the reasons and dispose
Detect the coefficient of collapsibility, dry density and carrying capacity after 7 days full ram, the detection position chosen by the supervising engineer according to the frequency of testing is shown in Table 4 under the most unfavorable situation.
Engineering geology.
[7] Test Methods of Soils Highway Engineering.
Online since: October 2012
Authors: Ru Liu, Wei Qing Tang, Yao Feng Xie, Jie Ping Tang
In the engineering, more attention should be paid to this.
THE OCEAN ENGINEERING, 2002,20(2):38-42.
ABAQUS application in Civil Engineering [M].
Chinese Journal of geotechnical engineering, 1994,16(6):103-116.
Soil Dynamics and Earthquake Engineering, 2005, 25:811–825
THE OCEAN ENGINEERING, 2002,20(2):38-42.
ABAQUS application in Civil Engineering [M].
Chinese Journal of geotechnical engineering, 1994,16(6):103-116.
Soil Dynamics and Earthquake Engineering, 2005, 25:811–825
Online since: June 2014
Authors: Raza Ul Mustafa Muhammad, Khamaruzaman Wan Yusof, Mohamed Hasnain Isa, Ahmad Safwan Abu Bakar
Prediction of Suspended Sediments in a Hyper – Concentrated River Using Neural Networks
Muhammad Raza Ul Mustafa1, a, Ahmad Safwan Abu Bakar1,b ,
Mohamed Hasnain Isa1,c, Khamaruzaman B Wan Yusof1,d
1Department of Civil Engineering, Universiti Teknologi PETRONAS, Tronoh 31750, Perak, Malaysia
araza.mustafa@petronas.com.my, bahmadsafwanabubakar@gmail.com, chasnain_isa@petronas.com.my, dkhamaruzaman.yusof@petronas.com.my
Keywords: Prediction; Sediment; River; Radial Basis Function; Neural Network
Abstract.
Introduction Estimation of suspended sediment is vital in water resources engineering as the design of hydraulic structures relies on suspended sediment.
Rezaur, "Artificial Neural Networks Modeling in Water Resources Engineering: Infrastructure and Applications International," World Academy of Science, Engineering and Technology, vol. 62, pp. 341-349, 2012
Isa, "Prediction of pore-water pressure using radial basis function neural network," Engineering Geology, vol. 135–136, pp. 40-47, 2012
Shamseldin, "Investigation of Internal Functioning of the Radial-Basis-Function Neural Network River Flow Forecasting Models," Journal of Hydrologic Engineering, vol. 14, pp. 286-292, 2009
Introduction Estimation of suspended sediment is vital in water resources engineering as the design of hydraulic structures relies on suspended sediment.
Rezaur, "Artificial Neural Networks Modeling in Water Resources Engineering: Infrastructure and Applications International," World Academy of Science, Engineering and Technology, vol. 62, pp. 341-349, 2012
Isa, "Prediction of pore-water pressure using radial basis function neural network," Engineering Geology, vol. 135–136, pp. 40-47, 2012
Shamseldin, "Investigation of Internal Functioning of the Radial-Basis-Function Neural Network River Flow Forecasting Models," Journal of Hydrologic Engineering, vol. 14, pp. 286-292, 2009
Online since: May 2011
Authors: Peng Cao, De Cheng Feng, Hong Yan Ma, Wen Xin Zuo
Which mechanics method should be used to predict fatigue cracking of asphalt pavement has been one of most important problem of pavement engineering.
China Civil Engineering Journal, 1992, 25 (2): 13~22
Highway Engineering 2008. 12( 2 ):109~120
International Journal for Numerical Methods in Engineering, 1999,46:131~150
Engineering Mechanics. 2007,24(7):6-10
China Civil Engineering Journal, 1992, 25 (2): 13~22
Highway Engineering 2008. 12( 2 ):109~120
International Journal for Numerical Methods in Engineering, 1999,46:131~150
Engineering Mechanics. 2007,24(7):6-10
Online since: May 2011
Authors: Ye Cheng, Cui Ying Zhou, Jin Rong Xie
Introduction
Foundation bearing capacity is an important issue in geotechnical engineering.
CHINESE JOUNAL OF GEOTECHNICAL ENGINEERING,1998,3,20(2):79-81.
N., probability and Statistics in Civil Engineering [M].
Application of genetic algorithm to reliability analysis of geotechnical engineering [J].
CHINESE JOUNAL OF GEOTECHNICAL ENGINEERING, 2000,22(5):586-589.
CHINESE JOUNAL OF GEOTECHNICAL ENGINEERING,1998,3,20(2):79-81.
N., probability and Statistics in Civil Engineering [M].
Application of genetic algorithm to reliability analysis of geotechnical engineering [J].
