Reliability and Risk Analysis in Engineering and Medicine

Putcha, Chandrasekhar; Dutta, Subhrajit; Gupta, S. K.

doi:10.1007/978-3-030-80454-1

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A detailed review of the recent advances in reliability analysis is provided in the literature (Li et al. , 2021; Putcha et al. , 2021).…”

Section: Methodology For Reliability-based Design Of Tmsmentioning

confidence: 99%

“…However, the recently developed technique like surrogate modeling, hybrid MCS coupled with artificial intelligence, deep learning regression-based stratified probabilistic combined cycle fatigue damage evaluation is likely to obtain significantly accurate solutions to non-linear problems (Li et al, 2022a, b, c). A detailed review of the recent advances in reliability analysis is provided in the literature (Li et al, 2021;Putcha et al, 2021).…”

Section: Reliability Index For Tmsmentioning

confidence: 99%

See 1 more Smart Citation

On computation of reliability index for tensile membrane structures based on limit state of deflection

Rana

Dutta²,

Maiti³

et al. 2022

IJSI

Self Cite

View full text Add to dashboard Cite

PurposeThe present study is based on finding the structural response of a tensile membrane structure (TMS) through deformation. The intention of the present research is to develop a basic understanding of reliability analysis and deflection behavior of a pre-tensioned TMS. The mean value first-order second-moment method (MVFOSM) method is used here to evaluate stochastic moments of a performance function with random input variables. Results suggest the influence of modulus of elasticity, the thickness of the membrane, and edge span length are significant for reliability based TMS design.Design/methodology/approachA simple TMS is designed and simulated by applying external forces (along with prestress), as a manifestation of wind and snow load. A nonlinear analysis is executed to evaluate TMS deflection, followed by calculating the reliability index. Parametric study is done to consider the effect of membrane material, thickness and load location. First-order second moment (FOSM) is used to evaluative the reliability. A comparison of reliability index is done and deflection variations from μ − 3s to μ + 3s are accounted for in this approach.FindingsThe effectiveness of deflection is highlighted for the reliability assessment of TMS. Reliability and parametric study collectively examine the proposed geometry and material to facilitate infield design requirements. The estimated β value indicates that most suitable fabric material for a simple TMS should possess an elasticity modulus in the range of 1,000–1,500 MPa, the thickness may be considered to be around 1.00 mm, and additional adjustment of around 5–10 mm is suggested for edge length. The loading position in case of TMS structures can be a sensitive aspect where the rigidity of the surface is dependent on the pre-tensioning of the membrane.Research limitations/implicationsThe significance of the parametric study on material and loading for deflection of TMS is emphasized. Due to the lack of consolidated literature in the field combining reliability with deflection limits of a TMS, this work can be very useful for researchers.Practical implicationsThe present work outcome may facilitate practitioners in determining effective design methodology and material selection for TMS construction.Originality/valueThe significance of parametric study for serviceability criteria is emphasized. Parameters like pre-stress can be included in future parametric studies to witness in depth behavior of TMS. Due to lack of consolidated literature in the field combining reliability with deflection limits of a TMS, this work can be very useful for the researchers. The present work outcome may facilitate practitioners in determining effective design methodology and material selection for TMS construction.

show abstract

“…A detailed review of the recent advances in reliability analysis is provided in the literature (Li et al. , 2021; Putcha et al. , 2021).…”

Section: Methodology For Reliability-based Design Of Tmsmentioning

confidence: 99%

Section: Reliability Index For Tmsmentioning

confidence: 99%

On computation of reliability index for tensile membrane structures based on limit state of deflection

Rana

Dutta²,

Maiti³

et al. 2022

IJSI

Self Cite

View full text Add to dashboard Cite

show abstract

“…A system is a collection of components, the system reliability depends on the type or number of components, the reliability of components, and also how they are connected [31].…”

Section: Definition and Objectives Of Reliabilitymentioning

confidence: 99%

Reliability Enhancement Driven by ANN for Lighting Control System in Highway Tunnels

Zeng³

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

Compared with open roadways, traffic safety in highway tunnels requires more attention to build smoothly transitioned and well-coupled light environments for drivers to alleviate visual discomfort so as to achieve a balanced sense of driving safety and comfort. In this study, in order to overcome the drawbacks of existing tunnel lighting control modes that disregard the color temperature of natural light characteristics and collaborative influence of color temperature and luminance of natural light on tunnel lighting quality, one artificial neural network (ANN) model is designed and trained to simulate one physical lighting control system that takes into consideration color temperature and luminance simultaneously. In this model, multiple parameters of discrete and continuous types of input layer and output layer are synergistically analyzed. The model was also trained with quantities of field data from one tunnel in service and includes one hidden layer with 10 neurons. The simulation results showed that this model obtains a high degree of fitness with inside luminance and 100% recognition rate with inside color temperature in the threshold zone, which conforms to the regulation strategy of actual lighting control systems with high confidence. The proposed model will greatly enhance the reliability and sustainability of the lighting system during its normal operation, which can also support other lighting scenarios due to its flexibility and scalability with multiple-input and multiple-output (MIMO) capabilities.

show abstract

Reliability Performance Improvement of the Storage System by Using Weibull and Linear-Exponential Distributions

Mutar

2024

J. Adv. Manuf. Syst.

View full text Add to dashboard Cite

This research paper delves into the theory of reliability and its applications in various fields, particularly in engineering manufacturing. The study aims to address the problem of enhancing the reliability and performance of storage systems by incorporating two types of components with different distributions. These components are assumed to be identical, but their failure rates vary over time. Type (a) components follow a Weibull distribution, while type (b) components have a Linear-exponential distribution. The research examines different characteristics of the system, including the mean time to failure (MTTF), [Formula: see text]-fractiles, and equivalence factor of reliability (EFR). To improve the storage system’s performance, the reduction, warm duplication and cold duplication techniques are implemented. Further, the cold duplication approach outperforms warm duplication and reduction methods. Before the improvement, the original system generally showed the lowest level of reliability. The results indicate that these techniques are effective, and the study provides numerical data to support this finding.

show abstract

Reliability and Risk Analysis in Engineering and Medicine

Cited by 3 publications

References 0 publications

On computation of reliability index for tensile membrane structures based on limit state of deflection

On computation of reliability index for tensile membrane structures based on limit state of deflection

Reliability Enhancement Driven by ANN for Lighting Control System in Highway Tunnels

Reliability Performance Improvement of the Storage System by Using Weibull and Linear-Exponential Distributions

Contact Info

Product

Resources

About