Road Pavement Information Modeling through Maintenance Scenario Evaluation

Abstract

Road maintenance operations involve the preservation of the optimal functionality of the pavement. Sometimes the rehabilitation of the pavement layout does not have long lasting effects due to a lack of compliance with the constraints imposed by the technical specifications for the design of materials. The purpose of this paper is to present an efficient BIM tool to help in road maintenance operations through the management of data arising from laboratory testing of road pavement bituminous materials required for the quality control of mixtures. The database associated to the BIM model is a collection of three years of data derived from laboratory investigation on bituminous mixtures’ samples adopted for the maintenance of four main roads located in southern Italy. An algorithm that interacts with the three-dimensional road model has been implemented in order to give road administrations an easy-to-read alert signal for the road pavement structure of the road network that may present the most critical conditions due to poor mechanical and physical features.

GIS mapping used as supplementary tool to experimentally investigated subgrade soil for robust pavement design in rural area of Ethiopia

“…Before the soil samples collection for investigations, the reconnaissance and/or visual inspection was conducted to have necessary information for the assessment of actual problems in the study area (Oreto et al , 2021). Selection of pits for various tests was considered through the variability of subgrade soil in the road alignment.…”

BIM para gerenciamento, operação e manutenção de instalações: revisão cientométrica e sistemática

“…Outros focam no uso de IoT para manutenção preditiva dos sistemas MEP da edificação (Cheng et al, 2020) e para manutenção de equipamentos em parques industriais (Ma et al, 2020). No caso de infraestruturas, os estudos focam em sistemas direcionados para manutenção de pontes (Byun et al, 2021), pavimento em estradas (Oreto et al, 2021), túneis (Yin et al, 2020), infraestruturas portuárias (Valdepeñas et al, 2020) e aeroportuárias (Keskin;Salman, 2020).…”

A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning

“…To reach such goals, pavement management systems are required to collect and analyze input information regarding pavement surface condition [4,5]. One of the major outputs of these systems is to establish a proper maintenance plan that requires the shortest rehabilitation time and incurs a minimum cost [6,7].…”