Calculation Model for Crack Width of Smart Film Based on Shear-Lag Theory

2011 ◽  
Vol 255-260 ◽  
pp. 365-368
Author(s):  
Yong Xu ◽  
Zhi Xiang Zhou ◽  
Ben Niu Zhang
Keyword(s):  
Health Monitoring ◽  
Crack Width ◽  
Calculation Model ◽  
Concrete Bridges ◽  
Concrete Bridge ◽  
Shear Lag ◽  
Model Study ◽  
Theory Calculation ◽  
The Relationship ◽  
Shear Lag Theory

Detection of crack width is crucial in structural health monitoring of concrete bridge. In this paper, the smart film has been employed to monitor the crack initiation and development in concrete bridges. Under plane stress and two dimension conditions, through structure mechanics behavior analysis, the calculation model for crack width of smart film was constructed based on the shear-lag theory. Calculation model study demonstrated the relationship between crack width and diameter of the smart film, and the crack width could be calculated.

An Improved Design Based on Smart Film for Monitoring Crack Width of Concrete Bridges

2011 ◽  
Vol 308-310 ◽  
pp. 2478-2481
Author(s):  
Xing Xing Li ◽  
Ben Niu Zhang ◽  
Zhi Xiang Zhou ◽  
Lian Tang
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Crack Width ◽  
Large Scale ◽  
Concrete Bridges ◽  
Challenging Problem ◽  
Structural Health ◽  
Crack Monitoring ◽  
Improved Design

Structural health monitoring is a promising way for evaluating the integrity and safety of large-scale bridges, and crack monitoring is thought to be a challenging problem in this field. An improved design based on smart film for monitoring crack width of concrete bridges is proposed in this paper. Experiments are also implemented to verify the effectiveness of this design.

Delay Prediction of Aircrafts Based on Health Monitoring Data

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
B. A. Dattaram ◽  
N. Madhusudanan
Keyword(s):  
Machine Learning ◽  
Health Monitoring ◽  
Monitoring Data ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Flight Delay ◽  
Delay Prediction ◽  
The Relationship

Flight delay is a major issue faced by airline companies. Delay in the aircraft take off can lead to penalty and extra payment to airport authorities leading to revenue loss. The causes for delays can be weather, traffic queues or component issues. In this paper, we focus on the problem of delays due to component issues in the aircraft. In particular, this paper explores the analysis of aircraft delays based on health monitoring data from the aircraft. This paper analyzes and establishes the relationship between health monitoring data and the delay of the aircrafts using exploratory analytics, stochastic approaches and machine learning techniques.

Selection of Materials and Sensors for Health Monitoring of Composite Structures

2003 ◽  
Vol 785 ◽  
Author(s):  
Seth S. Kessler ◽  
S. Mark Spearing
Keyword(s):  
Health Monitoring ◽  
Lamb Wave ◽  
Composite Structures ◽  
Structural Damage ◽  
Performance Metrics ◽  
Full Range ◽  
Transportation Systems ◽  
Health Monitoring Systems ◽  
The Relationship ◽  
Selection Of

ABSTRACTEmbedded structural health monitoring systems are envisioned to be an important component of future transportation systems. One of the key challenges in designing an SHM system is the choice of sensors, and a sensor layout, which can detect unambiguously relevant structural damage. This paper focuses on the relationship between sensors, the materials of which they are made, and their ability to detect structural damage. Sensor selection maps have been produced which plot the capabilities of the full range of available sensor types vs. the key performance metrics (power consumption, resolution, range, sensor size, coverage). This exercise resulted in the identification of piezoceramic Lamb wave transducers as the sensor of choice. Experimental results are presented for the detailed selection of piezoceramic materials to be used as Lamb wave transducers.

scholarly journals Influence of Selected Model Parameters on the Electromagnetic Levitation Melting Efficiency

2021 ◽  
Vol 11 (9) ◽  
pp. 3827
Author(s):  
Blazej Nycz ◽  
Lukasz Malinski ◽  
Roman Przylucki
Keyword(s):  
Electromagnetic Levitation ◽  
Optimization Methods ◽  
Calculation Model ◽  
Model Parameters ◽  
Starting Point ◽  
Low Efficiency ◽  
The Relationship ◽  
Reactive Metals ◽  
Electromagnetic Levitation Melting ◽  
Metal Melting

