نتایج جستجو برای: ltpp
تعداد نتایج: 45 فیلتر نتایج به سال:
A wide range of robotic missions contain actions that exhibit looping behavior. Examples of these actions include picking fruit in agriculture, pick-and-place tasks in manufacturing and search patterns in robotic search or survey missions. These looping actions often have a range of acceptable values for the number of loops and a preference function over them. For example, during robotic survey...
This brief provides findings on the observed effect of initial pavement smoothness (also known as initial roughness, or as-constructed roughness) on the long-term pavement roughness progression of asphalt overlays. The relationship can be used as a measure for estimating the long-term effect of pavement smoothness and for consideration when developing smoothness specifications and/or payment ad...
The study presented in this paper analyzed four long-term pavement performance (LTPP) test sections located the states of New York (NY) and California (CA). Two them are flexible sections, whereas other two composite sections. levels analysis—in-state analysis cross-state analysis—were performed for these to determine impacts traffic climate conditions. was evaluated respect thermal cracking ru...
This study investigates the field performance of Warm Mix Asphalt (WMA) road overlays containing various amounts RAP and binder. Rutting, International Roughness Index (IRI), transverse, longitudinal alligator cracking are key parameters considered here. Our research is based on a Specific Pavement Study-10 experiment (SPS-10) conducted in nine states North America (eight USA one Canada) that i...
Evidence-based practice depends in part on knowledge derived from relevant research. For any given topic, there are likely to be many, potentially relevant studies; a careful appraisal and synthesis of the results of these studies is needed to understand the state of the empirical evidence. Meta-analysis is widely used to combine results of quantitative studies; yet this method is unfamiliar to...
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