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Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients

Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients

Published on: May 17, 2020

Bridge condition assessment using D numbers.

Xinyang Deng¹, Yong Hu², Yong Deng³

¹School of Computer and Information Science, Southwest University, Chongqing 400715, China.

Thescientificworldjournal

|April 4, 2014

Summary

This summary is machine-generated.

This study introduces D numbers, a novel method for representing uncertain information in bridge condition assessment. This approach simplifies and enhances the accuracy of evaluating bridge health under uncertain environmental conditions.

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Area of Science:

Civil Engineering
Structural Health Monitoring
Uncertainty Quantification

Background:

Bridge condition assessment is complex due to multiple factors and environmental uncertainty.
Existing methods for handling uncertain information in assessments have limitations.
Accurate representation of assessment results is crucial for effective bridge management.

Purpose of the Study:

To present a new representation for uncertain information called D numbers.
To develop a novel method for bridge condition assessment using D numbers.
To demonstrate the advantages of the D numbers method over existing approaches.

Main Methods:

The study extends the Dempster-Shafer theory to introduce D numbers.
A new bridge condition assessment methodology is developed based on D numbers.
An illustrative case study is employed to validate the proposed method.

Main Results:

The proposed D numbers method offers a simpler and more effective way to represent uncertain information.
The developed assessment method demonstrates improved performance compared to existing techniques.
The case study validates the practical applicability and effectiveness of the D numbers approach.

Conclusions:

D numbers provide a powerful tool for handling uncertainty in bridge condition assessment.
The new assessment method is more effective and simpler than current alternatives.
The findings contribute to more reliable and efficient bridge structural health monitoring.