Long-term condition evaluation for stay cable systems using dead load–induced cable forces

2019 ◽  
Vol 22 (7) ◽  
pp. 1644-1656 ◽  
Author(s):  
Yuan Ren ◽  
Xiang Xu ◽  
Qiao Huang ◽  
Dan-Yang Zhao ◽  
Juan Yang
Keyword(s):  
Relative Error ◽  
Evaluation Method ◽  
Maximum Relative Error ◽  
Stay Cable ◽  
Dead Load ◽  
Term Condition ◽  
Condition Evaluation ◽  
Cable Systems ◽  
Cable Forces

To ensure the safety of cable-stayed bridges, a long-term condition evaluation method has been proposed based on dead load–induced cable forces. To extract dead load–induced cable forces under random vehicle loadings, a novel approach is first developed by integrating influence lines with monitoring data. Then, based on the extracted dead load–induced cable forces, the evaluation algorithm for stay cable systems is presented. In the assessment algorithm, uniform and non-uniform characteristics are taken into account. Finally, the Third Nanjing Yangtze River Bridge, a typical large span cable-stayed bridge, is used to illustrate the effectiveness of the proposed methodology. As a result, the maximum relative error in extraction of dead load–induced cable forces accounts for 4.78% within the studied five stay cables. The precision of the extraction method is acceptable for practical applications since the relative error is less than 5%. Moreover, the bridge is continuously assessed using the dead load–induced cable forces for 5 years. Eliminating the influence of vehicle loadings, the condition of the bridge gradually degrades with time but still remains in good condition. The study not only provides a long-term condition evaluation method for stay cable systems but a dead load–induced extraction approach under random vehicle loadings, which will help bridge owners know well the condition of bridges to make appropriate maintenance decisions.

Stay cable forces under dead load for cable-stayed and extradosed bridges

2013 ◽  
Vol 101 (13) ◽  
pp. 1-8
Author(s):  
El Araby El Shenawy ◽  
Mike Schlaich
Keyword(s):  
Stay Cable ◽  
Dead Load ◽  
Cable Forces

fib Bulletin 30. Acceptance of stay cable systems using prestressing steels

2005 ◽  
Author(s):  
Dieter Jungwirth ◽  
György L. Balázs ◽  
Pierre Boitel ◽  
Yves Bournand ◽  
Pietro Brenni ◽  
...  
Keyword(s):  
Stay Cable ◽  
Cable Systems

Error-aware Design Procedure to Implement Energy-efficient Approximate Squaring Hardware

2020 ◽  
Vol 10 (4) ◽  
pp. 471-477
Author(s):  
Merin Loukrakpam ◽  
Ch. Lison Singh ◽  
Madhuchhanda Choudhury
Keyword(s):  
Energy Saving ◽  
Relative Error ◽  
Energy Efficient ◽  
Piecewise Linear ◽  
Arithmetic Operation ◽  
Design Procedure ◽  
Digital Signal ◽  
Maximum Relative Error ◽  
Square Function ◽  
Efficient Design

Background:: In recent years, there has been a high demand for executing digital signal processing and machine learning applications on energy-constrained devices. Squaring is a vital arithmetic operation used in such applications. Hence, improving the energy efficiency of squaring is crucial. Objective:: In this paper, a novel approximation method based on piecewise linear segmentation of the square function is proposed. Methods: Two-segment, four-segment and eight-segment accurate and energy-efficient 32-bit approximate designs for squaring were implemented using this method. The proposed 2-segment approximate squaring hardware showed 12.5% maximum relative error and delivered up to 55.6% energy saving when compared with state-of-the-art approximate multipliers used for squaring. Results: The proposed 4-segment hardware achieved a maximum relative error of 3.13% with up to 46.5% energy saving. Conclusion:: The proposed 8-segment design emerged as the most accurate squaring hardware with a maximum relative error of 0.78%. The comparison also revealed that the 8-segment design is the most efficient design in terms of error-area-delay-power product.

scholarly journals A Multi-Attribute Decision Method under Uncertainty Environment Conditions—The Green Supplier Evaluation Perspective

2021 ◽  
Vol 18 (1) ◽  
pp. 344
Author(s):  
Hao Xu ◽  
Liuxin Chen ◽  
Qiongfang Li ◽  
Jianchao Yang
Keyword(s):  
Environmental Pollution ◽  
Evaluation Method ◽  
External Environment ◽  
Environmental Indicators ◽  
Supplier Evaluation ◽  
Uncertain Environment ◽  
Green Suppliers ◽  
Uncertainty Environment ◽  
Selection Of