The article presents the results of multivariate calculations for the levitation metal melting system. The research had two main goals. The first goal of the multivariate calculations was to find the relationship between the basic electrical and geometric parameters of the selected calculation model and the maximum electromagnetic buoyancy force and the maximum power dissipated in the charge. The second goal was to find quasi-optimal conditions for levitation. The choice of the model with the highest melting efficiency is very important because electromagnetic levitation is essentially a low-efficiency process. Despite the low efficiency of this method, it is worth dealing with it because is one of the few methods that allow melting and obtaining alloys of refractory reactive metals. The research was limited to the analysis of the electromagnetic field modeled three-dimensionally. From among of 245 variants considered in the article, the most promising one was selected characterized by the highest efficiency. This variant will be a starting point for further work with the use of optimization methods.

scholarly journals Performance updating of concrete bridges using proactive health monitoring methods

2004 ◽  
Vol 86 (3) ◽  
pp. 247-256 ◽  
Author(s):  
M.Imran Rafiq ◽  
Marios K. Chryssanthopoulos ◽  
Toula Onoufriou
Keyword(s):  
Health Monitoring ◽  
Concrete Bridges ◽  
Monitoring Methods

Research in Destruction of Concrete Bridge Expanded Joint Influenced by Temperature Difference

2015 ◽  
Vol 744-746 ◽  
pp. 803-806 ◽  
Author(s):  
Xiao Lei ◽  
Yue Yao ◽  
Shi Cao ◽  
Zhi Gang Guo
Keyword(s):  
Temperature Difference ◽  
Curve Fitting ◽  
Effective Temperature ◽  
Joint Damage ◽  
Measured Data ◽  
Concrete Bridge ◽  
Box Girder ◽  
Concrete Box Girder ◽  
Extremum Value ◽  
The Relationship

Destruction of bridge expanded joint is a serious problem for concrete bridge. Based on 5 years measured data, the temperature in the different positions of the concrete box girder was systemically analyzed to illuminate the cause of the bridge expanded joint damage. A method for predicting the extremum value of the temperature difference of concrete girder was proposed by use of the extrema analysis and curve fitting based on the temperature in the different positions of the concrete box girder. The relationship is quite useful in estimating the destruction of bridge expanded joint by effective temperature difference in concrete box-girder.

Research on the hydrographic survey cycle for updating navigational charts

2021 ◽  
pp. 1-13
Author(s):  
Jing Duan ◽  
Xiaoxia Wan ◽  
Jianan Luo
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Calculation Model ◽  
Impact Factors ◽  
Factors Affecting ◽  
Material Resources ◽  
Hydrographic Survey ◽  
Survey Planning ◽  
The Impact ◽  
The Relationship

Abstract Due to the vast ocean area and limited human and material resources, hydrographic survey must be carried out in a selective and well-planned way. Therefore, scientific planning of hydrographic surveys to ensure the effectiveness of navigational charts has become an urgent issue to be addressed by the hydrographic office of each coastal state. In this study, a reasonable calculation model of hydrographic survey cycle is established, which can be used to make the plan of navigational chart updating. The paper takes 493 navigational charts of Chinese coastal ports and fairways as the research object, analyses the fundamental factors affecting the hydrographic survey cycle and gives them weights, proposes to use the BP neural network to construct the relationship between the cycle and the impact factors, and finally establishes a calculation model of the hydrographic survey cycle. It has been verified that the calculation cycle of the model is effective, and it can provide reference for hydrographic survey planning and chart updating, as well as suggestions for navigation safety.

Model Study of New Standard Prestressed Concrete Bridge

1976 ◽  
Vol 102 (9) ◽  
pp. 1789-1806
Author(s):  
Barrington deV. Batchelor ◽  
Paul Csagoly ◽  
Douglas W. McEwen ◽  
T. Ivan Campbell
Keyword(s):  
Prestressed Concrete ◽  
Concrete Bridge ◽  
Model Study ◽  
Prestressed Concrete Bridge

Assessment and identification of concrete box-girder bridges

2019 ◽  
Author(s):  
Edward A. Baron
Keyword(s):  
Neural Network ◽  
Health Monitoring ◽  
Concrete Bridge ◽  
Fe Model ◽  
Box Girder Bridges ◽  
Box Girder ◽  
Damage Scenarios ◽  
Girder Bridges ◽  
Concrete Box Girder Bridges ◽  
Girder Bridge

<p>This work consists in identify and assess the properties related to material, geometry and physic sources, in a pre-stressed concrete bridge through a surrogate model. The use of this mathematical model allows to generate a relationship between bridge properties and its dynamic response, with the purpose to develop a tool to predict the analytical values of the studied properties from measured eigenfrequencies. Therefore, it is introduced the identification of damage scenarios, giving the application for validate the generated metamodel (Artificial Neural Network). A FE model is developed to simulate the studied structure, a Colombian bridge called "El Tablazo", one of the higher in the country of this type (box-girder bridge). Once the damage scenarios are defined, this work allows to indicate the basis for futures plans of structural health monitoring.</p>

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