Quality Enhancement of Dar Crude Oil Pre-processing Using Model Predictive Control by Mohamed A. Rahim, Omnia Hassan, Mohammed A.S. Ahmed

“…Thus, to implement a control system that guarantees high control efficiency with less energy and heat consumption, the first and second-stage separators in Central Processing Facilities (CPFs) operated with conventional PID controllers are replaced with a higher layer of Model Predictive Controller (MPC). …”
Get full text

Do land models miss key soil hydrological processes controlling soil moisture memory? by M. A. Farmani, A. Behrangi, A. Behrangi, A. Gupta, A. Tavakoly, A. Tavakoly, M. Geheran, G.-Y. Niu

“…<p>Soil moisture memory (SMM), which refers to how long a perturbation in soil moisture (SM) can last, is critical for understanding climatic, hydrological, and ecosystem interactions. Most land surface models (LSMs) tend to overestimate surface soil moisture and its persistency (or SMM), sustaining spuriously large soil surface evaporation during dry-down periods. …”
Get full text

Specific Features of Heatand Mass Transfer Processes in Road Dressings by B. M. Khroustalev, Tingguo Liu, V. D. Akeliev, Yu. H. Aliakseyeu, Jicun Shi, V. V. Zankovich

Get full text

Numerical Modeling on Ocean-Bottom Seismograph P-Wave Receiver Function to Analyze Influences of Seawater and Sedimentary Layers by Wenfei Gong, Hao Hu, Aiguo Ruan, Xiongwei Niu, Wei Wang, Yong Tang

Get full text

Assessment and application of melting-layer simulations for spaceborne radars within the RTTOV-SCATT v13.1 model by R. Mangla, R. Mangla, M. Borderies, P. Chambon, A. Geer, J. Hocking

Get full text

Hybrid and optimized neural network models to estimate the elastic modulus of recycled aggregate concrete by Mingke Zheng, Jinzhao Yin, Lei Zhang, Lihua Wu, Hao Liu

“…All in all, the MLPNN model with two numbers of hidden layers with a structure of 17-14-1 optimized with AOA can be proposed as the most appropriate model. …”
Get full text

Simulation of Soil Temperature and Humidity at Mado Station by CLM5.0 Model Encrypted Soil Layering Scheme by Yiqun BAO, Shihua LÜ, Zisha LIU

“…The source of the Yellow River is an important water conservation area in the Yellow River Basin， and it is of great significance to study the influence of different soil stratification on the simulation results of freeze-thaw process and to improve the model's simulation ability of water-heat transport process for the study of freeze-thaw process in the alpine region.In this paper， we use the observation data from Mado station in the Yellow River source area as the forcing field to drive the land surface model CLM5.0 （Community Land Model） to simulate in Mado station， and use the three improved soil layering schemes of CLM5.0 to simulate the influence of different soil layering on the soil freezing and thawing process， and compare the simulation results with the observations to analyze the influence of the improved layering schemes on the land surface model.CLM5.0 in the Yellow River source area in the process of freezing and thawing on the soil temperature and humidity simulation ability to improve the effect of the following conclusions： （1） adjusted three soil layering scheme on the simulation of soil temperature at Mardo station has a better effect of the improvement of the simulation of the three programs in the 30-layer program simulation of the best effect of the simulation， simulated values and the average correlation coefficient with the observed value reaches 0.954， the average root-mean-square error of 3.334 ℃ （2） The simulation effect of the three adjusted soil layering schemes on soil moisture at Mado station is also improved more significantly， which can accurately capture the seasonal changes of soil moisture in each layer in a whole year， affected by precipitation， the simulated values are not sufficiently relevant to the simulation of the troughs of the measured values， and the best simulation effect is achieved in the 30-layer scheme among the three schemes， with an average correlation coefficient of 0.770， and an average root-mean-square error of The average correlation coefficient is 0.770， and the average root mean square error is 0.039 m3·m-3； （3） For the simulation of the initial day of freezing and the initial day of ablation， the adjusted three different soil layers have obvious effects on the simulation of the freezing period and the ablation period， and the simulated initial day of freezing and the initial day of ablation of the shallow layer are in line with the observed values， while the simulation of the initial day of freezing and the initial day of ablation of the deeper layer is somewhat biased， with delays compared with the observed values， and the period of ablation is more persistent.…”
Get full text

