Mathematical Problems in Engineering

Statistical and Probabilistic Approach in Monitoring-based Structure Rating and Risk Assessment


Publishing date
16 May 2014
Status
Published
Submission deadline
27 Dec 2013

Lead Editor

1School of Civil Engineering, Dalian University of Technology, Dalian 116023, China

2School of Architecture and Civil Engineering, Xiamen University, Xiamen 361005, China

3Medway School of Engineering, The University of Greenwich Central Avenue, Chatham Maritime, Kent ME4 4TB, UK

4School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA


Statistical and Probabilistic Approach in Monitoring-based Structure Rating and Risk Assessment

Description

Aging civil infrastructural facilities like long-span bridges, super-tall buildings, and large-scale space structures that form the life of a country's economy are facing a severe crisis in some countries. Long service lives, inadequate designs, and increasing extreme loads are responsible for the current state of affairs. Thus, knowledge about the in-service condition of the structures is one of the most essential parts required for the engineering community. This opens a wide field for structural health monitoring (SHM) systems which are set up to assure the safe operation of structures requiring linking sensors with computational tools able to interpret sensor data in terms of structural performance. Although intensive development continues on innovative sensor systems, there is still considerable uncertainty in deciding structural behavior since there are many factors in abundant measured data from the SHM system that may influence the health assessment of a structure. The most appropriate and efficient way to alleviate this multiple input problem is by the statistical and probabilistic approach including data normalization, feature extraction, statistical modeling, risk management, and so forth.

Therefore, in the light of the these considerations, we invite investigators to contribute original research papers as well as review papers for this special issue that aim at becoming an international forum for researchers and practitioners to summarize the most recent advances, progress, and ideas in the field of the statistical and probabilistic approach and its application in structure rating and risk assessment; more specifically, the focus will be on parametric tests, correlation analysis, regression analysis, cluster analysis, principal component analysis, factor analysis, correlation analysis, decision tree analysis, and Bayesian, rough set, and support vector machines, and so forth. Potential topics include, but are not limited to:

  • Data compression and cleaning
  • Data mining and fusing technology
  • Pattern recognition and feature extraction
  • Damage detection and condition assessment
  • Performance prediction and risk management
  • Other related issues

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/spa/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2014
  • - Article ID 273693
  • - Research Article

Semiempirical Methodology for Estimating the Service Life of Concrete Deck Panels Strengthened with Fiber-Reinforced Polymer

Eon-Kyoung Kim | Hongseob Oh | Jongsung Sim
  • Special Issue
  • - Volume 2014
  • - Article ID 704804
  • - Research Article

Performance and Risk Assessment of Soil-Structure Interaction Systems Based on Finite Element Reliability Methods

Quan Gu
  • Special Issue
  • - Volume 2014
  • - Article ID 467369
  • - Research Article

Contributions of Flexible-Arch Configurations in Shimenzi Arch Dam: New Evidence from Field Measurements

Jianwen Zhong | Enzhi Wang | ... | Penghui Li
  • Special Issue
  • - Volume 2014
  • - Article ID 639867
  • - Research Article

Assessment on Time-Varying Thermal Loading of Engineering Structures Based on a New Solar Radiation Model

Bo Chen | Yu-zhou Sun | ... | Ling-yan Duan
  • Special Issue
  • - Volume 2014
  • - Article ID 183209
  • - Research Article

A New Safety Factor Prediction Model for Mass Concrete Surface Cracking in Early Age

Sheng Qiang | Min-zhi Liu
  • Special Issue
  • - Volume 2014
  • - Article ID 514606
  • - Research Article

A Real-Time Temperature Data Transmission Approach for Intelligent Cooling Control of Mass Concrete

Peng Lin | Qingbin Li | Pinyu Jia
  • Special Issue
  • - Volume 2014
  • - Article ID 592870
  • - Research Article

Numerical Manifold Method with Endochronic Theory for Elastoplasticity Analysis

Wei Zeng | Junjie Li | Fei Kang
  • Special Issue
  • - Volume 2013
  • - Article ID 482641
  • - Research Article

Durability Environmental Regionalization for Concrete Structures

Daming Luo | Yan Wang | Ditao Niu
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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