Evaluating the Modified Uncertainty MCMC Approach to Obtain Safety-Quality Index in PC Construction with Current Models

Precast Concrete Construction (PCC) is a famous method in construction industry due to its different advantages. Nevertheless, this method has several discontinuous processes and they can enhance various uncertainty safety-quality issues. In this system, Building Information Modeling (BIM) technique plays a key role in managing of discontinuous processes to improve multidimensional safety and quality. Dimensionless parameters were used to evaluate the modified type of multidimensional BIM index (IMBIM) as the target index using the Modified Fuzzy Analytic Network Process (MFANP) method. In fact, the importance weight of input indices on the target was determined by the MFANP approach. The results of statistical analysis in verification step indicate that MFANP is well compatible with other approaches, so this developed method was considered as a reference point. The modified uncertainty Markov Chain Monte Carlo (MCMC) analysis was used for the validated method to determine the optimal high occurrence rate of IMBIM. The results demonstrate that a high percentage of occurrence frequency for IMBIM is in the range between 0.9 and 0.925. In this range, the mean optimal value of IMBIM as a management measure for multidimensional problems is 0.912. Stakeholders in PCC projects can use the proposed high occurrence range to assess the quality-safety of construction and make appropriate decisions

A finite volume method for a 2D dam-break simulation on a wet bed using a modified HLLC scheme

his study proposes a numerical model for depth-averaged Reynolds equations (shallow-water equations) to investigate a dam-break problem, based upon a two-dimensional (2D) second-order upwind cell-center finite volume method. The transportation terms were modelled using a modified approximate HLLC Riemann solver with the first-order accuracy. The proposed 2D model was assessed and validated through experimental data and analytical solutions for several dam-break cases on a wet and dry bed. The results showed that the error values of the model are lower than those of existing numerical methods at different points. Our findings also revealed that the dimensionless error parameters decrease as the wave propagates downstream. In general, the new model can model the dam-break problem and captures the shock wave superbly.No sponso