HARNESSING PIEZOELECTRIC ENERGY FOR A SUSTAINABLE LIGHT SOURCE IN BRIDGE DESIGN

Abstract

This study explores the importance of bridges as critical infrastructure that connects distant regions and facilitates vehicular movement. Bridges play a vital role in transportation systems, making it essential to pay special attention to their lighting. Proper illumination of both pedestrian walkways and vehicular driveways is crucial for ensuring safety and preventing accidents, particularly during nighttime or low-visibility conditions. This study employed a purposive sampling technique to collect relevant data from selected respondents. Individual case studies demonstrate the adaptability and effectiveness of purposive sampling across various research contexts. A survey questionnaire served as the primary research instrument to assess the level of acceptability related to the study's focus. To determine whether there was a significant difference between the assessments of the two respondent groups, a t-test was conducted. The investigation yielded an overall mean of 2.817, a variance of 0.036, an alpha level of 0.05, a t-critical value of 1.967, and a t-computed value of 0.747. In comparison, the derma group obtained an overall mean of 2.525, a variance of 0.281, with the same alpha level (0.05), t-critical (1.967), and t-computed value (0.747). Since the t-computed value is less than the t-critical value, the null hypothesis is accepted. Therefore, the results indicate that there is no significant difference between the assessments of the two respondent groups. In conclusion, the study found that the Piezoelectric Bridge Model was deemed acceptable by both Electrical and Civil Engineers in terms of methodology, durability, functionality, quality, and presentation. The results showed no significant difference in the assessments between the two groups of respondents. To ensure the continued effectiveness and refinement of the model, suggestions were gathered from the participants. The researchers also successfully addressed challenges encountered during the study and incorporated feedback from the engineers to guide future improvements to the design and implementation of the model.