Creep failure characteristics and damage creep model of red layer soft rock based on Perzyna viscoplastic theory by Lei Chen, Jinchi Han, Shuguang Zhang, Jiaxu Jin, Baoxin Jia, Jiashun Liu, Jupeng Tang

“…Meanwhile, based on the Nishihara model and Weibull distribution function and Perzyna viscoplastic theory, an improved viscoelastic-plastic creep model which can describe the whole process of rock creep failure was established. …”
Get full text

Dynamic Response of a Single-Layer Reticulated Dome during Aircraft Impact Based on S-J Modeling Method by Li Lin, Bo Huang, Yunhui Sun, Yu Zhu, Duozhi Wang

Get full text

Crystallization processes of thin polycrystalline layers of galium stybnide for thermophotovoltaic application by Yevgen Bahanov, Stanislav Shutov, Vadym Tsybulenko, Anatolii Levytskyi

Get full text

Operation of the Appliances Based-Demand Response Modeling in Smart Buildings by Yabing Li, Shaojie Zhang, Huili Guo, Yanli Zhou

“…The efficient operation of these appliances is modeled based on household usage patterns, the capacity for demand flexibility in demand-side management (DSM), and energy pricing. …”
Get full text

THE STOCHASTIC APPROACHES OF PROCESSES’ DESIGN IN VACUUM-PLASMA FORMATION OF NANOSTRUCTURED COATINGS by I. A. Ivanou, D. V. Valeysky, M. K. KasinskI

“…A theoretical model of the adsorption layer formation on the surface of the product with the reliance of the various simultaneous events on the condensation surface is offered.…”
Get full text

Semantic Reasoning Using Standard Attention-Based Models: An Application to Chronic Disease Literature by Yalbi Itzel Balderas-Martínez, José Armando Sánchez-Rojas, Arturo Téllez-Velázquez, Flavio Juárez Martínez, Raúl Cruz-Barbosa, Enrique Guzmán-Ramírez, Iván García-Pacheco, Ignacio Arroyo-Fernández

Get full text

Fault Diagnostic Method for Pump Running Conditions Based on Process Modeling and Neural Network by T. Uchiyama, S. Kallweit, H. Siekmann

“…The method is a combination of a process modeling and a classification procedure. The pump head and hydraulic losses in the pipe system are modeled by two equations. …”
Get full text

Optimization and transfer of robust primary drying protocols for biopharmaceuticals through lyophilization process modeling by Brecht Vanbillemont, Andrea Arsiccio, Tim Menzen, Andrea Hawe

“…This study extended the traditional modeling frameworks by incorporating an uncertainty analysis to account for process variability originating from process parameters and material attributes. …”
Get full text

Numerical modelling of rainfall-induced internal erosion process within vegetated deposited slopes by Xiaoqin Lei, Weiyu Zhang, Siming He, Shishu Zhang, Zongji Yang, Changbing Qin, Xiaoqing Chen

“…This paper presents a coupled seepage-erosion model to investigate the rainfall-induced internal erosion process within vegetated deposited slopes and its impact on slope stability. …”
Get full text

Biosphere–atmosphere related processes influence trace-gas and aerosol satellite–model biases by E. Sands, R. M. Doherty, F. M. O'Connor, F. M. O'Connor, R. J. Pope, R. J. Pope, J. Weber, D. P. Grosvenor, D. P. Grosvenor

“…</p> <p>The effects of several processes are studied to understand their impacts on satellite–model biases. …”
Get full text

Validation of modeling the delamination process of composite panels of load-bearing elements of aircraft structures by I. S. Belousov

“…The main purpose of this work is to present the results of validation of finite element models of the deformation process of structural elements made of layered composites with interlayer defects. …”
Get full text

Quantifying the oscillatory evolution of simulated boundary-layer cloud fields using Gaussian process regression by G. L. Oh, P. H. Austin

“…Identifying this behaviour, however, remains difficult due to the intrinsic variability within the boundary-layer cloud field. We apply a Gaussian process (GP) machine-learning model to the regression of the oscillatory behaviour in the statistical distributions of individual cloud properties. …”
Get full text

Mathematical Model for Quantitative Estimation of Thermophysical Properties of Flat Samples of Potatoes by Active Thermography at Varying Boundary Layer Conditions by Pavel Balabanov, Andrey Egorov, Alexander Divin, Alexander N. Pchelintsev

Get full text