Specimen-agnostic guided wave inspection using recursive feedback

Lamb waves, a configuration of guided waves are often applied to the inspection of plate like structures. Their complex, multi-modal nature makes them well suited to the inspection of different defects. Control over their propagation direction allows the engineer to increase inspection distance and prospectively locate the defect. Schemes already exist, but they require knowledge of material and its dispersion curves. If the material composition is not known, or external factors are effecting its speed of sound then these schemes may not be appropriate. The recursive feedback algorithm can be used to enhance guided waves in a single direction without a-priori knowledge. In recursive feedback, a guided wave is generated using the first element of an array transducer. Over several subsequent iterations, this guided wave is reinforced by re-transmitting recorded out of plane displacements. In this work, recursive feedback has been applied to two inspection problems; a contaminated kissing bond and a plate with a defect. With the kissing bond, it is shown that the the contamination can be identified as the A0 mode of generated waves are absorbed. In the defective plate, the defect direction is identified by a 10 dB increase in reflected energy when the guided waves are enhanced in one direction

An adaptive array excitation scheme for the unidirectional enhancement of guided waves

Control over the direction of wave propagation allows an engineer to spatially locate defects. When imaging with longitudinal waves, time delays can be applied to each element of a phased array transducer to steer a beam. Because of the highly dispersive nature of guided waves (GWs), this beamsteering approach is suboptimal. More appropriate time delays can be chosen to direct a GW if the dispersion relation of the material is known. Existing techniques, however, need a priori knowledge of material thickness and acoustic velocity, which change as a function of temperature and strain. The scheme presented here does not require prior knowledge of the dispersion relation or properties of the specimen to direct a GW. Initially, a GW is generated using a single element of an array transducer. The acquired waveforms from the remaining elements are then processed and retransmitted, constructively interfering with the wave as it travels across the spatial influence of the transducer. The scheme intrinsically compensates for the dispersion of the waves, and thus can adapt to changes in material thickness and acoustic velocity. The proposed technique is demonstrated in simulation and experimentally. Dispersion curves from either side of the array are acquired to demonstrate the scheme's ability to direct a GW in an aluminum plate. The results show that unidirectional enhancement is possible without a priori knowledge of the specimen using an arbitrary pitch array transducer. The experimental results show a 34-dB enhancement in one direction compared with the other

Adaptive Sampling Approach to the Negative Sign Problem in the Auxiliary Field Quantum Monte Carlo Method

We propose a new sampling method to calculate the ground state of interacting quantum systems. This method, which we call the adaptive sampling quantum monte carlo (ASQMC) method utilises information from the high temperature density matrix derived from the monte carlo steps. With the ASQMC method, the negative sign ratio is greatly reduced and it becomes zero in the limit $\Delta \tau$ goes to zero even without imposing any constraint such like the constraint path (CP) condition. Comparisons with numerical results obtained by using other methods are made and we find the ASQMC method gives accurate results over wide regions of physical parameters values.Comment: 8 pages, 7 figure