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A Study on UCS of Stabilized Peat with Natural Filler: A Computational Estimation Approach
Ali Dehghanbanadaki,Mahdy Khari,Ali Arefnia,Kamarudin Ahmad,Shervin Motamedi 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.4
This study applied two feed-forward type computational methods to estimate the Unconfined Compression Strength (UCS) of stabilized peat soil with natural filler and cement. For this purpose, experimental data was obtained via testing of 271 samples at different natural filler and cement mixture dosages. The input parameters for the developed UCS (output) model were: 1) binder dosage, 2) coefficient of compressibility, 3) filler dosage, and 4) curing time. The model estimated the UCS through two types of feed-forward Artificial Neural Network (ANN) models that were trained with Particle Swarm Optimization (ANN-PSO) and Back Propagation (ANN-BP) learning algorithms. As a means to validate the precision of the model two performance indices i.e., coefficient of correlation (R2) and Mean Square Error (MSE) were examined. Sensitivity analyses was also performed to investigate the influence of each input parameters and their contribution on estimating the output. Overall, the results showed that MSE(PSO) < MSE(BP) while R2 (PSO) > R2 (BP); suggesting that the ANN-PSO model better estimates the UCS compared to ANN-BP. In addition, on the account of sensitivity analysis, it is found that the binder and filler content were the two most influential factors whilst curing period was the least effective factor in predicting UCS.
An indoor thermal environment design system for renovation using augmented reality
Tomohiro Fukuda,Kazuki Yokoi,Nobuyoshi Yabuki,Ali Motamedi 한국CDE학회 2019 Journal of computational design and engineering Vol.6 No.2
The renovation projects of buildings and living spaces, which aim to improve the thermal environment, are gaining importance because of energy saving effects and occupants’ health considerations. However, the indoor thermal design is not usually performed in a very efficient manner by stakeholders, due to the limitations of a sequential waterfall design process model, and due to the difficulty in comprehending the CFD simulation results for stakeholders. On the other hand, indoor greenery has been introduced to build-ings as a method for adjusting the thermal condition. Creating a VR environment, which can realistically and intuitively visualize a thermal simulation model is very time consuming and the resulting VR envi-ronment created by 3D computer graphics objects is disconnected from the reality and does not allow design stakeholders to experience the feelings of the real world. Therefore, the objective of this research is to develop a new AR-based methodology for intuitively visualizing indoor thermal environment for building renovation projects. In our proposed system, easy-to-comprehend visualization of CFD results augment the real scenes to provide users with information about thermal effects of their renovation design alternatives interactively. Case studies to assess the effect of indoor greenery alternatives on the thermal environment are performed. In conclusion, integrating CFD and AR provides users with a more natural feeling of the future thermal environment. The proposed method was evaluated feasible and effective.