A microscale bone remodeling simulation method considering the influence of medicine and the impact of strain on osteoblast cells

2015 ◽  
Vol 104 ◽  
pp. 16-25 ◽  
Author(s):  
Wei Yi ◽  
Cheng Wang ◽  
Xiaohu Liu
Keyword(s):  
Bone Remodeling ◽  
Simulation Method ◽  
Osteoblast Cells ◽  
Bone Remodeling Simulation ◽  
The Impact

Nanostructured bone-like scaffolds for restoration of trabecular bone remodeling capability

2011 ◽  
Vol 59 (1) ◽  
pp. 57-61
Author(s):  
M. Nowak ◽  
I. Firkowska ◽  
M. Giersig
Keyword(s):  
Trabecular Bone ◽  
Bone Remodeling ◽  
Material Properties ◽  
Theoretical Study ◽  
Simulation Method ◽  
Tissue Growth ◽  
Artificial Tissue ◽  
Bone Remodeling Simulation ◽  
Natural Tissue ◽  
Trabecular Bone Remodeling

Nanostructured bone-like scaffolds for restoration of trabecular bone remodeling capabilityThis paper presents the theoretical study about carbon nanotube substrates for tissue engineering and its applications. Because the replacement of bone tissue with artificial tissue can violate the remodeling process completely, the artificial material should not only consist of the same material properties, but also exhibit other characteristics which are equally important and need to be taken into consideration. These are above all the mechanosensation. Besides replacing natural tissue, the nanostructured scaffolds presented in the paper can help the tissue growth by stimulating this process. The developed trabecular bone remodeling simulation method responsible for the nanostructured scaffold behavior is implemented here. Thus, the nanostructured bone-like scaffolds reflect the remodeling capability of the biological system, not only due to their application as replacement of natural tissue, but also due to their effects in the field of mechanosensation.

Stochastic simulation for determining the design flood of cascade reservoir systems

2012 ◽  
Vol 43 (1-2) ◽  
pp. 54-63 ◽  
Author(s):  
Baohong Lu ◽  
Huanghe Gu ◽  
Ziyin Xie ◽  
Jiufu Liu ◽  
Lejun Ma ◽  
...  
Keyword(s):  
Simulation Model ◽  
Stochastic Simulation ◽  
Southern China ◽  
Flow Simulation ◽  
Simulation Method ◽  
Simulation Approach ◽  
Design Flood ◽  
Design Values ◽  
Stochastic Simulation Model ◽  
The Impact

Stochastic simulation is widely applied for estimating the design flood of various hydrosystems. The design flood at a reservoir site should consider the impact of upstream reservoirs, along with any development of hydropower. This paper investigates and applies a stochastic simulation approach for determining the design flood of a complex cascade of reservoirs in the Longtan watershed, southern China. The magnitude of the design flood when the impact of the upstream reservoirs is considered is less than that without considering them. In particular, the stochastic simulation model takes into account both systematic and historical flood records. As the reliability of the frequency analysis increases with more representative samples, it is desirable to incorporate historical flood records, if available, into the stochastic simulation model. This study shows that the design values from the stochastic simulation method with historical flood records are higher than those without historical flood records. The paper demonstrates the advantages of adopting a stochastic flow simulation approach to address design-flood-related issues for a complex cascade reservoir system.

scholarly journals Erosion Transportation Processes as Influenced by Gully Land Consolidation Projects in Highly Managed Small Watersheds in the Loess Hilly–Gully Region, China

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1540
Author(s):  
Qianqian Ji ◽  
Zhe Gao ◽  
Xingyao Li ◽  
Jian’en Gao ◽  
Gen’guang Zhang ◽  
...  
Keyword(s):  
Similarity Theory ◽  
Design Method ◽  
Simulation Method ◽  
Practical Significance ◽  
Land Consolidation ◽  
Small Watershed ◽  
Flood Peak ◽  
Erosion Area ◽  
The Impact ◽  
Erosion Environment

The Loess Hilly–Gully region (LHGR) is the most serious soil erosion area in the world. For the small watershed with high management in this area, the scientific problem that has been paid attention to in recent years is the impact of the land consolidation project on the erosion environment in the gully region. In this study, the 3D simulation method of vegetation, eroded sediment and pollutant transport was innovated based on the principles of erosion sediment dynamics and similarity theory, and the impacts of GLCP were analyzed on the erosion environment at different scales. The verification results show that the design method and the scale conversion relationship (geometric scale: λl = 100) were reasonable and could simulate the transport process on the complex underlying surface of a small watershed. Compared with untreated watersheds, a significant change was the current flood peak lagging behind the sediment peak. There were two important critical values of GLCP impact on the erosion environment. The erosion transport in HMSW had no change when the proportion was less than 0.85%, and increased obviously when it was greater than 3.3%. The above results have important theoretical and practical significance for watershed simulation and land-use management in HMSW.

