Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Pavement Performance Modeling by Markov Chain Theory
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
A Pavement Performance Model Based on the Markov Process
Author: Rajaram Ganeshan
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 200
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 200
Book Description
Pavement Performance Prediction Model Using the Markov Process
Author: Abbas A. Butt
Publisher:
ISBN:
Category : Markov processes
Languages : en
Pages : 54
Book Description
Publisher:
ISBN:
Category : Markov processes
Languages : en
Pages : 54
Book Description
Road Crack Condition Performance Modeling Using Recurrent Markov Chains and Artificial Neural Networks
Author: Jidong Yang
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
To evaluate the model performance, two comparisons were made; (1) between the recurrent Markov chain and the static Markov chain; and (2) between the recurrent Markov chain and the ANN. It is shown that the recurrent Markov chain outperforms both the static Markov chain and the ANN in terms of one-year forecasting accuracy. Therefore, with high uncertainty typically experienced in the pavement condition deterioration process, the probabilistic dynamic modeling approach as embodied in the recurrent Markov chain provides a more appropriate and applicable methodology for modeling the pavement deterioration process with respect to cracks.
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
To evaluate the model performance, two comparisons were made; (1) between the recurrent Markov chain and the static Markov chain; and (2) between the recurrent Markov chain and the ANN. It is shown that the recurrent Markov chain outperforms both the static Markov chain and the ANN in terms of one-year forecasting accuracy. Therefore, with high uncertainty typically experienced in the pavement condition deterioration process, the probabilistic dynamic modeling approach as embodied in the recurrent Markov chain provides a more appropriate and applicable methodology for modeling the pavement deterioration process with respect to cracks.
Pavement Performance Forecasting Using Markov Chain Process
Author: Thirumal Edulakanti
Publisher:
ISBN:
Category : Markov processes
Languages : en
Pages : 318
Book Description
Publisher:
ISBN:
Category : Markov processes
Languages : en
Pages : 318
Book Description
Data Analysis in Pavement Engineering
Author: Qiao Dong
Publisher: Elsevier
ISBN: 0443159297
Category : Technology & Engineering
Languages : en
Pages : 378
Book Description
Data Analysis in Pavement Engineering: Theory and Methodology offers a complete introduction to the basis of the finite element method, covering fundamental theory and worked examples in the detail required for readers to apply the knowledge to their own engineering problems and understand more advanced applications. This edition sees the significant addition of content addressing coupling problems, including Finite element analysis formulations for coupled problems; Details of algorithms for solving coupled problems; and Examples showing how algorithms can be used to solve for piezoelectricity and poroelasticity problems. Focusing on the core knowledge, mathematical and analytical tools needed for successful application, this book represents the authoritative resource of choice for graduate-level students, researchers and professional engineers involved in finite element-based engineering analysis. This book is the first comprehensive resource to cover all potential scenarios of data analysis in pavement and transportation infrastructure research, including areas such as materials testing, performance modeling, distress detection, and pavement evaluation. It provides coverage of significance tests, design of experiments, data mining, data modeling, and supervised and unsupervised machine learning techniques. It summarizes the latest research in data analysis within pavement engineering, encompassing over 300 research papers. It delves into the fundamental concepts, elements, and parameters of data analysis, empowering pavement engineers to undertake tasks typically reserved for statisticians and data scientists. The book presents 21 step-by-step case studies, showcasing the application of the data analysis method to address various problems in pavement engineering and draw meaningful conclusions.
Publisher: Elsevier
ISBN: 0443159297
Category : Technology & Engineering
Languages : en
Pages : 378
Book Description
Data Analysis in Pavement Engineering: Theory and Methodology offers a complete introduction to the basis of the finite element method, covering fundamental theory and worked examples in the detail required for readers to apply the knowledge to their own engineering problems and understand more advanced applications. This edition sees the significant addition of content addressing coupling problems, including Finite element analysis formulations for coupled problems; Details of algorithms for solving coupled problems; and Examples showing how algorithms can be used to solve for piezoelectricity and poroelasticity problems. Focusing on the core knowledge, mathematical and analytical tools needed for successful application, this book represents the authoritative resource of choice for graduate-level students, researchers and professional engineers involved in finite element-based engineering analysis. This book is the first comprehensive resource to cover all potential scenarios of data analysis in pavement and transportation infrastructure research, including areas such as materials testing, performance modeling, distress detection, and pavement evaluation. It provides coverage of significance tests, design of experiments, data mining, data modeling, and supervised and unsupervised machine learning techniques. It summarizes the latest research in data analysis within pavement engineering, encompassing over 300 research papers. It delves into the fundamental concepts, elements, and parameters of data analysis, empowering pavement engineers to undertake tasks typically reserved for statisticians and data scientists. The book presents 21 step-by-step case studies, showcasing the application of the data analysis method to address various problems in pavement engineering and draw meaningful conclusions.
Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012)
Author: Subrata Chakraborty
Publisher: Springer Science & Business Media
ISBN: 8132207572
Category : Technology & Engineering
Languages : en
Pages : 1322
Book Description
International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012) is organized by Bengal Engineering and Science University, India during the first week of January 2012 at Kolkata. The primary aim of ISEUSAM 2012 is to provide a platform to facilitate the discussion for a better understanding and management of uncertainty and risk, encompassing various aspects of safety and reliability of engineering systems. The conference received an overwhelming response from national as well as international scholars, experts and delegates from different parts of the world. Papers received from authors of several countries including Australia, Canada, China, Germany, Italy, UAE, UK and USA, besides India. More than two hundred authors have shown their interest in the symposium. The Proceedings presents ninety two high quality papers which address issues of uncertainty encompassing various fields of engineering, i.e. uncertainty analysis and modelling, structural reliability, geotechnical engineering, vibration control, earthquake engineering, environmental engineering, stochastic dynamics, transportation system, system identification and damage assessment, and infrastructure engineering.
