Radu Mircea DAMIAN

Prof. Dr. Radu Mircea DAMIAN

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 May 2018 in European Journal of Higher Education
Verified
Journal Article
Closed access
ABAndrei-Stelian Bejan
Andrei-Stelian Bejan
RDRadu Mircea DAMIAN
Radu Mircea DAMIAN
TLTheodor Leiber
Theodor Leiber
INIohan Neuner
Iohan Neuner
LNLidia Niculita
Lidia Niculita
Radu VacareanuRadu Vacareanu
Radu Vacareanu
The article reports on a case study of impact evaluation of external quality assurance, i.e. institutional evaluation including programme accreditation, which was carried out by the Romanian Agency for Quality Assurance in Higher Education at Technical University of Civil Engineering Bucharest in the form of a methodological before-after comparison. The impact evaluation exhibits a marked stability of the attitudes towards quality assurance of different stakeholders on a high positive level. The analysis also shows that teachers, on the average, perceive better and perceive more effects of quality assurance in learning and teaching, and that they experience university leadership as highly supportive for quality assurance. The study further demonstrates that for teachers the perceived amount of benefit surpasses the perceived expenditure. Finally, a series of open answers gives indications for possible improvement of the university’s quality assurance and organizational structures.

27 March 2026 in Water
Verified
Journal Article
Open access
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EIELENA MARIA IATAN
ELENA MARIA IATAN
RDRadu Mircea DAMIAN
Radu Mircea DAMIAN
ADAngel Madalin Dogeanu
Angel Madalin Dogeanu
ISIon Sota
Ion Sota
AIAlexandru Iatan
Alexandru Iatan
Sewerage systems are a main element of a city’s infrastructure. Roughness coefficients are fundamental parameters for sewage system operation. The intermittent nature of the flow leads to the appearance of deposits that become an integral part of the sewerage systems. Deposited material not only leads to the loss of hydraulic capacity and decreases the concentration of dissolved oxygen (which is found in direct relation to all quality parameters), but it also results in more transported particles being intercepted. In the design calculations, the roughness coefficient is estimated rather than calculated. It has been demonstrated that the estimation of stress within and above roughness elements improves the predictive capability for the concentration of suspended sediment. In this study, we focused on a local evaluation of the roughness coefficient when the flow velocity is below the minimum self-cleansing velocity. Some authors consider the selection of the most reliable method for estimating bed shear stress to be the main challenge. Other authors have suggested that all possible methods should be applied simultaneously to achieve a reliable bed shear stress estimation, knowing that the roughness coefficient can be determined through the shear boundary stress. We calculate the local roughness coefficient in Manning’s equation using a laboratory model, considering clear water flowing over a solid boundary with consolidated deposits, represented by artificial roughness elements (calibrated hemispheres). The European standard EN 752:2017 specifies a minimum average cross-sectional velocity of 0.7 m/s for pipe self-cleansing. This study established the range of possible roughness coefficient values when the minimum velocity design criterion is not met. The second criterion was to consider acceptable a sediment deposit occupying between 1% and 2% of the collector diameter. Velocity distributions around artificial roughness and statistical parameters of the turbulent flow were obtained using a PIV system. Five methods were implemented and the range of roughness coefficient values varied between 0.007 and 0.023. This variation is closely related to sewer performance. We selected the dissipation method as the primary reference for this study, as it is most closely aligned with the underlying physics of flow over roughness elements. This approach allows for robust validation by correlating multiple characteristic mechanisms of the turbulent cascade.