Impact of loaded trucks on highway infrastructure deterioration
Notice bibliographique
Résumé
Impact of loaded trucks on our transponation infrastructure system is becoming a growing concern for many State Departments of Transportation (DOTs) in the U.S. An increasing volume of loaded trucks due to the implememation of the NAFTA is likely to make the situation worse for the NAFTA corridor states including Oklahoma, because the axle loads as well as gross vehicular weight limits for the Mexican and the Canadian trucks are much higher than the corresponding U.S. limits. This report attempts to document the effeet of truck axle load, gross vehicular weight, and traffic volume on major damage to pavements and bridges. The information was mostly assembled through a comprehensive literature search and contacts with several state agencies. Due to limited resources, scope, and time, no laboratory and field study and material testing were performed. The truck user fees and taxes in Oklahoma are not equitable with the damage these heavy vehicles cause to the transportation infrastructure. Over 92% of the total equivalent single axle loads (ESALs) on rural lnterstate highways are contributed by truck traffic. The corresponding average ESALs for rural and urban highways are over 80%. Fatigue damage is one of the most common distresses in both flexible and rigid pavements, although it is more predominant in rigid pavements. Fatigue damage in pavement is highly sensitive to the axle load (proportional to the fourth power). Due to a 10% increase in axle load, from the current limit of 20 kips to 22 kips, the fatigue damage is increased by 46% , thus significantly reducmg the remaining life of pavements. High axle loads in asphalt pavements drastically inciuse the rutting potential. The axle load magnitudes and frequency of truck traffic are largely responsible for faulting and pumping-induced deterioration in concrete pavemems. Heavy vehicles (over 7, 700 lb) are believed to be responsible for about 99 % of the total traffic-related damages in pavements. An 80 kips truck bas the same damaging potential as 9,600 automobiles. Also, the serviceability of pavements is shortened significantly by the action of heavy trucks. Overstress in bridge members due to the passage of heavy Canadian trucks was analyzed in this srudy. About 70 percent of the Oklahoma interstate bridges were found safe with respect m overstressing. Almost all concrete culvert and concrete girder bridges are not likely to be susceptible to overstress, while the majority of steel bridges may undergo significant overstressing due to the passage of the Canadian trucks. Increase of truck load and volume can also result significant fatigue damage to steel bridges and thus reduce the life.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».