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KSCE Journal of Civil Engineering

ISSN: 1226-7988

官网: http://link.springer.com/journal/12205

出版商: Springer

Description:

The KSCE Journal of Civil Engineering is a technical monthly journal of the Korean Society of Civil Engineers. The journal reports original study results (both academic and practical) on past practices and present information in all civil engineering fields. The journal publishes original papers within the broad field of civil engineering, which includes, but are not limited to, the following: coastal and harbor engineering, construction management, environmental engineering, geotechnical engineering, highway engineering, hydraulic engineering, information technology, nuclear power engineering, railroad engineering, structural engineering, surveying and geo-spatial engineering, transportation engineering, tunnel engineering, and water resources and hydrologic engineering. Both theoretical and practice-oriented papers, including case studies and reviews, are encouraged. From 2018, the journal will be published monthly including two special issues, consisting of 50 papers per issue.

Title Scholar cited Year Review Cycle Accept Cycle
Laboratory investigation of stress state and grain composition affecting internal erosion in soils containing a suspended cut-off wall

Authors：Shuang Wang,Jiansheng Chen,Jinchang Sheng,Yulong Luo

Keywords：internal erosion,stress state,grain composition,suspended cut-off wall,dilatancy,erosion mechanism

DOI：10.1007/s12205-015-0719-z

Received：2014-11-28 ; Revised：2015-04-16 ; Accepted：2015-05-22 ; Online：2015-06-26

- 2016 4.2 5.8
The runoff uncertainty caused by the mismatch between the radar rain rate and the topographical information data

Authors：Jungsoo Yoon,Jeongho Choi,Chulsang Yoo,Kyoungjun Kim

Keywords：ModClark,radar rain rate,topographic information data,horizontal drift distance,runoff uncertainty

DOI：10.1007/s12205-015-0247-x

Received：2014-05-13 ; Revised：2014-12-04 ; Accepted：2015-01-09 ; Online：2015-06-26

- 2016 6.4 8
An experimental research on self-consolidating concrete using tungsten Mine Tailings

Authors：Yong Jic Kim,Young Jin Kim,Yun Wang Choi

Keywords：Tungsten mine Tailings (TMT),viscosity,yield stress,carbonation depth,drying shrinkage rate

DOI：10.1007/s12205-015-0196-4

Received：2014-04-13 ; Revised：2014-09-27 ; Accepted：2015-05-25 ; Online：2015-06-22

- 2016 5.1 13.6
An improvement approach based on DEA-game theory for comparison of operational and spatial efficiencies in urban transportation systems

Authors：Mustafa Jahangoshai Rezaee,Hamidreza Izadbakhsh,Samuel Yousefi

Keywords：data envelopment analysis,game theory,transportation,operational measures,spatial measures,unified efficiency

DOI：10.1007/s12205-015-0345-9

Received：2014-06-25 ; Revised：2015-03-09 ; Accepted：2015-05-06 ; Online：2015-06-22

- 2016 8.1 10.5
Characteristics of desulfurized rubber asphalt and mixture

Authors：Tao Ma,Yongli Zhao,Xiaoming Huang,Yao Zhang

Keywords：desulfurized rubber,crumb rubber,asphalt,modification mechanism,performance

DOI：10.1007/s12205-015-1195-1

Received：2015-03-09 ; Revised：2015-04-29 ; Accepted：2015-05-28 ; Online：2015-06-22

- 2016 1.2 2.7
Unit modular in-fill construction method for high-rise buildings

Authors：Hyung Keun Park,Jong-Ho Ock

Keywords：prefabricated construction,modular technology,modular in-fill method,cost effectiveness,schedule compression

DOI：10.1007/s12205-015-0198-2

Received：2015-03-09 ; Revised：2015-04-30 ; Accepted：2015-05-19 ; Online：2015-06-22

- 2016 1.3 2.4
Numerical simulation of flow past two circular cylinders in tandem and side-by-side arrangement at low Reynolds numbers

Authors：Huy Cong Vu,Jungkyu Ahn,Jin Hwan Hwang

Keywords：drag coefficient,circular cylinder,vortex shedding,wake,separation

DOI：10.1007/s12205-015-0602-y

Received：2014-10-10 ; Revised：2015-02-28 ; Accepted：2015-05-22 ; Online：2015-06-22

- 2016 4.2 7.5
Development of a crack recognition algorithm from non-routed pavement images using artificial neural network and binary logistic regression

Authors：Hyun-Seok Yoo,Young-Suk Kim

Keywords：crack recognition,crack sealing machine,noise elimination,artificial neural network,binary logistic regression analysis,crack detection algorithm

DOI：10.1007/s12205-015-1645-9

Received：2014-10-28 ; Revised：2015-04-06 ; Accepted：2015-05-22 ; Online：2015-06-22

- 2016 4.9 6.9
A comparison of Artificial Neural Networks (ANN) and Local Linear Regression (LLR) techniques for predicting monthly reservoir levels

Authors：Muhammad Ali Shamim,Muhammad Hassan,Sameel Ahmad,Muhammad Zeeshan

Keywords：reservoir level,Artificial Neural Network ANN,Local Linear Regression LLR,Gamma Test (GT)

DOI：10.1007/s12205-015-0298-z

Received：2014-06-02 ; Revised：2014-11-15 ; Accepted：2015-02-07 ; Online：2015-06-19

- 2016 5.1 8.3
Use of Shitalakhya River Water as makeup water in power plant cooling system

Authors：Mahbuboor R. Choudhury,Md. Abu Z. Siddik,Md. Zilley E. I. Salam

Keywords：corrosion,corrosion inhibitor,metal alloys,recirculating cooling systems,weight loss

DOI：10.1007/s12205-015-1369-x

Received：2014-07-07 ; Revised：2014-11-28 ; Accepted：2014-12-08 ; Online：2015-06-19

- 2016 4.3 5.1