Srivastava, A; Srivastava, D K and Misra, A K (2019) Spatial variability modeling and reliability analysis of flexible pavement through mechanistic–empirical model. Journal of Engineering, Design and Technology, 17(6), pp. 1129-1145. ISSN 1726-0531
Abstract
Purpose: The present study aims to demonstrate the performance assessment of flexible pavement structure in probabilistic framework with due consideration of spatial variability modeling of input parameter. Design/methodology/approach: The analysis incorporates mechanistic–empirical approach in which numerical analysis with spatial variability modeling of input parameters, Monte Carlo simulations (MCS) and First Order Reliability Method (FORM) are combined together for the reliability analysis of the flexible pavement. Random field concept along with Cholesky decomposition technique is used for the spatial variability modeling of the input parameter and implemented in commercially available finite difference code FLAC for the numerical analysis of pavement structure. Findings: Results of the reliability analysis, with spatial variability modeling of input parameter, are compared with the corresponding results obtained without considering spatial variability of parameters. Analyzing a particular three-layered flexible pavement structure, it is demonstrated that spatial variability modeling of input parameter provides more realistic treatment to property variations in space and influences the response of the pavement structure, as well as its performance assessment. Originality/value: Research is based on reliability analysis approach, which can also be used in decision-making for quality control and flexible pavement design in a given environment of uncertainty and extent of spatially varying input parameters in a space.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | pavement design; reliability analysis |
| Index terms: | numerical analysis, pavement design, flexible pavement, methodology, decision-making, variation, Monte Carlo simulation, reliability analysis, performance assessment, variability, quality control, modelling |
| Subjects: | modelling and simulation, data analysis and analytics, analytical methods, project delivery, reliability engineering, assessment methods, decision analysis, transportation engineering, statistical analysis, research methods, contractual condition |
| Topics: | Quality Management, Human Resources, Contract Administration, Engineering Principles, Research Practice, Risk Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here