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

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 6654802
  • - Research Article

Statistically Quantifying the Uncertainty in Strength of Marine Clay Stabilized by a Type of Portland-Fly Ash Cement

Zhi-Ren Zhu | Qiang-Qiang Cheng | ... | Yuan Su
  • Special Issue
  • - Volume 2021
  • - Article ID 8819393
  • - Research Article

Uncertainty and Sensitivity Analysis of Significant Parameters for Superlarge Diameter Shield Excavation

Elton J. Chen | Yang-Yang Chen | ... | Han-Bin Luo
  • Special Issue
  • - Volume 2021
  • - Article ID 8847771
  • - Research Article

Modal Analysis of Beam Structures with Random Field Models at Multiple Scales

Dan Feng
  • Special Issue
  • - Volume 2020
  • - Article ID 8898362
  • - Research Article

A Cloud Model-Based Risk Assessment Methodology for Tunneling-Induced Damage to Existing Tunnel

Tian Xu | Zhanping Song | ... | Yuncai Song
  • Special Issue
  • - Volume 2020
  • - Article ID 8883683
  • - Research Article

Causes of Delay in the Construction Projects of Subway Tunnel

Dingbang Zhang | Hang Zhang | Tao Cheng
  • Special Issue
  • - Volume 2020
  • - Article ID 8812277
  • - Research Article

Stability Analysis of a Two-Layered Slope with Cracks by Finite Element Limit Analysis

Ai-zhao Zhou | Gang Liu | ... | Yu Chen
  • Special Issue
  • - Volume 2020
  • - Article ID 8846467
  • - Research Article

Seismic Response Mitigation of a Long-Span Tower Bridge with Two Types of Constraint System

Li Xu | Qingfei Gao | ... | Kang Liu
  • Special Issue
  • - Volume 2020
  • - Article ID 8840200
  • - Research Article

Risk Assessment System Based on Fuzzy Composite Evaluation and a Backpropagation Neural Network for a Shield Tunnel Crossing under a River

Xiao Liang | Taiyue Qi | ... | Pengtao Chen
  • Special Issue
  • - Volume 2020
  • - Article ID 8820104
  • - Research Article

Condition Assessment of Tower and Mast Structures Monitored within One Cluster under Changing Environments

Changping Li | Xinteng Ma | Yang Liu
  • Special Issue
  • - Volume 2020
  • - Article ID 8897094
  • - Research Article

Reliability Analysis of a Direct Shear Test of Modified Iron Tailings Based on the Monte Carlo Algorithm

Ping Jiang | Jian Qian | Na Li
Advances in Civil Engineering
 Journal metrics
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Acceptance rate19%
Submission to final decision113 days
Acceptance to publication22 days
CiteScore3.400
Journal Citation Indicator0.370
Impact Factor1.8
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