A Bayesian updating approach for bridge condition assessment using visual inspection data

2016 ◽  
Vol 7 (2) ◽  
pp. 127
Author(s):  
Mojtaba Dirbaz ◽  
Mehdi Modares ◽  
Jamshid Mohammadi
Keyword(s):  
Visual Inspection ◽  
Bayesian Updating ◽  
Condition Assessment ◽  
Bridge Condition Assessment ◽  
Inspection Data

scholarly journals A Condition Assessment of the Profile and Non-Structural Factors of the Buildings in the University of Eastern Philippines

2021 ◽  
pp. 38-48
Author(s):  
Ric L. Gonzaga
Keyword(s):  
Visual Inspection ◽  
American Concrete Institute ◽  
Condition Assessment ◽  
End Users ◽  
School Buildings ◽  
Structural Factors ◽  
Survey Questionnaire ◽  
College Of Nursing ◽  
Inspection Data ◽  
The University

This study discusses on the condition assessment of the profile and non-structural factors of the buildings in the University of Eastern Philippines was undertaken to determine the level of functionality of the building as perceived by the end users, to find out the serviceability of the buildings structure, and to assess the profile and non-structural factors of the buildings in the University of Eastern Philippines. The study utilized ocular/visual inspection, data and documents review, applying the instrument made by Coronilli [1], survey questionnaire as perceived by the end users, and the American Concrete Institute (ACI) guidelines on the condition of the selected buildings in the University of Eastern Philippines-Main Campus. Cracking of concrete are classified into structural and non-structural cracks. Non-structural cracking was observed in the buildings inspected and the College of Nursing is the most critical building in terms of cracks of the building. Furthermore, College of Science obtained 3.07 was perceived as most functional building according to the end users. The school buildings which are in need of repair is the College of Nursing buildings.

Two-tier data fusion method for bridge condition assessment

2018 ◽  
Vol 45 (3) ◽  
pp. 197-214 ◽  
Author(s):  
Marwa Ahmed ◽  
Osama Moselhi ◽  
Anjan Bhowmick
Keyword(s):  
Data Fusion ◽  
Case Studies ◽  
Feature Fusion ◽  
Condition Assessment ◽  
Core Sample ◽  
Cell Potential ◽  
Fused Image ◽  
Fusion Methods ◽  
Bridge Condition Assessment ◽  
Inspection Data

Fusing collected inspection data provides comprehensive and relatively more accurate diagnostics of defects and accordingly more accurate condition assessment of structures. This paper presents a new two-tier method that utilized data fusion methods for condition assessment of reinforced concrete bridge decks. The method utilizes pixel and feature levels fusion of data collected from multiple nondestructive evaluation (NDE) methods such as ground penetrating radar, impact echo, half-cell potential, and electrical resistivity. Data and measurements of NDE methods are extracted from the Iowa Highway research board project 2011 report for three case studies. It is observed from the three cases that each level of data fusion has its unique advantage. The power of pixel level fusion lies in its ability to provide an overview of bridge deck deterioration in one map as it appears in the fused image. On the other hand, feature fusion works better when only specific types of defects such as corrosion, delamination, and deterioration captured from inspection carried out by each of technologies referred to above. The proposed method is tested against filed inspection methods and core sample results described in the three case studies. The main findings of this research recommend utilizing data fusion in two levels as a new method to facilitate and enhance the confidence and capabilities of inspectors in interpretation of the NDE test results.

scholarly journals Performance-Based Ranking of Existing Road Bridges

2021 ◽  
Vol 11 (10) ◽  
pp. 4398
Author(s):  
Ana Mandić Ivanković ◽  
Dominik Skokandić ◽  
Marija Kušter Marić ◽  
Mladen Srbić
Keyword(s):  
Traffic Safety ◽  
Performance Indicators ◽  
Damage Assessment ◽  
Visual Inspection ◽  
Condition Assessment ◽  
Structural Safety ◽  
Assessment Procedure ◽  
Bridge Condition Assessment ◽  
Existing Bridges

