PURPOSES: A methodology using a 3D-engineering technique was developed for implementation in paving Quality Control (QC) practice in bridge overlay paving. METHODS: The as-built surface of a concrete-box-girder bridge tends to exhibit a certain level of undulation or roughness. This is usually caused by the inevitable limitation that camber prediction and construction cannot be perfectly matched. The undulation itself would not be a severe defect in a bridge structure, but it results in a challenge for achieving overlay pavement qualities such as pavement thickness and smoothness. One advantage of the 3D-engineering technique is that it allowed identification in advance, of conditions that will interfere with construction, thus preventing non-conformance qualities from being re-worked. RESULTS : Utilizing this technique, overlay paving was virtually simulated in advance, and insufficient thickness areas and rough sections were visually identified. Paving quantities were automatically computed. Paving level alternatives were correspondingly established based on analysis of the quantitative and 3D visual outputs. CONCLUSIONS: This study showed that this methodology could be successfully utilized for optimizing paving quantity and quality

PURPOSES: The performance of both string line and multi-sonic sensor systems were investigated with respect to achieving smoothness in a 5 cm-thick Stone Mastic Asphalt (SMA) wearing layer. METHODS: String line and multi-sonic sensor systems were applied in the leading and trailing lanes, respectively, with two-lane simultaneous paving. RESULTS: Two systems did not show any significant statistical difference in initial International Roughness Index(IRI). The multi-sonic sensor system produced smoothness similar to that by the string line system. CONCLUSIONS : The string line system was found to be very effective in eliminating roughness below a wavelength of about 2 m, confirming that a string line reference is the best system to obtain a smoother surface. A multi-sonic sensor system evidently demonstrated the capability of replicating a reference level and, partly showed a roughness averaging effect within the system length. It can further be concluded that the effect of smoothness of the underlying layer on the upper layer smoothness cannot be ignored.