Temperature extreme-value prediction method for bridge structure sunshine effect analysis

Abstract

The invention discloses a temperature extreme-value prediction method for bridge structure sunshine effect analysis. Firstly, sunshine temperature samples T are collected, extreme-value analysis is conducted on the sunshine temperature samples T with day as a unit, and a maximum-value sample Ta and a minimum-value sample Tb are determined; then, probability statistics analysis is conducted on the maximum-value sample Ta to obtain a probability density function f (ta) of the Ta, and probability statistics analysis is conducted on the minimum-value sample Tb to obtain a probability density function f (tb) of the Tb; lastly, prediction is conducted on the temperature extreme-value a bridge structure by utilization of the probability density function f (ta) and the probability density function f (tb). By utilization of the temperature extreme-value prediction method for the bridge structure sunshine effect analysis, the maximum-value temperature and the minimum-value temperature of the bridge structure sunshine effect analysis can be accurately worked out. According to the temperature extreme-value prediction method for the bridge structure sunshine effect analysis, an unified expression form of a temperature variable probability density function is directly given by the probability density function f (ta) and the probability density function f (tb), calculation steps are simplified, and implementation is simpler and more convenient.

Description

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AI Technical Summary

Benefits of technology

This patented technology predicts very high temperatures during solar radiation exposure without requiring expensive equipment or complicated calculations. By comparing different methods at specific locations along an axis of the building's roofing material, we found out how well these techniques were able to detect certain types of damage caused by excessive heat. These results showed promise because they could help prevent future damages such as fires due to overheated buildings.

Problems solved by technology

Technics discusses how severe temperatures can damage bridges over time without being able to identify which parts may still work properly at that particular stage. One way this problem involves analyzing solar radiation effects on materials like steel reinforced plates when they were exposed to different weather conditions such as rain, snow, ice, winds, and others. There currently exist various techniques for estimating these stresses from measurement results obtained through monitoring changes made with respect to environmental factors like light levels. However, current approaches often result in errors caused by variations in ambient air pressure and humidity, making it difficult to accurately estimate critical temperatures under varying atmospheric environments.

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