Abstract

Non-destructive testing (NDT) methods are typically utilized to thoroughly inspect existing defects in the concrete bridge deck and tackle the limitations of common inspection practices (e.g. visual inspection). Nevertheless, the reliability of inspection outcomes crucially depends on choosing the most appropriate NDT technologies. In this regard, a comprehensive Performance Assessment Model (PAM) was developed. The developed model incorporated 40 parameters to precisely assess the performance of different NDT technologies from diverse perspectives (e.g. defect detection capability, ease of use, speed, and cost). The required data were collected through a survey questionnaire. The model utilized the Analytic Network Process (ANP) technique to calculate the importance weight of each parameter, whereas the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was exploited to compute the performance index (PI) of NDT technologies. The outcomes of this study clearly illustrate the disparity in the performance of different NDT technologies. Furthermore, it was shown that none of these technologies could either exhibit the best performance in all the proposed parameters or efficiently identify all types of defects. Based on the PAM results, a selection model was proposed to assist bridge authorities and consultants in choosing the most efficient NDT technologies for inspection purposes.

摘要

无损检测 (NDT) 方法通常用于彻底检查混凝土桥面板中的现有缺陷并解决常见检查实践（例如目视检查）的局限性。然而，检查结果的可靠性关键取决于选择最合适的 NDT 技术。在这方面，开发了一个全面的绩效评估模型（PAM）。开发的模型包含 40 个参数，从不同的角度（例如缺陷检测能力、易用性、速度和成本）精确评估不同 NDT 技术的性能。通过调查问卷收集所需的数据。该模型利用分析网络过程（ANP）技术来计算每个参数的重要性权重，而利用与理想解决方案相似度排序偏好技术（TOPSIS）来计算无损检测技术的性能指数（PI）。这项研究的结果清楚地说明了不同 NDT 技术的性能差异。此外，结果表明，这些技术都不能在所有建议的参数中表现出最佳性能，也不能有效地识别所有类型的缺陷。根据 PAM 结果，提出了一个选择模型，以帮助桥梁当局和顾问选择最有效的 NDT 技术进行检查。结果表明，这些技术都不能在所有建议的参数中表现出最佳性能，也不能有效地识别所有类型的缺陷。根据 PAM 结果，提出了一个选择模型，以帮助桥梁当局和顾问选择最有效的 NDT 技术进行检查。结果表明，这些技术都不能在所有建议的参数中表现出最佳性能，也不能有效地识别所有类型的缺陷。根据 PAM 结果，提出了一个选择模型，以帮助桥梁当局和顾问选择最有效的 NDT 技术进行检查。