Pavement condition assessment using soft computing techniques

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جزئیات بیشتر

انتشار

۲۰۲۱

پایگاه داده

نشریه الزویر

نوع نگارش مقاله

مقاله پژوهشی

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scopus – master journals – JCR

ایمپکت فاکتور

۴٫۲۷۶ در سال ۲۰۲۰

شاخص H_index

۲۶ در سال ۲۰۲۱

شاخص SJR

۰٫۹۰۱ در سال ۲۰۲۰

شاخص Quartile (چارک)

Q1 در سال ۲۰۲۰

مدل مفهومی

ندارد

پرسشنامه

ندارد

متغیر

ندارد

رفرنس

دارد

قوانین استفاده

خرید محصول توسط کلیه کارت های شتاب امکان پذیر است و بلافاصله پس از خرید، لینک دانلود محصول در اختیار شما قرار خواهد گرفت و هر گونه فروش در سایت های دیگر قابل پیگیری خواهد بود.

توضیحات مختصر محصول
Pavement condition assessment using soft computing techniques

فهرست مطالب مقاله:

Abstract

Roads are the lifeline of a nation which provides a reliable and easy access to different areas across the country. Once the roads are constructed, their condition goes on deteriorating with time. Therefore, implementing periodic pavement maintenance is equally impor- tant as that of construction for the satisfactory performance throughout their design life. This study develops an approach for pavement condition  assessment and their prioritization which can be dealt with a variety of performance indicators for evaluating different aspects of pavement performance. Pavement stretches with low ratings will have a high probability to be scheduled for maintenance and reha- bilitation, depending on the availability of funds and the importance of roads.

This paper presents two approaches of fuzzy mathematical analysis to conceive strategic planning for maintenance and rehabilitation

of pavements. The pavement deterioration condition  has been marked by four performance indicators: (a) International  Roughness

Index (IRI) (b) Surface Modulus  (Eo) (c) Rut depth (R) and (d) Friction  Coefficient (f). A methodology has been framed to assess con-

dition of Pradhan Mantri Gramin Sadak Yojna (PMGSY) all weather roads located in Jhunjhunu district of Rajasthan, India. These

stretches have been prioritized  on the basis of their performance parameters using two soft computing techniques: (a) Fuzzy Analytical

Hierarchy Process (FAHP) and (b) Fuzzy Weighted Average (FWA) method.

The results clearly demonstrate that FAHP being more scientific approach can be considered as a base model for assessing the pave-

ment condition, however to have sound decisions, results so obtained are compared effectively from FWA method.

بخشی از متن مقاله:
  1. Introduction

Accessibility in rural areas plays an important role in poverty eradication and overall socio-economic develop- ment. Thus, the need for road connectivity has been con- sidered vital in the developing countries having vast rural population. In India, traditionally  the construction of rural roads has been the responsibility  of the provincial govern- ments and thus the progress  of construction of quality

roads was rather slow and the existing roads  were also not being maintained in the absence of adequate funding. Thus, in year 2000,  the  Government   of India (GoI) launched a nationwide fully centrally sponsored rural road development scheme, popularly  known as Pradhan  Mantri Gramin Sadak Yojna (PMGSY). The main objective of this scheme  was  to provide connectivity  through all- weather roads to rural areas so that overall development can be ensured at local, regional and national levels. The PMGSY scheme was designed so as to ensure that a new road constructed would be maintained by the contractor for the first five years. Most of the rural roads constructed during the first few years after the inception of the project are quite old now and in the absence of proper maintenance are showing distresses of various magnitudes. The Government of India has stressed the need of maintenance and rehabilitation of rural pavements in the 12th five-year plan. Thus, there is a need to develop a pavement mainte- nance management system for PMGSY roads that could be used as a tool for allocation of funds at the local govern- ment level. The present paper discusses about a case study carried out in Jhunjhunu district of Rajasthan  state in India with an aim of prioritizing a few selected PMGSY roads on the basis of their current conditions  based on extent and severity of visible  distresses. The major chal- lenge in pavement maintenance work is the allocation  of sufficient funds for these pavements on the basis of their factual conditions at appropriate time by the government [1]. The most practical and economical approach for the maintenance of rural roads is to collect pavement condi- tions by visual inspection  survey. Various distresses are recorded in terms of extent and severity and then prioritize the stretches depending  on the overall condition.  While standard templates are available  for rating different dis- tresses, still there are possibilities  of variation in human judgements.  The objective  of this paper is to illustrate how the fuzzy approach could be effectively used to mitigate these variations  and develop a tool that would prioritize the road stretches on the basis of overall conditions and then help to take optimal funding allocation decisions. The pavement characteristics in this case study have been quantified, by physical means, rather than by having simple qualitative  assessments and utmost care has been taken to obtain precise data. Once the requisite data are collected, they have been analysed using fuzzy approaches i.e. FAHP and FWA method.

The road users are mainly concerned in the functional performance of the pavement, which is expressed by rough- ness and surface friction. The implementing agencies on the other hand are focused on structural performance and dis- tress  on the pavement  surface.  In Pavement Condition Assessment (PCA) the main steps involved are to evaluate the  current  pavement  condition in terms  of distresses, determine the rates of deterioration and project the future conditions. The various indicators to define the current condition of the pavement are determined on the basis of structural, functional, safety performances. The structural performance is measured mainly by non-destructive tests such as Benkelman Beam deflection measurement or falling weight and Light Weight  deflectometers. The functional performance is measured using Bump Integrator which is then represented by International Roughness Index (IRI). It can also be determined by manual inspection survey by observing  the severity  and extent  of distresses  such as cracking,  rutting,  potholes, shoving, ravelling,  bleeding, edge cracking  and other visible distresses. The safety per- formance is measured in terms of surface resistance and skid resistance equipment  is usually  used to measure it. However, all these pavement evaluation  techniques may not be used in each study as it depends on the scope of the work, availability of time and resources [2].

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