Visual Dynamic Simulation Based Optimal Scheduling of RCC Dam Construction Management

2009 ◽  
Author(s):  
Chunju Zhao ◽  
Yihong Zhou ◽  
Hui An
Keyword(s):  
Dynamic Simulation ◽  
Construction Management ◽  
Optimal Scheduling ◽  
Dam Construction ◽  
Rcc Dam ◽  
Simulation Based

Dynamic Simulation-Based Case Study of Fusion on Small-Scale Electrical Grids

2015 ◽  
Vol 68 (2) ◽  
pp. 341-345 ◽  
Author(s):  
Shutaro Takeda ◽  
Satoshi Konishi ◽  
Yasushi Yamamoto ◽  
Ryuta Kasada ◽  
Shigeki Sakurai
Keyword(s):  
Dynamic Simulation ◽  
Small Scale ◽  
Electrical Grids ◽  
Simulation Based

scholarly journals Fast Dynamic Simulation-Based Small Signal Stability Assessment and Control

2014 ◽  
Author(s):  
Naresh Acharya ◽  
Chaitanya Baone ◽  
Santosh Veda ◽  
Jing Dai ◽  
Nilanjan Chaudhuri ◽  
...  
Keyword(s):  
Dynamic Simulation ◽  
Small Signal ◽  
Stability Assessment ◽  
Small Signal Stability ◽  
Signal Stability ◽  
Simulation Based ◽  
And Control ◽  
Fast Dynamic

scholarly journals Discovery of Potential Anti-Ischemic Stroke Agents Through Inhibiting Sulfonylurea Receptor 1 (SUR1): A Pharmacophore-based Screening, Docking, and Molecular Dynamic Simulation

2021 ◽  
Vol 12 (5) ◽  
pp. 6915-6932
Keyword(s):  
Ischemic Stroke ◽  
Molecular Dynamic Simulation ◽  
Molecular Dynamic ◽  
Dynamic Simulation ◽  
Sulfonylurea Receptor ◽  
Brain Membrane ◽  
Simulation Based ◽  
Intact Brain ◽  
Docking Energy

Stroke is the leading cause of disability and death worldwide. Inhibition of sulfonylurea 1 receptor (SUR1) using glibenclamide previously has been studied in CNS ischemic tissues and faster recovery from stroke injury in different animal models of stroke. Unfortunately, glibenclamide cannot enter the brain through an intact brain membrane (BBB) due to its ionization at physiological pH. Therefore, it was hypothesized that compounds with structural properties similar to glibenclamide but with the ability to penetrate through BBB would be superior to glibenclamide in ischemic stroke. Docking energy and interactions of glibenclamide with SUR1 active site were assessed using AutoDock Vina. NCI databases search engines with limitations for penetration to CNS were used to find the best compounds with desired properties. Then two selected compounds were assessed with dynamic molecular studies. Two compounds called CID-415537 and CID-419074 with docking energies of -10.3 kcal/mol and -11 kcal/mol were identified. CID-415537 was selected as the best compound due to its proper interactions with SUR1 amino acids and stability in molecular dynamic simulation. Based on this study, compound CID-415537 would be a good candidate for a SUR1 inhibitor in ischemic stroke. However, further in vivo investigations are required to confirm these findings.

3-D fracture network dynamic simulation based on error analysis in rock mass of dam foundation

2018 ◽  
Vol 25 (4) ◽  
pp. 919-935 ◽  
Author(s):  
Deng-hua Zhong ◽  
Han Wu ◽  
Bin-ping Wu ◽  
Yi-chi Zhang ◽  
Pan Yue
Keyword(s):  
Rock Mass ◽  
Error Analysis ◽  
Dynamic Simulation ◽  
Fracture Network ◽  
Network Dynamic ◽  
Dam Foundation ◽  
Simulation Based

Level Mobile Shot Blasting Machine Shot Blasting Wheel in the Dynamic Simulation Based on ADAMS

2011 ◽  
Vol 148-149 ◽  
pp. 837-841
Author(s):  
Dan Zhang ◽  
Yuan Lin Liu ◽  
Hong Tao Li
Keyword(s):  
Simulation Model ◽  
Dynamic Simulation ◽  
Mechanical Model ◽  
Shot Blasting ◽  
Air Resistance ◽  
Simulation Based ◽  
Dynamic Simulation Model ◽  
External Forces ◽  
Machine Analysis ◽  
Speed Of Analysis

The level of mobile shot blasting machine analysis, a mechanical model of the projectile with the blade and shot rounds of dynamic simulation model, the model by imposing constraints and external forces, analysis of air resistance, friction, blade length and projectile diameter of throw playing speed. Played by the speed of analysis can throw further analysis of various parameters on the effect of throwing fight.

Simulation of a nitrification control concept considering influent ammonium load

2002 ◽  
Vol 45 (4-5) ◽  
pp. 413-420 ◽  
Author(s):  
K. Krause ◽  
K. Böcker ◽  
J. Londong
Keyword(s):  
Wastewater Treatment ◽  
Feedback Control ◽  
Dynamic Simulation ◽  
Feedforward Control ◽  
Treatment Plant ◽  
Grab Sample ◽  
Simulation Based ◽  
Control Concept ◽  
Control Configuration ◽  
Nitrogen Elimination

Buchenhofen wastewater treatment plant of Wupperverband (650,000 p.e.) is currently being expanded for targeted nitrogen elimination. In view of the limited space available for extension, an optimized control concept is to be used in order to minimize the number of additional tanks required. This concept was investigated by dynamic simulation based on Activated Sludge Model No. 1. The investigations included a pure feedback control configuration and a configuration combining feedback und feedforward control, considering the influent ammonium load, for aeration. The results show that combined feedforward/feedback control has significant advantages over pure feedback control. In particular, this configuration allows a reduction in the effluent NH4-N peaks, which is especially important because of the low NH4-N limit of 5 mg NH4-N/L in a grab sample.

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