Due to the continuous changes of political environment, consumption habits, technological progress and other factors, the external environment of enterprises is full of uncertainty. The turbulence of external environment is not conducive to the long-term operation and development of enterprises, but also brings great challenges to the selection of suppliers. This makes the competition of enterprises focus on how to choose long-term cooperation suppliers in the uncertain external environment. In addition, due to the deterioration of the global environment, governments pay more and more attention to environmental pollution, and consumers are more and more inclined to green consumption, which makes many companies pay more and more attention to environmental indicators when selecting suppliers. In the case of external environment turbulence and serious environmental pollution, the evaluation and selection of green suppliers in uncertain environment is particularly important for the long-term development of enterprises. What’s more, when the supplier’s capability gap is small, the decision-maker often hesitates among several suppliers. In this paper, the hesitant fuzzy is used to describe the hesitant psychology of decision-makers in selecting suppliers, the variance fluctuation is used to describe the characteristics of hesitant fuzzy numbers, and the probability is used to measure the uncertainty of the environment. A green supplier evaluation model under the uncertainty environment is proposed, which comprehensively evaluates the green suppliers under the uncertain environment. Furthermore, it is compared with other methods that do not consider the uncertainty and the adaptability of evaluation method and right confirmation method, so as to reflect the influence of uncertainty to green supplier evaluation and the importance of adaptability of evaluation method and right confirmation method.

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.

Theoretical Study on Bridge Structure Condition Evaluation Based on Health Monitoring Data

2014 ◽  
Vol 599-601 ◽  
pp. 751-754
Author(s):  
Zhao Lan Wei ◽  
Rui Yu ◽  
Chu Yun Cheng
Keyword(s):  
Evaluation Method ◽  
Monitoring Data ◽  
Evaluation Theory ◽  
Interval Numbers ◽  
Subjective Weight ◽  
Condition Evaluation ◽  
Interval Extension ◽  
Index Variation ◽  
Confidence Degree ◽  
Grade Division

After processed the signals obtained from monitoring system, one theory of condition evaluation was proposed on basis of a new evaluation parameter—index variation. One new condition grade division method was proposed from approximate statistic distribution of index variation, and as per the concept of confidence degree and confidence interval. Because the monitoring data and the standard of condition grade division were all interval numbers, interval extension evaluation theory was adopted to establish the model of condition evaluation. Set-Valued Statistics and gravity center based decision theory were introduced to divide weight into subjective weight and objective weight to make calculation. This evaluation method was found to be reasonable and had good project practicability.

A Meshless Local Petrov-Garlerkin Method for Solving the Biharmonic Equation

2014 ◽  
Vol 931-932 ◽  
pp. 1488-1494
Author(s):  
Supanut Kaewumpai ◽  
Suwon Tangmanee ◽  
Anirut Luadsong
Keyword(s):  
Relative Error ◽  
Biharmonic Equation ◽  
Interpolation Method ◽  
Step Function ◽  
Special Treatment ◽  
Maximum Relative Error ◽  
Heaviside Step Function ◽  
Treatment Techniques ◽  
Point Interpolation Method ◽  
Point Interpolation

A meshless local Petrov-Galerkin method (MLPG) using Heaviside step function as a test function for solving the biharmonic equation with subjected to boundary of the second kind is presented in this paper. Nodal shape function is constructed by the radial point interpolation method (RPIM) which holds the Kroneckers delta property. Two-field variables local weak forms are used in order to decompose the biharmonic equation into a couple of Poisson equations as well as impose straightforward boundary of the second kind, and no special treatment techniques are required. Selected engineering numerical examples using conventional nodal arrangement as well as polynomial basis choices are considered to demonstrate the applicability, the easiness, and the accuracy of the proposed method. This robust method gives quite accurate numerical results, implementing by maximum relative error and root mean square relative error.

Analysis of Performance Evaluation Index for bridge group networking monitoring and collaborative supervision

2021 ◽  
Author(s):  
Liye Zhang ◽  
Yong He ◽  
Shoushan Cheng ◽  
Guoliang Wang ◽  
Hongwei Ren ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Evaluation Method ◽  
Field Testing ◽  
Technical Condition ◽  
Evaluation Index ◽  
Technical Problems ◽  
Condition Evaluation ◽  
Bridge Group ◽  
Performance Evaluation Index ◽  
And Performance

<p>With the number of bridges increases, the bridge health monitoring (BHM) technique is developing from single bridge monitoring to collaborative supervision of bridge group. Therefore, there are many technical problems need to be solved especially the performance evaluation index for bridge group network. This paper analyses the performance evaluation index of the bridges and bridge group network, establishes the performance evaluation index for bridge group based on rating factor (RF) and technical condition evaluation index. Based on bridge field testing and monitoring data, bridge technical condition evaluation index and performance evaluation method for bridge group are proposed. A case study demonstrates that the research results provide support for bridge group networking monitoring and collaborative supervision.</p>

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