Publisher: Springer Science & Business Media
ISBN: 8132207572
Category : Technology & Engineering
Languages : en
Pages : 1322
Book Description
International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012) is organized by Bengal Engineering and Science University, India during the first week of January 2012 at Kolkata. The primary aim of ISEUSAM 2012 is to provide a platform to facilitate the discussion for a better understanding and management of uncertainty and risk, encompassing various aspects of safety and reliability of engineering systems. The conference received an overwhelming response from national as well as international scholars, experts and delegates from different parts of the world. Papers received from authors of several countries including Australia, Canada, China, Germany, Italy, UAE, UK and USA, besides India. More than two hundred authors have shown their interest in the symposium. The Proceedings presents ninety two high quality papers which address issues of uncertainty encompassing various fields of engineering, i.e. uncertainty analysis and modelling, structural reliability, geotechnical engineering, vibration control, earthquake engineering, environmental engineering, stochastic dynamics, transportation system, system identification and damage assessment, and infrastructure engineering.
Hierarchical Markov Chain Monte Carlo and Pavement Roughness Model
Author: Leslie Mills
Publisher:
ISBN:
Category : Markov processes
Languages : en
Pages :
Book Description
Traditionally, pavement roughness has been modeled to mimic heterogeneity across pavement sections. Modeling heterogeneity is challenging and can generate models that are unable to reflect true pavement conditions. Heterogeneity is fundamental to modeling pavement roughness and describes how road conditions change continuously with corresponding time change. However, road conditions are unpredictable and this feature raises inherent challenges when modeling heterogeneity across pavement sections. This thesis seeks to model the roughness of road pavements in Kansas using hierarchical Markov Chain Monte Carlo (MCMC) simulation. The aim is to investigate how efficient this technique is at estimating and predicting pavement roughness without neglecting inherent heterogeneity across pavement sections. Hierarchical MCMC models use Bayesian approach in their estimation process which allows them to account for heterogeneity in pavement roughness. Models easily lend themselves to validation and can be examined to see if they reflect roughness conditions on a specified length of roadway or a network of roads. Using individual lengths of pavements and a nineteen year time span, a hierarchical MCMC model is used to predict the IRI value for the twentieth year. Estimated IRI values are then compared with original IRI values to see how well they correlate and if they reflect prevailing road conditions. Once proven to be successful, this technique can be incorporated into pavement management systems and used as a basis for making sound decisions about the level of roughness on a given road network.
Publisher:
ISBN:
Category : Markov processes
Languages : en
Pages :
Book Description
Traditionally, pavement roughness has been modeled to mimic heterogeneity across pavement sections. Modeling heterogeneity is challenging and can generate models that are unable to reflect true pavement conditions. Heterogeneity is fundamental to modeling pavement roughness and describes how road conditions change continuously with corresponding time change. However, road conditions are unpredictable and this feature raises inherent challenges when modeling heterogeneity across pavement sections. This thesis seeks to model the roughness of road pavements in Kansas using hierarchical Markov Chain Monte Carlo (MCMC) simulation. The aim is to investigate how efficient this technique is at estimating and predicting pavement roughness without neglecting inherent heterogeneity across pavement sections. Hierarchical MCMC models use Bayesian approach in their estimation process which allows them to account for heterogeneity in pavement roughness. Models easily lend themselves to validation and can be examined to see if they reflect roughness conditions on a specified length of roadway or a network of roads. Using individual lengths of pavements and a nineteen year time span, a hierarchical MCMC model is used to predict the IRI value for the twentieth year. Estimated IRI values are then compared with original IRI values to see how well they correlate and if they reflect prevailing road conditions. Once proven to be successful, this technique can be incorporated into pavement management systems and used as a basis for making sound decisions about the level of roughness on a given road network.
Preventive Maintenance Technology for Asphalt Pavement
Author: Feng Li
Publisher: Springer Nature
ISBN: 9811562067
Category : Technology & Engineering
Languages : en
Pages : 151
Book Description
This book provides an overview of asphalt pavement maintenance, highlighting the key asphalt pavement maintenance technologies in China. It analyzes the trend toward preventive maintenance technologies and proposes technical guidelines and implementation rules for preventive maintenance. As such it is a valuable reference resource for technicians in related industries, both in China and abroad, as well as professionals involved in road infrastructure maintenance projects in countries participating in the Belt and Road Initiative.
Publisher: Springer Nature
ISBN: 9811562067
Category : Technology & Engineering
Languages : en
Pages : 151
Book Description
This book provides an overview of asphalt pavement maintenance, highlighting the key asphalt pavement maintenance technologies in China. It analyzes the trend toward preventive maintenance technologies and proposes technical guidelines and implementation rules for preventive maintenance. As such it is a valuable reference resource for technicians in related industries, both in China and abroad, as well as professionals involved in road infrastructure maintenance projects in countries participating in the Belt and Road Initiative.
Pavement Performance Models
Author: Matthew W. Witczak
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 202
Book Description
Publisher:
ISBN:
Category : Pavements
Languages : en
Pages : 202
Book Description