Comparison of stochastic estimation methods with conditional events optimization for the reconstruction of the flow around a supercritical airfoil in transonic conditions

Dynamic wind turbine wake reconstruction: A Koopman-linear flow estimator

“…Furthermore, in Ref. [16], the flow around the airfoil is also studied using LSE: sensors are placed on or around the airfoil to provide directmeasured information as probes, and LSE reconstructs the steady flow based on the probes-measured data. The main advantages of LSE method are that: the reconstruction is based on physical measurements.…”

Estimation of time-resolved turbulent fields through correlation of non-time-resolved field measurements and time-resolved point measurements

“…for aeroacoustics applications [21]) or temporal domain (for flow field reconstruction from PIV data or flow control applications [22]). An assessment of stochastic estimation methods performances and of the effect of the sensor location is reported in [23].…”

Distortion reconstruction in S-ducts from wall static pressure measurements

“…This method, introduced by Adrian and Moin (1988), has been Distortion reconstruction proven an attractive tool to estimate velocity fields from a few sparse measurements, generally the wall static pressure. The classical linear stochastic estimation (LSE) and its several extensions (higher-order stochastic estimation, multi-time delays) have been extensively used to describe several turbulent flows (shear layers and boundary layers), as shown in the thorough literature review of Arnault (2016) and Arnault et al (2016). Although such methods were never applied for S-duct flows, they constitute relevant candidates as flow distortion reconstruction algorithm from wall measurements.…”