scholarly journals Sustainability of Extraction of Raw Material by a Combination of Mobile and Stationary Mining Machines and Optimization of Machine Life Cycle

2020 ◽  
Vol 12 (24) ◽  
pp. 10454
Author(s):  
Katarína Teplická ◽  
Martin Straka
Keyword(s):  
Life Cycle ◽  
Raw Materials ◽  
Simulation Method ◽  
Raw Material ◽  
Optimal Distribution ◽  
Transport Costs ◽  
Scientific Discussion ◽  
Mining Companies ◽  
Conveyor Belts ◽  
The Impact

This article summarizes the arguments within the scientific discussion on the issue of using mining machines and their life cycle. The main goal of the article is to investigate the impact of a combination of mobile and stationary mining machines and their optimal distribution in the mining process to increase the efficiency of mining and processing of raw materials. The following methods of research were focused on the use of technical indicators for the valuation efficiency of the mining process: a simulation method was used for the distribution of mining machines, comparison analysis was used for the real and past state of mining machines, and a decision tree was used as managerial instrument for optimal alternatives of mining machines. The research empirically confirms and theoretically proves that optimal distribution of mining machines and machine parks is very important for mining companies. The benefit of this research for the mining company was the new location of the machines and the combination of stationary production lines and mobile equipment. The optimal layout of the machines reduced the number of conveyor belts and improved the transfer of limestone processing to mobile devices, saving time, which was reflected in transport costs. The results can be useful for other mining companies seeking to create an optimal machine park.

scholarly journals The impact of excess body fat on bone remodeling in adolescents

2016 ◽  
Vol 28 (3) ◽  
pp. 1053-1062
Author(s):  
L. N. Mosca ◽  
T. B. L. Goldberg ◽  
V. N. da Silva ◽  
C. S. Kurokawa ◽  
A. C. B. Rizzo ◽  
...  
Keyword(s):  
Bone Remodeling ◽  
Body Fat ◽  
The Impact

The Influence of Underpass on Surface Subsidence Caused by Double-Tube Shield Tunneling

2014 ◽  
Vol 915-916 ◽  
pp. 108-113
Author(s):  
Wei Kai Zong
Keyword(s):  
Simulation Method ◽  
Surface Subsidence ◽  
Channel Width ◽  
Ground Movement ◽  
Shield Tunnel ◽  
Underground Structures ◽  
Shield Tunneling ◽  
Underground Channel ◽  
Underground Passage ◽  
The Impact

Shield construction will cause surface subsidence, and the presence of underground structures above the tunnel has an impact on surface subsidence. Based on this, with the engineering of undercross shield tunnel construction on railway station as background, used numerical simulation method to analyze the effect of surface subsidence of underground passage, and studied the influence of depth and width of underpasses on ground movement induced. The results show that: The impact of the underground passage to the wire surface subsidence caused by the shield cannot be ignored. Surface subsidence caused by double shield will be decreased because of the existence of the underground passage, and that related to the channel depth and width. The greater the depth of underground channel, the greater the surface subsidence; greater the underground channel width, the smaller surface subsidence. Meanwhile, the surface subsidence trough width and the largest settlement scope unrelated to the depth of underground tunnels but the underground channel width, and increases with the increasing of the underpass width.

Study on the Impact of Inner Anchorage on Waterway Traffic Capacity

2013 ◽  
Vol 438-439 ◽  
pp. 2013-2016 ◽  
Author(s):  
Wen Yuan Wang ◽  
Guo Lei Tang ◽  
Zi Jian Guo ◽  
Xiang Qun Song ◽  
Peng Cheng Du
Keyword(s):  
Theoretical Foundation ◽  
Container Terminal ◽  
Simulation Method ◽  
Container Terminals ◽  
Major Constraint ◽  
Traffic Capacity ◽  
Overall Performance ◽  
The Impact

As the number of calling ships in container terminals rises, waterways in some harbors have become the major constraint to the overall performance of the ports service. By constructing anchorages, the congestion that happens frequently in harbor can be effectively eased, thus the traffic capacity is greatly enhanced. The purpose of this paper is to study the impact of anchorage number on waterway traffic capacity and provide theoretical foundation when deciding the anchorage scale. A simulation method with consideration of anchorages is adopted to analyze the vessels entering and departing process in coastal container terminal. Results show that waterway traffic capacity and anchorage number are polynomial correlated, waterway traffic capacity increases with the growth of anchorage number and ceases when beyond a certain level. It will be of great help to serve the planning and constructing ports and terminals.

