Reliability based design optimization of asphalt pavements

Sánchez-Silva, Mauricio; Arroyo, Orlando; Junca, Mauricio; Caro, Silvia; Caicedo, Bernardo

doi:10.1080/10298430500445506

Cited by 42 publications

(13 citation statements)

References 13 publications

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“…Constraints were imposed on thickness of base, fatigue factor, erosion factor, type of sub-base and area of reinforcement per square metre. Sanchez-Silva et al (2005) presented a model for optimising the design of flexible asphalt pavements. Their objective was to optimise the total return on investment during the lifetime of a given pavement project.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of flexible pavements using a framework of DAKOTA and MEPDG

Gaurav

Wojtkiewicz

Khazanovich

2011

International Journal of Pavement Engineering

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Pavement design optimisation is an active area of research. Due to a large number of parameters, such as thickness of layers, material properties, climatic conditions, affecting pavement performance, it is usually not feasible to determine an optimal design using a trial and error approach. In order to make the design calculation computationally tractable, the process can be posed as an optimisation problem. Previous investigations in this vein have suffered from the limitations of a specific pavement analysis tool, specific design goals and specific optimisation algorithms. This paper presents a general computational framework, combining Mechanistic-Empirical Pavement Design Guide and Design Analysis Kit for Optimisation and Terascale Applications, to overcome these shortcomings. The framework's promise is demonstrated through its application to a minimum cost pavement design problem using both direct and surrogate-based (SBO) optimisation approaches. The SBO formulation is shown to achieve significant savings in required computational time with a minimal loss of accuracy in the determined optimal design.

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Section: Introductionmentioning

confidence: 99%

Optimal design of flexible pavements using a framework of DAKOTA and MEPDG

Gaurav

Wojtkiewicz

Khazanovich

2011

International Journal of Pavement Engineering

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“…Their model incorporated the three dominant factors in pavement performance, i.e., structural properties, environmental effects, and traffic load [6]. Zhang (2009) proposed an analytical method for estimating the pavement performance of North-West China roadways by using linear regression technique [22] [14]. Although many studies have proposed pavement performance measures, the above works focused on optimization only at the design stage and not during the equally important maintenance planning stage.…”

Section: Literature Reviewmentioning

confidence: 99%

Probabilistic Performance Reliabiilty-Cost Tradeoff for Maintenance Strategy

Chou¹,

Le²

2011

28th International Symposium on Automation and Robotics in Construction (ISARC 2011)

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Maintenance strategies are typically implemented by optimizing only the cost whilst the reliability of facility performance is neglected. This study proposes a novel algorithm using multi-objective particle swarm optimization (MOPSO) technique to evaluate the cost-reliability tradeoff in a flexible maintenance strategy based on non-dominant solutions. Moreover, a probabilistic model for regression parameters is employed to assess reliability-based performance. A numerical example of a highway pavement project is illustrated to demonstrate the efficacy of the proposed MOPSO algorithms. The analytical results show that the proposed approach can help decision makers to optimize roadway maintenance plans.

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“…The pavement structural design methods are classified in mechanistic (based on the mechanics of the materials) (Tighe et al, 2007); empirical, (based on laboratory or field tests) (Carvalho & Schwartz, 2006); and mechanistic-empirical (the pavement structure is designed through a mechanistic analysis, and its performance is assessed through deterioration models to adjust the structure's design) (Carvalho et al, 2006). Whatever the hypothesis of the design method used, reliability is always involved as a way of taking into account the uncertainty of variables such as traffic growth, traffic loads, environmental conditions, damage progression, mechanical properties and structural performance of the materials as well as of the quality of the building processes (AASHTO 1993;Sánchez-Silva et al, 2005).…”

Section: Including Reliability In the Aashto-93 Flexible Pavement Desmentioning

confidence: 99%

Including reliability in the AASHTO-93 flexible pavement design method integrating pavement deterioration models

Moreno

Navarro

Zeballos

2017

rdlc

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The reliability used in the pavement design is assigned according to recommendations of design guides or according to the designer's criteria; that is to say, there is no rational tool for their estimation. In addition, the chosen value is deterministic and does not consider the random nature of the process or the actual conditions of load, climate, material behavior and impact of the construction process that affect the performance of the structure when it is in service. This research proposes to link the design method and calibrated deterioration models to local conditions that consider the actual behavior of the materials, the variability of the construction process, the actual load stresses and the weather, when in operation. For this, a Monte Carlo simulation model is developed, using field data and statistical concepts that allow defining the variables of the model as random variables. Subsequently, with the variables found and using the reliability theory and the serviceability model, the design method and the models of deterioration are evaluated through a supply and demand analysis to obtain the reliability value that reduces the uncertainty of the performance of the structure when operating.Key words: Reliability, pavement design, deterioration models, serviceability, pavement design life, pavement service life. ResumenLa confiabilidad usada en el diseño de un pavimento se asigna según recomendaciones de guías de diseño o de acuerdo al criterio del diseñador, es decir no existe una herramienta racional para su estimación. Además, el valor elegido es determinista y no considera la naturaleza aleatoria del proceso ni las condiciones reales de carga, clima, comportamiento de materiales e impacto del proceso constructivo que afectan el desempeño de la estructura cuando se encuentra en servicio Esta investigación propone enlazar el método de diseño y los modelos de deterioro calibrados a condiciones locales que consideran el comportamiento real de los materiales, la variabilidad del proceso constructivo, las solicitaciones reales de carga y clima cuando se encuentran en operación. Para ello se desarrolla un modelo de simulación del tipo Monte Carlo, usando datos de campo y conceptos estadísticos que permiten definir las variables del modelo como variables aleatorias. Posteriormente, con las variables encontradas y utilizando la teoría de confiabilidad y el modelo de serviciabilidad, se evalúa el método de diseño y los modelos de deterioro a través de un análisis de oferta y demanda para obtener el valor de confiabilidad que reduce la incertidumbre del desempeño de la estructura cuando se encuentra en operación Palabras clave: Confiabilidad, diseño de pavimentos, modelos de deterioro, serviciabilidad, vida de diseño, vida de servicio.

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Reliability based design optimization of asphalt pavements

Cited by 42 publications

References 13 publications

Optimal design of flexible pavements using a framework of DAKOTA and MEPDG

Optimal design of flexible pavements using a framework of DAKOTA and MEPDG

Probabilistic Performance Reliabiilty-Cost Tradeoff for Maintenance Strategy

Including reliability in the AASHTO-93 flexible pavement design method integrating pavement deterioration models

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