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

scholarly journals Utilizing Effective Technology In High-Standard Road Defects Inventory System In Estonia

2021 ◽  
Vol 1202 (1) ◽  
pp. 012009
Author(s):  
Marek Truu ◽  
Romet Raun ◽  
Maret Jentson
Keyword(s):  
Data Collection ◽  
Visual Inspection ◽  
High Standard ◽  
Inventory System ◽  
Inventory Systems ◽  
Full Detail ◽  
Cloud Data ◽  
Road Pavement ◽  
Inspection Systems ◽  
Inspection Data

Abstract Road pavement is expected to withstand enormous traffic loads for long time but sooner or later the deterioration reaches levels when its optimal to apply treatment. While easy to measure roughness or rutting in normal traffic speed, defects are in most countries still collected by means of time-consuming visual inspection in low traffic speeds or expensive and difficult- to-use equipment. Also, most visual inspection systems only operate with aggregated inspection data. That makes data-collection expensive and defects-based decision-making inefficient. In Estonia, defects inventory system utilizes high quality panoramic and orthogonal images to enable data collection in traffic speeds and detailed mapping of pavement defects in 10 classes. Defects mapped in full detail means, that location, shape and size of each defect is known and classified data can be effectively used twice in pavement maintenance planning: for section selection planning in road network level when aggregated and for work method selection in design process when analyzed in detail. Combined with measured lidar-based point-cloud data, detailed 3d-basemap saves both road-owner's and road designer’s valuable time in design phase. In period of 2016-2020, around 35000km of state roads were analyzed with one of the most efficient road defects inventory systems in the world. Also, around 25000 km of municipal and forest roads have been captured with same technology covering several pavement types from bicycle paths to multilane streets and motorways. Current presentation discusses outcomes of Estonian defects inventory study in 2020.

Multiple repair scenario of life cycle cost of RCC girder bridge using Markov chain model

2019 ◽  
Vol 10 (4) ◽  
pp. 75
Author(s):  
Md. Shafiqul Islam ◽  
Shayla Sharmin ◽  
Jebunnesa Islam
Keyword(s):  
Markov Chain ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Markov Chain Model ◽  
Transition Probability ◽  
Chloride Concentration ◽  
Chain Model ◽  
Actual Performance ◽  
Girder Bridge ◽  
Inspection Data

At present, many road authorities in the world face challenges in condition monitoring diagnosis of distress and forecasting deterioration, strengthening and convalescence of aging bridge structures. The accurate prediction of the future condition is crucial for optimizing the maintenance activities. It is very tough to predict the actual performance scenario or actual in–situ structures without carrying out inspection. Limited availability of detailed inspection data is considered as one of the major drawbacks in developing deterioration models. In State Based Markov deterioration (SNMD) modelling, the main job is to estimate transition probability matrixes (TPMs). In this paper, Markov Chain Monte Carlo (MCMC) is used to estimate TPMs. In Markov Chain Model, future conditions depend on only present bridge inspection data. Multiple repair options are adopted in order to optimize life cycle cost. Repairs are needed when the critical chloride concentration exceeds 0.2. Three distinct types of cost corresponding to each repair option is considered. The objective of this paper is to minimize the life cycle cost considering appropriate repair timings of mixed repair methods. Variation of life cycle cost of five different concretes (stronger to weaker) using three different repair option is shown in this paper. For specific normalized condition of concrete’s failure probability (0.3) and specific type of concrete, variation of life cycle cost using multiple repair options is also shown in this paper.

Probabilistic modeling of sewer deterioration using inspection data

2008 ◽  
Vol 57 (10) ◽  
pp. 1635-1641 ◽  
Author(s):  
J. Dirksen ◽  
F. H. L. R. Clemens
Keyword(s):  
Visual Inspection ◽  
Surface Damage ◽  
Mechanical Action ◽  
Sewer System ◽  
Sewer Systems ◽  
Historical Databases ◽  
Inspection Data ◽  
Need For Rehabilitation ◽  
Sewer Inspection

Accurate prediction of current and future conditions of sewer systems is crucial to manage the sewer system wisely, cost-effectively and efficiently. The application of historical databases of visual inspection data to sewer deterioration modeling seems common sense. However, in The Netherlands, sewer inspection data is only used to determine the direct need for rehabilitation. This paper outlines the possibilities of using inspection data for deterioration modeling and discusses the problems encountered. A case study was performed on the modeling of the condition aspect ‘surface damage by corrosion or mechanical action’ using a Markov model.

