Artificial compressibility

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Prediction of compressive strength of concrete at high heating conditions by using artificial neural network-based Bayesian regularization

In this study, an artificial neural networkbased Bayesian regularization (ANN) model is proposed to predict the compressive strength of concrete. The database in this study includes 208 experimental results synthesized from laboratory experiments with 9 input variables related to temperature change and design material composition.

12p viengfa 28-10-2024 2 2 Download

Master's thesis of Engineering: Performance of fluid-structure interaction based on analytical and computational techniques

The four main objectives of this work can be summarized as follows: To provide a theoretical analysis of added-mass instability that focuses on improving the performance of FSI using the partitioned approach; To develop an efficient and stable tool to analyze applications that are relevant to FSI; To validate the techniques with well defined analytical solutions; To evaluate the performance of artifical compressibility and compare it to the under-relaxation technique.

178p runthenight07 01-03-2023 12 4 Download