Abstract: To reduce the computational cost, surrogate models have been widely used to replace expensive simulations in design under uncertainty. However, most existing methods may introduce significant errors when the training data ...

Abstract: To account for the model bias in reliability analysis, various methods have been developed to validate simulation models using precise experimental data. However, it still lacks a strategy to actively seek critical information ...

Abstract: Most of the existing reliability-based design optimization (RBDO) are not capable of analyzing data from multifidelity sources to improve the confidence of optimal solution while maintaining computational efficiency. In ...

Abstract: This paper presents a long short-term memory (LSTM)-based ensemble learning approach for time-dependent reliability analysis. An LSTM network is first adopted to learn system dynamics for a specific setting with a fixed ...

Abstract: During the freezeform extrusion fabrication (FEF) process for aqueousbased pastes, the subzero temperature (in Celsius) environment aids the part in maintaining its shape by freezing the water present in the paste. The ...

Abstract: The extrusion process for aqueousbased ceramic pastes is complex due to the nonNewtonian behavior of these pastes. In this study, the extrusion process is modeled by characterizing the ceramic paste viscosity using a ...

Abstract: In the Part 1 paper, a constitutive law for the extrusion process of aqueousbased ceramic pastes was created. In the study described herein, a capillary rheometer was used to calibrate the viscosity of an alumina paste, ...

Abstract: The wheel wear situation on the railway vehicles will affect the train running stability and riding comfort. Thus, the prediction model of wheel tread wear is critical for anticipating the wheelset state information and ...