The IRRADIA research project for the advanced management of infrastructures

Alberto Brajon , Eleonora Cesolini , Davide Bernardini , Franco Ciminelli , Egidio Lofrano , Achille Paolone
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Abstract

AISICO and ‘Sapienza’ University of Rome are working on the project IRRADIA, a research program aiming to investigate the use of Artificial Intelligence for the structural assessment of railway and road infrastructures. The starting point is the BRIGHT method (BRIdGes Health Testing method, patented by AISICO), already applied on a large data set of information, and essentially based on the automatic detection of damages on structural elements of bridges and viaducts. The results carried out on 80 railway bridges provide new ideas to the sector of monitoring and control of existing infrastructures in terms of automatization. Then, the BRIGHT method, built on the railway specifications described by DOMUS, has been recently expanded to meet the requirements of the 2022 Italian Guidelines for existing road bridges and viaducts (DM 204, 1/07/2022). These require to fulfill several defect sheets for each structural element (e.g., beams, transversal beams, slabs, piers, abutments, supports, and so on), with a proper evaluation, for each defect, of type, extension and intensity. It follows that the damage evaluation requires usually a large number of operations with a high level of repetitiveness. Therefore, the use of AI techniques is a promising tool for the near future, to acquire and collect the images with unmanned aerial vehicle, from one hand, and to fulfill the defect sheets, from the other one, reducing time and cost. In this framework, one of the main goals of the cited IRRADIA research project is the investigation of the results obtained with the BRIGHT method extended to 2022 Italian Guidelines, that is, to road infrastructures. In this contribution the first results obtained on two bridges, the first in reinforced concrete and the second with a masonry structure, are presented and discussed.
IRRADIA 基础设施高级管理研究项目
AISICO 和罗马 "萨皮恩扎 "大学正在开展 IRRADIA 项目,该研究项目旨在调查人工智能在铁路和公路基础设施结构评估中的应用。该项目的出发点是 BRIGHT 方法(BRIdGes Health Testing method,由 AISICO 获得专利),该方法已应用于大量的信息数据集,主要基于自动检测桥梁和高架桥结构元素的损坏情况。在 80 座铁路桥梁上取得的成果为监测和控制现有基础设施的自动化提供了新思路。BRIGHT 方法以 DOMUS 所描述的铁路规范为基础,最近又进行了扩展,以满足 2022 年意大利既有公路桥梁和高架桥指南(DM 204,1/07/2022)的要求。这些要求为每个结构元素(如梁、横梁、板、桥墩、桥台、支撑等)提供多个缺陷表,并对每个缺陷的类型、扩展和强度进行适当评估。由此可见,损伤评估通常需要大量的重复性操作。因此,在不久的将来,使用人工智能技术是一种很有前途的工具,一方面可以利用无人驾驶飞行器获取和收集图像,另一方面可以完成缺陷表的制作,从而减少时间和成本。在此框架下,IRRADIA 研究项目的主要目标之一是研究 BRIGHT 方法在 2022 年意大利准则(即道路基础设施)中取得的成果。本文介绍并讨论了在两座桥梁上取得的初步成果,第一座是钢筋混凝土桥梁,第二座是砌体结构桥梁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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