CHINESE JOUNAL OF GEOTECHNICAL ENGINEERING, 2000,22(5):586-589.
Online since: August 2012
Authors: Li Cai Wu, Zhang Long Chen, Chuang Yu
Study on Microstructure of Soil using MATLAB
YU Chuang WU Licai, CHEN Zhanglong,
(College of Architecture and Civil Engineering, Wenzhou University, Zhejiang Wenzhou 325035,China)
Keyword: soil; microstructure; Matlab; SEM image processing
ABSTRACT: This paper analyzed the feasibility of study on microstructure of soil using Matlab, and based on the theoretical model , introduced the fundamental principles, method and detailed process of dealing with soil SEM picture by making use of Matlab.
INTRODUCTION The soil microstructure is an important factor that determines the engineering properties of soil.
For one thing, through the study on soil microstructure, we can qualitatively explain the origin of some engineering properties of soil and some special engineering mechanics phenomenon.
Matlab is a very famous engineering software that was introduced by American MathWork Company in 1984, its strong graphics capability has known by many people, it has been widely used in a large amount of fields and acquire great achievement.
Chinese Journal of Geotechnical Engineering, 1998, 20(2):102-108 [3]H.
INTRODUCTION The soil microstructure is an important factor that determines the engineering properties of soil.
For one thing, through the study on soil microstructure, we can qualitatively explain the origin of some engineering properties of soil and some special engineering mechanics phenomenon.
Matlab is a very famous engineering software that was introduced by American MathWork Company in 1984, its strong graphics capability has known by many people, it has been widely used in a large amount of fields and acquire great achievement.
Chinese Journal of Geotechnical Engineering, 1998, 20(2):102-108 [3]H.
Online since: November 2015
Authors: Stanisław Legutko, Andrzej Metelski, W. Radoslaw Maruda, Grzegorz Królczyk
Taguchi Design of Experiment in the Optimization
of Tool Life in Turning Process of Duplex Stainless Steel DSS
KROLCZYK Grzegorz1,a, METELSKI Andrzej 2,b,
MARUDA Radoslaw 3,c and LEGUTKO Stanislaw 4,d
1 Faculty of Production Engineering and Logistics, Opole University of Technology,
Proszkowska 76, 45-758 Opole, Poland
2 Division of Mathematics and Applied Informatics, Opole University of Technology,
Luboszycka 3, 45-036 Opole, Opole, Poland
3 Faculty of Mechanical Engineering, University of Zielona Gora,
Prof.
Legutko, Determination of tool life and research wear during duplex stainless steel turning, Archives of Civil and Mechanical Engineering. 15, 2 (2015) 347 – 354
Arunkumar, Experimental Studies in Machining Duplex Stainless Steel using Response Surface Methodology, International Journal of Mechanical & Mechatronics Engineering. 14, 3 (2014) 48-61
Samtas, Application of Taguchi method for surface roughness and roundness terror in drilling of AISI 316 stainless steel, Journal of Mechanical Engineering. 58, 3 (2012) 165 -174
Roy, A primer on the Taguchi method, Society of Manufacturing Engineers, 2010.
Legutko, Determination of tool life and research wear during duplex stainless steel turning, Archives of Civil and Mechanical Engineering. 15, 2 (2015) 347 – 354
Arunkumar, Experimental Studies in Machining Duplex Stainless Steel using Response Surface Methodology, International Journal of Mechanical & Mechatronics Engineering. 14, 3 (2014) 48-61
Samtas, Application of Taguchi method for surface roughness and roundness terror in drilling of AISI 316 stainless steel, Journal of Mechanical Engineering. 58, 3 (2012) 165 -174
Roy, A primer on the Taguchi method, Society of Manufacturing Engineers, 2010.
Online since: August 2018
Authors: Javier Oliver, I.F. Dias, O. Lloberas-Valls
Computer Methods in Applied Mechanics and Engineering, Vol. 274(0) (2014), p. 289-348
[3] I.F.
Engineering Fracture Mechanics, Vol. 154 (2016), p. 288-310 [4] O.
Computer Methods in Applied Mechanics and Engineering, Vol. 308 (2016), p. 499-534 [5] J.R.
Engineering Fracture Mechanics, Vol. 176 (2017), p. 235-256 [10] Ł.
Computer Methods in Applied Mechanics and Engineering, Vol. 324 (2017), p. 54-73 [11] M.
Engineering Fracture Mechanics, Vol. 154 (2016), p. 288-310 [4] O.
Computer Methods in Applied Mechanics and Engineering, Vol. 308 (2016), p. 499-534 [5] J.R.
Engineering Fracture Mechanics, Vol. 176 (2017), p. 235-256 [10] Ł.
Computer Methods in Applied Mechanics and Engineering, Vol. 324 (2017), p. 54-73 [11] M.