scholarly journals ERROR SOURCES IN PROCCESSING LIDAR BASED BRIDGE INSPECTION

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 455-459
Author(s):  
H. Bian ◽  
S. E. Chen ◽  
W. Liu
Keyword(s):  
Quality Management ◽  
Data Processing ◽  
Data Quality ◽  
Visual Inspection ◽  
Inspection System ◽  
Bridge Inspection ◽  
Error Sources ◽  
Scanning Angle ◽  
Management Framework ◽  
Inspection Data

Bridge inspection is a critical task in infrastructure management and is facing unprecedented challenges after a series of bridge failures. The prevailing visual inspection was insufficient in providing reliable and quantitative bridge information although a systematic quality management framework was built to ensure visual bridge inspection data quality to minimize errors during the inspection process. The LiDAR based remote sensing is recommended as an effective tool in overcoming some of the disadvantages of visual inspection. In order to evaluate the potential of applying this technology in bridge inspection, some of the error sources in LiDAR based bridge inspection are analysed. The scanning angle variance in field data collection and the different algorithm design in scanning data processing are the found factors that will introduce errors into inspection results. Besides studying the errors sources, advanced considerations should be placed on improving the inspection data quality, and statistical analysis might be employed to evaluate inspection operation process that contains a series of uncertain factors in the future. Overall, the development of a reliable bridge inspection system requires not only the improvement of data processing algorithms, but also systematic considerations to mitigate possible errors in the entire inspection workflow. If LiDAR or some other technology can be accepted as a supplement for visual inspection, the current quality management framework will be modified or redesigned, and this would be as urgent as the refine of inspection techniques.

Integration of practical supplemental measurements into bridge condition visual inspection grading

2021 ◽  
Vol 16 (4) ◽  
pp. 139-153
Author(s):  
Nefize Shabana ◽  
Ozgur Avsar ◽  
Alp Caner
Keyword(s):  
Visual Inspection ◽  
Highway Bridges ◽  
Limited Information ◽  
End User ◽  
Visual Condition ◽  
Bridge Inspection ◽  
Concrete Degradation ◽  
The Difference ◽  
Inspection Data ◽  
Structural Engineers

The reliability of condition assessment of bridges obtained from analysis of visual inspection data is always a big concern among structural engineers. It has been known that the condition grading of a bridge is very subjective and can convey limited information to the end user. To finalize and verify the reported condition grading, inspectors and bridge owners have mainly been relying on images. It has been known that the image observation may not be sufficient to address all kinds of problems associated with visual condition grading. The integration of practical supplemental measurements into condition grading as proposed in this paper will contribute to minimize the errors in visual inspection. Measurement of vehicle induced vibrations through wireless accelerometers can be used to determine the natural frequencies of the bridge that can be reported at each inspection. The change in frequencies can be an indication of deterioration in stiffness of bridge over the years. Taking concrete samples by chipping at the inspection site and analyzing them under scanning electron microscope (SEM) at the laboratory can be used to identify the current problems with concrete degradation. In this scope, the regular bridge inspection procedure with the proposed enhancements has been performed on field inspection of highway bridges in Turkey to determine the practicality of the quick supplemental measurements and to analyze the difference in grading of the three different inspectors with different level of experiences.

Reassessment Issues in Life Cycle Structural Integrity Management of Fixed Steel Installations

2002 ◽  
Author(s):  
A. Stacey ◽  
M. Birkinshaw ◽  
J. V. Sharp
Keyword(s):  
Life Cycle ◽  
Structural Integrity ◽  
Offshore Structures ◽  
Iso Standard ◽  
Existing Structures ◽  
System Integrity ◽  
The Status ◽  
Important Trend ◽  
Integrity Management ◽  
Inspection Data

There is an increasing number of ageing installations in UK waters, many of which are being or will be operated beyond their original planned service life. This important trend, in combination with (a) the introduction of risk-based goal-setting regulations which require the maintenance of life cycle integrity as a key target, (b) the development of guidelines in the draft ISO standard for offshore structures, ISO 19902, and (c) significant technology advances in recent years (e.g. in loading, fatigue, fire and blast integrity and system integrity), makes reassessment an important consideration in the structural integrity management of offshore installations. The paper outlines procedures in place for reassessment, including those in the draft ISO standard, and reviews recent technical advances relevant to this area. The important role of inspection and maintenance for existing structures is assessed and related to both current practices and target requirements. The need for reliable and comprehensive inspection data is important for reassessment and the status of this is reviewed. An overall framework for reassessment is developed in the light of the above issues.

Sign in / Sign up

Export Citation Format

Share Document