scholarly journals Long term condition monitoring of tapestries using image correlation

2012 ◽  
pp. 331-338
Author(s):  
J. M. Dulieu-Barton ◽  
D. Khennouf ◽  
A. R. Chambers ◽  
F. J. Lennard ◽  
D. D Eastop
Keyword(s):  
Condition Monitoring ◽  
Image Correlation ◽  
Term Condition

scholarly journals Magnetostrictive cold spray sensor for harsh environment and long-term condition monitoring

2019 ◽  
Author(s):  
S. W. Glass ◽  
J. P. Lareau ◽  
K. S. Ross ◽  
S. Ali ◽  
F. Hernandez ◽  
...  
Keyword(s):  
Cold Spray ◽  
Condition Monitoring ◽  
Harsh Environment ◽  
Term Condition

scholarly journals Time domain reflectometry (TDR) potential for soil condition monitoring of geotechnical assets

2019 ◽  
Vol 56 (7) ◽  
pp. 942-955 ◽  
Author(s):  
Giulio Curioni ◽  
David N. Chapman ◽  
Alexander C.D. Royal ◽  
Nicole Metje ◽  
Ben Dashwood ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Time Domain ◽  
Early Warning ◽  
Warning System ◽  
Early Warning Systems ◽  
Time Domain Reflectometry ◽  
Soil Conditions ◽  
Dry Density ◽  
Term Condition

The performance of geotechnical assets is influenced by various external factors including time and changing loading and environmental conditions. These changes could reduce the asset’s ability to maintain its function, potentially resulting in failure, which could be extremely disruptive and expensive to remediate; thus, the ability to monitor the long-term condition of the ground is clearly desirable as this could function as an early-warning system, permitting intervention prior to failure. This study demonstrates, for the first time, the potential of using time domain reflectometry (TDR) for long-term monitoring of the relative health of an asset (via water content and dry density) in a field trial where a clayey sandy silt was exposed to leaking water from a pipe. TDR sensors were able to provide detailed information on the variation in the soil conditions and detect abrupt changes that would relay a prompt for asset inspections or interventions. It is proposed that TDR could be used alone or together with other shallow geophysical techniques for long-term condition monitoring of critical geotechnical assets. Early-warning systems could be based on thresholds defined from the values or the relative change of the measured parameters.

scholarly journals Health of mothers of children with a life-limiting condition: a comparative cohort study

2021 ◽  
pp. archdischild-2020-320655
Author(s):  
Lorna K Fraser ◽  
Fliss EM Murtagh ◽  
Jan Aldridge ◽  
Trevor Sheldon ◽  
Simon Gilbody ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Secondary Care ◽  
Incidence Rates ◽  
Health Conditions ◽  
Clinical Practice Research Datalink ◽  
Physical And Mental Health ◽  
Term Condition ◽  
Limiting Condition

ObjectiveThis study aimed to quantify the incidence rates of common mental and physical health conditions in mothers of children with a life-limiting condition.MethodsComparative national longitudinal cohort study using linked primary and secondary care data from the Clinical Practice Research Datalink in England. Maternal–child dyads were identified in these data. Maternal physical and mental health outcomes were identified in the primary and secondary care datasets using previously developed diagnostic coding frameworks. Incidence rates of the outcomes were modelled using Poisson regression, adjusting for deprivation, ethnicity and age and accounting for time at risk.ResultsA total of 35 683 mothers; 8950 had a child with a life-limiting condition, 8868 had a child with a chronic condition and 17 865 had a child with no long-term condition.The adjusted incidence rates of all of the physical and mental health conditions were significantly higher in the mothers of children with a life-limiting condition when compared with those mothers with a child with no long-term condition (eg, depression: incidence rate ratio (IRR) 1.21, 95% CI 1.13 to 1.30; cardiovascular disease: IRR 1.73, 95% CI 1.27 to 2.36; death in mothers: IRR 1.59, 95% CI 1.16 to 2.18).ConclusionThis study clearly demonstrates the higher incidence rates of common and serious physical and mental health problems and death in mothers of children with a life-limiting condition. Further research is required to understand how best to support these mothers, but healthcare providers should consider how they can target this population to provide preventative and treatment services.

Cancer as a long-term condition: How practice nurses can help

2016 ◽  
Vol 27 (5) ◽  
pp. 250-251
Author(s):  
Clare Donaldson
Keyword(s):  
Practice Nurses ◽  
Term Condition

Comparison of femur strain under different loading scenarios: Experimental testing

2020 ◽  
Vol 235 (1) ◽  
pp. 17-27
Author(s):  
Ievgen Levadnyi ◽  
Jan Awrejcewicz ◽  
Yan Zhang ◽  
Yaodong Gu
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Strain Distribution ◽  
Element Model ◽  
Surface Strain ◽  
Image Correlation ◽  
Loading Conditions ◽  
Bone Implant ◽  
Bone Stiffness

Bone fracture, formation and adaptation are related to mechanical strains in bone. Assessing bone stiffness and strain distribution under different loading conditions may help predict diseases and improve surgical results by determining the best conditions for long-term functioning of bone-implant systems. In this study, an experimentally wide range of loading conditions (56) was used to cover the directional range spanned by the hip joint force. Loads for different stance configurations were applied to composite femurs and assessed in a material testing machine. The experimental analysis provides a better understanding of the influence of the bone inclination angle in the frontal and sagittal planes on strain distribution and stiffness. The results show that the surface strain magnitude and stiffness vary significantly under different loading conditions. For the axial compression, maximal bending is observed at the mid-shaft, and bone stiffness is also maximal. The increased inclination leads to decreased stiffness and increased magnitude of maximum strain at the distal end of the femur. For comparative analysis of results, a three-dimensional, finite element model of the femur was used. To validate the finite element model, strain gauges and digital image correlation system were employed. During validation of the model, regression analysis indicated robust agreement between the measured and predicted strains, with high correlation coefficient and low root-mean-square error of the estimate. The results of stiffnesses obtained from multi-loading conditions experiments were qualitatively compared with results obtained from a finite element analysis of the validated model of femur with the same multi-loading conditions. When the obtained numerical results are qualitatively compared with experimental ones, similarities can be noted. The developed finite element model of femur may be used as a promising tool to estimate proximal femur strength and identify the best conditions for long-term functioning of the bone-implant system in future study.

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