scholarly journals BIM-LCA Integration Framework for Sustainable Road Pavement Maintenance Practices

Author(s):  
Cristina Oreto ◽  
Salvatore Antonio Biancardo ◽  
Rosa Veropalumbo ◽  
Nunzio Viscione ◽  
Francesca Russo ◽  
...  
Author(s):  
Dan Bența ◽  
Lucia Rusu ◽  
Misu-Jan Manolescu

This paper presents a Workflow Management System (WfMS) for procurement process automation in road pavement maintenance and management. It fits information infrastructure for monitoring and maintenance of pavements and roads. Through the two roles of administrator and major users (builder and subcontractors), the solution models the entire process. This way, risks of exceeding allocated budget, time consuming tasks, overcoming deadline, and time consuming quality control, as main issues in risk management, are reduced and controlled.


Coatings ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 298 ◽  
Author(s):  
Elisabete Freitas ◽  
Lígia Silva ◽  
Cedric Vuye

Road pavement develops distresses over time, which increase tyre/road noise. This work focuses on the impact of these distresses on environmental noise. To calculate the environmental noise, a method to transform Close ProXimity (CPX) measurement results into the required input for traffic noise models was defined and used. The tyre/road noise levels were determined by the CPX method for three types of pavement, with three types of distress, at three different speed levels. The study was carried out in the city center of Guimarães, a medium-sized Portuguese city. Using the NMPB model, 18 noise maps were produced for the passing of one single vehicle, taking into account two levels of distress (50% and 100%) for the pavement. The presence of distresses increased the noise, calculated at control points, by up to 7.1 dBA, and the percentage of the population exposed to levels over 45 dB was more than 11%. It was shown that pavement maintenance at early stages of distress development is, particularly for low-speed roads, very important to reduce environmental noise and population exposure. A comprehensive selection of the type of surface and speed control policies can mitigate the impact of a lack of maintenance.


2020 ◽  
Vol 26 (8) ◽  
pp. 717-732
Author(s):  
Ankang Ji ◽  
Xiaolong Xue ◽  
Yuna Wang ◽  
Xiaowei Luo ◽  
Minggong Zhang

Addressing the multi-dimensional challenges to promote pavement sustainability requires the development of an optimization approach by simultaneously taking into account future pavement conditions for pavement maintenance with the capability to search and determine optimal pavement maintenance strategies. Thus, this research presents an integrated approach based on the Markov chain and Particle swarm optimization algorithm which aims to consider the predicted pavement condition and optimize the pavement maintenance strategies during operation when applied in the maintenance management of a road pavement section. A case study is conducted for testing the capability of the proposed integrated approach based on two maintenance perspectives. For case 1, maintenance activities mainly occur in TM20, TM31, and TM41, with the maximum maintenance mileage reaching 88.49 miles, 50.89 miles, and 20.91 miles, respectively. For case 2, the largest annual maintenance cost in the first year is $15.16 million with four types of maintenance activities. Thereafter, the maintenance activities are performed at TM10, TM31, and TM41, respectively. The results obtained, compared with the linear program, show the integrated approach is effective and reliable for determining the maintenance strategy that can be employed to promote pavement sustainability.


2020 ◽  
Author(s):  
Salvatore Antonio Biancardo ◽  
Nunzio Viscione ◽  
Cristina Oreto ◽  
Francesca Russo

In the age of the Internet-of-Things and Big Data, Building Information Modeling (BIM) is being expanded into sectors for which it was not originally designed, such as the infrastructure sector, and becomes a necessity for the planning and management of smart cities. The digitization of the urban environment, its building and infrastructural heritage and its services is at the center of the concept of smart city, and this appears strongly linked to the use of BIM on an increasingly extended scale as an enabling tool for planning cities that are increasingly intelligent, sustainable, interconnected and above all liveable. In this chapter a creation process for the digitalization of existing roads, as well-known as reverse engineering method, will be shown as follows: a) modeling 3D digital terrain model; b) creating the horizontal alignment, vertical profiles and editing cross-sections; c) modeling the 3D corridor. As a response to long-term development between BIM and road engineering, this chapter will contribute also by offering innovative and practical solutions for integration of road design and pavement analysis, for a better management and optimization of road pavement maintenance.


2015 ◽  
Vol 2015 ◽  
pp. 1-17 ◽  
Author(s):  
Yashon O. Ouma ◽  
J. Opudo ◽  
S. Nyambenya

For road pavement maintenance and repairs prioritization, a multiattribute approach that compares fuzzy Analytical Hierarchy Process (AHP) and fuzzy Technique for Order Preference by Ideal Situation (TOPSIS) is evaluated. The pavement distress data was collected through empirical condition surveys and rating by pavement experts. In comparison to the crisp AHP, the fuzzy AHP and fuzzy TOPSIS pairwise comparison techniques are considered to be more suitable for the subjective analysis of the pavement conditions for automated maintenance prioritization. From the case study results, four pavement maintenance objectives were determined as road safety, pavement surface preservation, road operational status and standards, and road aesthetics, with corresponding depreciating significance weights ofW=0.37,0.31,0.22,0.10T. The top three maintenance functions were identified as Thin Hot Mix Asphalt (HMA) overlays, resurfacing and slurry seals, which were a result of pavement cracking, potholes, raveling, and patching, while the bottom three were cape seal, micro surfacing, and fog seal. The two methods gave nearly the same prioritization ranking. In general, the fuzzy AHP approach tended to overestimate the maintenance prioritization ranking as compared to the fuzzy TOPSIS.


Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 364
Author(s):  
Shu-Shun Liu ◽  
Agung Budiwirawan ◽  
Muhammad Faizal Ardhiansyah Arifin ◽  
Wei Tong Chen ◽  
Ying-Hua Huang

When heavy rain strikes Taiwan, it always results in cracks in road pavement, and damages arising from potholes. Tremendously compromising road safety, road users may have fatal accidents caused by untimely repair actions. The road maintenance department needs to take the responsibilities for road sections in the form of inspections and faces the decision about how to properly allocate available resources to repair pavement damages immediately. When performing pavement repair works, we need to consider the resource consumption behavior and explore the mechanism of replenishing resources and calculating the return time. Therefore, in order to help maintenance units to deal with consumable resource issues, this study proposes a novel approach to offer the mechanism of consumable resource calculation, which is difficult to solve through the traditional vehicle routing problem (VRP) approach. This proposed model treats the pothole repair problem as a resource-constrained project scheduling problem (RCPSP), which is capable of resolving such consumable resource considerations. The proposed model was developed by adopting constraint programming (CP) techniques. Research results showed that the proposed model is capable of providing the optimal decisions of pavement pothole repair tasks and also meets practical requirements to make appropriate adjustment, and helps the maintenance unit to shorten total repair duration and optimize resource assignment decisions of pavement maintenance objectives.


2009 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Wee S.Y. ◽  
R.A @ R.B Chan ◽  
Teo H.W.

Bitumen pavements tend to crack at some point of their life under the combined action of traffic and the environment. These cracks are defects in the pavement surfacing which weakens the pavement and allows water to penetrate and cause further weakening. Once initiated, cracking usually increases in extent, severity and intensity, leading eventually to pavement failure. Cracking has therefore been an important indicator for road pavement maintenance. In view of the extensive road network in Malaysia covering more than 80,000 kilometers in total, the government has to spend huge sums of money on the repair of cracks under its annual road maintenance program. However, the resurfacing works have not always been successful and cracks tend to reappear after some time. The accurate prediction of crack occurrence and the effectiveness of resurfacing works to control cracks are key factors in predicting the timing and costs of road maintenance. In view of this, it is imperative that a suitable model for the prediction of crack development be derived. This model will then be able to predict the deterioration rate of pavement cracking in the future. It in turn will enable effective road rehabilitation programs be implemented in time before cracking deteriorates and leads to eventual pavement failure.


2015 ◽  
Vol 9 (1) ◽  
pp. 919-922
Author(s):  
Qin Zhi-bin ◽  
Zhang Wen-ting ◽  
Zheng Hui ◽  
Wang Kang

Analyses the current road pavement maintenance technical specification, put forward a new evaluation method for maintenance and overlay of old asphalt pavement. Considering the uncertainty and complexity in the process of performance evaluation, and based on the entropy and the Kohonen network theory, the performance evaluation system is established in Kohonen network of fuzzy entropy method, combine the expert’s weight and entropy method to confirm the weight, in order to reflect the subjectivity of classification and objectivity of measured data at the same time


2019 ◽  
Vol 26 (5) ◽  
pp. 827-849
Author(s):  
Saeed Haji Karimian ◽  
Jasper Mbachu ◽  
Temitope Egbelakin ◽  
Wajiha Shahzad

Purpose The purpose of this paper is to investigate the key productivity constraints faced by New Zealand (NZ) road pavement maintenance and rehabilitation contractors (RPMRCs) and the associated mitigation measures. Design/methodology/approach Interview-based exploratory research strategy was used to survey senior managers and directors of medium- to large-sized road contracting firms in NZ. Empirical data were analyzed using the multi-attribute analytical technique. Findings Results revealed 70 productivity constraints faced by the RPMRCs in NZ; in diminishing order of influence, these constraints were aggregated into eight broad categories as follows: finance, workforce, technology/process, statutory/regulatory compliance, project characteristics, project management/project team characteristics, unforeseen circumstances and other/external factors. The most important constraints in each of the eight broad categories were presented. Research limitations/implications The key limitation of the research is that it was based on feedback from a limited number of participants which were less than the minimum required to represent the views of the potential participants in the sampling frame for the study. As a result, the findings may not be reliably generalized beyond the scope of the data used. Further research on the subject is recommended to ensure that the representation of the views of the individuals and companies that comprised the sampling frame is achieved. The current findings could be formulated as propositions or hypotheses to be tested in future confirmatory research. Practical implications At the industry level, the findings could provide the basis for the skill development programs of the NZ RPMRCs. The application of the research findings by the RPMRCs and consultants could result in significant improvement in the productivity of the NZ roading sector and the sector’s enhanced contribution to the economy. Originality/value Currently, there is little research on the priority constraints to productivity and performance in the NZ roading sector. The findings contribute to knowledge by revealing critical factors constraining productivity performance of the NZ RMRCs and the associated improvement measures. New and more enriching viewpoints were provided on how contractors could leverage their limited resources to address the identified key constraints.


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