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 474289
  • - Research Article

Multigene Genetic Programming for Estimation of Elastic Modulus of Concrete

Alireza Mohammadi Bayazidi | Gai-Ge Wang | ... | Amir H. Gandomi
  • Special Issue
  • - Volume 2014
  • - Article ID 957850
  • - Research Article

A Bioinspired Tilt Sensor Model with Adaptive Gain and Enhanced Sensitivity

Lijun Liu | Ying Lei
  • Special Issue
  • - Volume 2014
  • - Article ID 371456
  • - Research Article

A Real-Time Location-Based Services System Using WiFi Fingerprinting Algorithm for Safety Risk Assessment of Workers in Tunnels

Peng Lin | Qingbin Li | ... | Senying Hu
  • Special Issue
  • - Volume 2014
  • - Article ID 236304
  • - Research Article

Probabilistic and Nonprobabilistic Sensitivity Analyses of Uncertain Parameters

Sheng-En Fang | Qiu-Hu Zhang | ... | Xiao-Hua Zhang
  • Special Issue
  • - Volume 2014
  • - Article ID 638209
  • - Review Article

A Summary Review of Correlations between Temperatures and Vibration Properties of Long-Span Bridges

Guang-Dong Zhou | Ting-Hua Yi
  • Special Issue
  • - Volume 2014
  • - Article ID 602818
  • - Research Article

Numerical Analysis on Temperature Rise of a Concrete Arch Dam after Sealing Based on Measured Data

Qingbin Li | Guohe Liang | ... | Zheng Zuo
  • Special Issue
  • - Volume 2014
  • - Article ID 568637
  • - Research Article

Numerical and Experimental Investigation on Parameter Identification of Time-Varying Dynamical System Using Hilbert Transform and Empirical Mode Decomposition

Jun Chen | Guanyu Zhao
  • Special Issue
  • - Volume 2014
  • - Article ID 130274
  • - Research Article

A Damage Prognosis Method of Girder Structures Based on Wavelet Neural Networks

Rumian Zhong | Zhouhong Zong | ... | Sujing Yuan
  • Special Issue
  • - Volume 2014
  • - Article ID 804586
  • - Research Article

Uniform Nonlinear Constitutive Model and Parameters for Clay in Different Consolidation Conditions Based on Regression Method

Tao Cheng | Keqin Yan | ... | Shengfang Li
  • Special Issue
  • - Volume 2014
  • - Article ID 784731
  • - Research Article

Impedance-Based Cable Force Monitoring in Tendon-Anchorage Using Portable PZT-Interface Technique

Thanh-Canh Huynh | Jeong-Tae Kim
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
 Submit

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.