Advances in Civil Engineering

Advanced Mathematics for Risk Analysis in Civil Engineering


Publishing date
01 Feb 2021
Status
Closed
Submission deadline
02 Oct 2020

Lead Editor

1Tsinghua University, Beijing, China

2University of Porto, Porto, Portugal

3Wuhan University, Wuhan, China

4China University of Geosciences, Wuhan, USA

This issue is now closed for submissions.

Advanced Mathematics for Risk Analysis in Civil Engineering

This issue is now closed for submissions.

Description

Mathematical work is important in the field of civil engineering. The natural variability of civil engineering design including materials properties, combined with the common problem of data scarceness, makes a probabilistic approach to structural/geotechnical design quite necessary and challenging. Risk assessments and reliability-based design are increasingly needed in many large engineering construction projects. Advanced mathematical and risk analysis is highly recognized in some design codes as a way of delivering reasonable load and resistance factors in civil engineering design.

The aim of this Special Issue is to provide an opportunity for researchers to exchange and disseminate the recent developments in the mathematical problems of civil engineering. All original research articles addressing significant issues and contributing towards the development of new methodologies, concepts, applications, and knowledge to science are encouraged to join this special issue. Review articles describing the current state of the art are also welcome.

Potential topics include but are not limited to the following:

  • Risk assessment and management in civil engineering
  • Advances in mathematical modelling for civil engineering uncertainties
  • Reliability method development and reliability-based design
  • Mathematical problems in civil engineering: landslides, dams and levees, structural design and random vibrations
  • Application of theory of statistics and probability in civil engineering
Advances in Civil Engineering
 Journal metrics
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Acceptance rate20%
Submission to final decision113 days
Acceptance to publication22 days
CiteScore3.400
Journal Citation Indicator0.370
Impact Factor1.8
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