Bridge condition assessment in most European countries is based on visual inspection in combination with damage assessment of bridge components. For adequate bridge management, the assessment needs to be further developed to move from the bridge component level to the system functionality level and finally to the priority ranking level for repairs in the network. Although visual inspection provides only qualitative insights into bridge condition and cannot predict load-carrying capacity, it is still very often the only way to collect data on existing bridges and can provide very important information for evaluating structural safety, traffic safety, durability, and overall bridge condition. Therefore, this paper presents a unique procedure that establishes a relationship between a country-specific bridge condition assessment procedure based on visual inspection and the systematization of key bridge performance indicators developed within the European integrated management approach at three complementary and interrelated levels—component, system, and network levels. The assessment procedure for existing bridges initiates with damage assessment based on visual inspection of bridge components and runs through weighting at component, system, and network levels to the six most important key performance indicators (KPIs) for road bridges, which are organized as graphical and numerical inputs for ranking priority maintenance. These are bridge condition assessment, structural safety, traffic safety, durability indicator, availability, and the importance of the bridge in the network. The procedure is validated on a case study set of five real bridges, using the decision-making process as an example for the small sample size. The case study bridges differ in cross-section, type, and span (which vary from 9.5 to 72 m). The bridges were built between 1958 and 2001 and are located either on state or municipal roads in Croatia. The results, in terms of condition classification and priorities of future interventions within the representative group of bridges, justify the application of the described assessment procedure. Additional digitization efforts could easily implement the described assessment approach at the infrastructure network level.

Urban Railway Bridge Fast Evaluation Based on Cloud Computing

2011 ◽  
Vol 71-78 ◽  
pp. 4501-4505
Author(s):  
Ming Chen ◽  
Wan Zhou
Keyword(s):  
Neural Networks ◽  
Cloud Computing ◽  
Model Updating ◽  
Condition Assessment ◽  
Fe Model ◽  
Railway Bridge ◽  
Fast Evaluation ◽  
Railway Bridges ◽  
Computing Model ◽  
Bridge Condition Assessment

Although modern bridge are carefully designed and well constructed, damage may occur in them due to unexpected causes. Currently, many different techniques have been proposed and investigated in bridge condition assessment. However, evaluation efficiency of condition assessment has not been paid much attention by the researchers. A fast evaluation of the urban railway bridge condition based on the cloud computing is presented. In this paper dynamic FE model and Artificial neural networks technique is applied to model updating. The cloud computing model provides the basis for fast analyses. It was found that when applied to the actually railway bridges, the proposed method provided results similar to those obtained by experts, but can improve efficiency of bridge

A practical approach for supporting decisions in bridge condition assessment and monitoring

2019 ◽  
Author(s):  
Dániel Honfi ◽  
John Leander ◽  
Ivar Björnsson ◽  
Oskar Larsson Ivanov
Keyword(s):  
Measurement Techniques ◽  
Condition Assessment ◽  
Illustrative Case ◽  
Public Authorities ◽  
Daily Work ◽  
Rational Decision Making ◽  
Bridge Condition Assessment ◽  
Assessment And Monitoring ◽  
Illustrative Case Study

<p>In this contribution a practical and rational decision-making approach is presented to be applied for common bridges typically managed by public authorities. The authors have developed a model with the intention to be applicable for practical cases for common bridges in the daily work of bride operators responsible for a large number of assets, yet still maintain the principles of more generic frameworks based on probabilistic decision-theory.</p><p>Three main attributes of the verification of sufficiency of structural performance are considered, namely: 1) the level of sophistication of modelling performance, 2) the degree of verification and acceptance criteria in terms of dealing with uncertainties and consequences, 3) the extent of information is obtained and incorporated in the verification.</p><p>The simplicity of the approach is demonstrated through an illustrative case study inspired by practical condition assessment decision problems. It is argued that in practical cases it may be desirable to utilize less advanced methods owing to constraints in resources or lack of reliable data (e.g. based on structural health monitoring or other on-site measurement techniques).</p>

Bridge life-cycle prediction through visual inspection data updating

2016 ◽  
pp. 1518-1525
Author(s):  
Mariano Angelo Zanini ◽  
Flora Faleschini ◽  
Carlo Pellegrino
Keyword(s):  
Life Cycle ◽  
Visual Inspection ◽  
Inspection Data ◽  
Data Updating
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