### Abstract

A recursive nonlinear model was developed to predict pavement deterioration. Pavement deterioration was assessed in terms of loss of serviceability - expressed as a function of traffic characteristics, pavement structural properties and environmental conditions. The model highlights some of the advantages of relaxing the linear restriction usually placed on the model specification. First, a functional form that better represents the physical deterioration process can be used. Second, the estimated parameters are unbiased because of proper specification and the use of sound estimation techniques. Finally, the standard error of the regression was reduced by half that of the equivalent existing linear model. The model developed enables the determination of an unbiased exponent of the so-called power law, and equivalent loads for different axle configurations. The estimated exponent confirms the value of 4.2 traditionally used. However, equivalent loads estimated for different axle configurations differed from traditionally used values. The estimated equivalent load for a single axle with single wheels is 44 kN, while the equivalent load for a tandem axle with dual wheels is 148 kN.

Original language | English (US) |
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Pages | 481-488 |

Number of pages | 8 |

State | Published - Jan 1 2002 |

Event | Proceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation - Cambridge, MA, United States Duration: Aug 5 2002 → Aug 7 2002 |

### Other

Other | Proceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation |
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Country | United States |

City | Cambridge, MA |

Period | 8/5/02 → 8/7/02 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*A nonlinear model for predicting pavement serviceability*. 481-488. Paper presented at Proceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation, Cambridge, MA, United States.

**A nonlinear model for predicting pavement serviceability.** / Prozzi, Jorge A.; Madanat, Samer.

Research output: Contribution to conference › Paper

}

TY - CONF

T1 - A nonlinear model for predicting pavement serviceability

AU - Prozzi, Jorge A.

AU - Madanat, Samer

PY - 2002/1/1

Y1 - 2002/1/1

N2 - A recursive nonlinear model was developed to predict pavement deterioration. Pavement deterioration was assessed in terms of loss of serviceability - expressed as a function of traffic characteristics, pavement structural properties and environmental conditions. The model highlights some of the advantages of relaxing the linear restriction usually placed on the model specification. First, a functional form that better represents the physical deterioration process can be used. Second, the estimated parameters are unbiased because of proper specification and the use of sound estimation techniques. Finally, the standard error of the regression was reduced by half that of the equivalent existing linear model. The model developed enables the determination of an unbiased exponent of the so-called power law, and equivalent loads for different axle configurations. The estimated exponent confirms the value of 4.2 traditionally used. However, equivalent loads estimated for different axle configurations differed from traditionally used values. The estimated equivalent load for a single axle with single wheels is 44 kN, while the equivalent load for a tandem axle with dual wheels is 148 kN.

AB - A recursive nonlinear model was developed to predict pavement deterioration. Pavement deterioration was assessed in terms of loss of serviceability - expressed as a function of traffic characteristics, pavement structural properties and environmental conditions. The model highlights some of the advantages of relaxing the linear restriction usually placed on the model specification. First, a functional form that better represents the physical deterioration process can be used. Second, the estimated parameters are unbiased because of proper specification and the use of sound estimation techniques. Finally, the standard error of the regression was reduced by half that of the equivalent existing linear model. The model developed enables the determination of an unbiased exponent of the so-called power law, and equivalent loads for different axle configurations. The estimated exponent confirms the value of 4.2 traditionally used. However, equivalent loads estimated for different axle configurations differed from traditionally used values. The estimated equivalent load for a single axle with single wheels is 44 kN, while the equivalent load for a tandem axle with dual wheels is 148 kN.

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M3 - Paper

SP - 481

EP - 488

ER -