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Engineering - Civil Engineering | KSCE Journal of Civil Engineering (Press)

KSCE Journal of Civil Engineering

KSCE Journal of Civil Engineering

Editor-in-Chief: Ho-Kyung Kim

ISSN: 1226-7988 (print version)
ISSN: 1976-3808 (electronic version)

Journal no. 12205

※ Two Special Issues will be published in 2018 on different topics. Please see the detailed information below.

2019 Special Issue - Call for Proposals 

The KSCE Journal of Civil Engineering invites researchers to submit a proposal for a Special Issue scheduled for publication in February, 2019.
Proposal Form and detailed information link can be found on the right hand column of this page under For Authors and Editors.
Submission deadline: December 29, 2017

2018 February Special Issue - closed 

Probabilistic learning for decision-making on civil infrastructures under uncertainties

Paper Submission Deadline: September 15, 2017

Guest Editors:

Prof. Junho Song, Prof. Daniel Straub, Prof. Matteo Pozzi
Civil infrastructures are subject to risks related to various types of uncertainties in structural deterioration, natural hazards such as earthquakes and winds, and man-made disasters. These uncertainties may change significantly over the life time of the infrastructures, as evidenced in climate change impacts. Therefore, it is crucial to understand the impacts of these uncertainties based on data and information from various sources such as sensors, data repositories and expert opinions. The main purpose of this “probabilistic learning” is to facilitate risk-based optimal decision-making related to planning, monitoring, maintenance and disaster response. Recently, significant research efforts have been made to develop advanced methods for probabilistic learning and optimal decision-making. In conjunction with the fast development of sensor and information technologies, probabilistic learning is expected to transform the way we are understanding and monitoring the risk of civil infrastructures and establish a powerful and adaptive platform for risk-based decision-making.
This special issue aims at identifying the latest methodological advances and transformative application examples in the topic area of probabilistic learning for optimal decision-making on civil infrastructures under uncertain environments. This aim will be achieved by acquiring contributions from eminent researchers in this topic area from academia, laboratories, and industry. These contributions are expected to establish today’s technological benchmarks from which the next generation of probabilistic learning in civil engineering will evolve.

Submission Guidelines:

For the detailed guidelines for preparing your research manuscript, please refer to the “Instructions for Authors” on the top right side of this page or via the link below:
Please submit your manuscript via the Journal’s online submission system by clicking on "Submit Online" on the top right side of this page which will take you to Editorial Manager or via the link below (then choose “2018 SI: Probabilistic learning for decision-making on civil infrastructures under uncertainties”)

Key Dates:

Call for papers: 22 March 2017
Deadline of Full Paper Submission: 31 Aug 2017
Notification of Final Decision: 31 Oct 2017
Proofreading: Dec 2017

Guest Editor Team for 2018 February Special Issue

Prof. Junho Song (Principal Guest Editor)
Dept. of Civil and Environmental Engineering, Seoul National University, Seoul, Korea
Prof. Daniel Straub
Engineering Risk Analysis Group, Technische Universität München, München, Germany
Prof. Matteo Pozzi
Dept. of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA, USA

2018 April Special Issue - Closed 

Mechanistic Evaluation of Asphalt Paving Materials and Structures

Paper Submission Deadline: November 30, 2017

Guest Editors:

Prof. Youngsoo Richard Kim, Prof. Zhanping You, Prof. Hainian Wang
Road transportation is a basic necessity for commerce, travel, and daily life. In most countries, the asphalt pavement network is one of the largest civil infrastructure investments; however, the conditions of these pavement networks require significant and continued attention. In addition, the materials and technologies used for asphalt paving have become increasingly complex and now include warm mix asphalts, reclaimed asphalt pavement, and recycled asphalt shingles, to name a few. Despite the level of investment and technological advances in materials and pavement designs, the sometimes lack of satisfactory performance outcomes has encouraged the asphalt paving industry and highway agencies to shift from empirically-based specifications and design methods to more mechanistic ones. The benefits of mechanistic design and analysis methods compared to empirically-based methods include that they provide: 1) a better understanding of the mechanisms that determine the performance of asphalt materials and pavements, 2) more reliable and accurate test methods and models, 3) the ability to design better performing materials, 4) the ability to develop customized materials and structures to meet specific project conditions, 5) improved pavement network performance, and 6) cost savings due to the longer life of pavements and less maintenance. The purpose of this special issue is to present a compilation of state-of-the-art research into the mechanistic modeling of asphalt materials and pavements. This issue includes articles that introduce and discuss advanced pavement technologies that have been developed in different countries.

Submission Guidelines:

For the detailed guidelines for preparing your research manuscript, please refer to the “Instructions for Authors” on the top right side of this page or via the link below:
Please submit your manuscript via the Journal’s online submission system by clicking "Submit Online" on the top right side of this page which will take you to Editorial Manager or via the link below (then choose “2018 SI: Mechanistic Evaluation of Asphalt Paving Materials and Structures”)

Key Dates:

Call for papers: 30 March 2017
Deadline of Full Paper Submission: 31 Oct 2017
Notification of Final Decision: 31 Dec 2017
Proofreading: Jan 2017

Guest Editor Team for 2018 April Special Issue

Prof. Youngsoo Richard Kim (Principal Guest Editor)
Dept. of Civil, Construction, & Environmental Engineering, North Carolina State University, Raleigh, NC, USA
Prof. Zhanping You
Dept. of Civil and Environmental Engineering, Michigan Technological University, Houghton, MI, USA
Prof. Hainian Wang
School of Highway, Chang'an University, South Erhuan Middle Section, Xi'an, China

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For authors and editors

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  • Aims and Scope

    Aims and Scope


    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.

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