scholarly journals A Real Options Model to Value Offshore Wind Power Project under Market Linkage Mechanism

2019 ◽  
pp. 1-13
Author(s):  
Yiqing Li ◽  
Weiguo Yang ◽  
Lixin Tian
Keyword(s):  
Sensitivity Analysis ◽  
Real Options ◽  
Wind Power ◽  
Simulation Method ◽  
Offshore Wind ◽  
Linkage Mechanism ◽  
Offshore Wind Power ◽  
Market Linkage ◽  
The Impact ◽  
Power Project

This study puts forward a real options model and uses it to evaluate the investment value of offshore wind power project under market co-movement effect. The main purpose is to check investment benefit of offshore wind power project, as an investor. Several uncertainties are taken into account, including investment costs, feed-in tariffs, carbon prices and policy subsidy. Moreover, an additional uncertain factor, i.e. the market linkage of investment costs, is considered. As a case study, Jiangsu Xiangshui offshore wind park is used to illustrate the model in scenario analysis. Using a least-squares Monte Carlo simulation method, we obtain that the project value is negative. Therefore investors should abandon or postpone investment until better conditions prevail. Furthermore, this paper shows sensitivity analysis of the impact of uncertain factors on the project value. Especially sensitivity analysis of variable costs, it shows a certain impact on project value in here, which has been ignored in previous real options studies. The research results would be helpful for renewable energy project assessment and the decision-making process associated with it.

Monte Carlo method for uncertainty evaluation of noise annoyance prevalence

2021 ◽  
Vol 263 (2) ◽  
pp. 3944-3952
Author(s):  
Ricardo Luís d'Avila Villela
Keyword(s):  
Monte Carlo ◽  
Noise Pollution ◽  
Simulation Method ◽  
Health Issues ◽  
Uncertainty Sources ◽  
Exposure Response ◽  
Density Maps ◽  
Noise Impact ◽  
The Right ◽  
The Impact

When a decision-making process relies on the information provided by a measurement or simulation result, the right decision demands a good quality result, in other words, a low uncertainty result. In order to establish public policies for environmental noise control, it is essential to identify the impact of each type of noise pollution (e.g. road, aircraft and rail transportation noise) on the population affected. One of the noise impact metrics that can be used is the number of highly noise annoyed people in a region whose estimated value is obtained from the corresponding exposure-response function and noise and population density maps. However, an estimated value of the noise impact metric with high uncertainty makes it difficult to realize the actual severity of the problem and its priority in relation to other public health issues. In this work, a Monte Carlo simulation method is used to assess the uncertainty of a noise impact metric result, namely the number of people highly disturbed by road noise in a city. This article also presents a sensitivity analysis of uncertainty sources that allows quantification of the main uncertainty components, which supports improvements in noise impact metric results.

A RESILIENCE-BASED ASSESSMENT OF THE PERFORMANCE OF RESIDENTIAL COMMUNITIES SUBJECT TO HURRICANE HAZARD

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ahmed U. Abdelhady ◽  
Seymour M.J. Spence ◽  
Jason McCormick
Keyword(s):  
Community Resilience ◽  
Recovery Process ◽  
Simulation Method ◽  
Wind Pressure ◽  
Community Recovery ◽  
Recovery Function ◽  
Residential Neighborhood ◽  
Hurricane Hazard ◽  
Hurricane Vulnerability ◽  
The Impact

Hurricanes are among the most devastating and costliest natural hazards. This devastating impact urged governments and policymakers to implement mitigation plans and strategies that can enhance the community’s resilience against hurricanes. A fundamental step to gauge the performance and effectiveness of these mitigations plans is to develop computational frameworks that can provide a probabilistic assessment of the resilience of the community. Therefore, this paper presents a framework to probabilistically estimate the resilience of residential wooden buildings against hurricane winds. The framework estimates the post-hurricane damage due to dynamic wind pressure and the impact of windborne debris using an engineering-based hurricane vulnerability. The building recovery function is then estimated by integrating the estimated damage with a building-level recovery model. By aggregating building recovery functions, the community recovery function is obtained. The Monte Carlo simulation method is used to account for uncertainties related to the hazard intensity, community vulnerability, and recovery process. The framework is applied to a residential neighborhood in Miami, FL. This framework can help decision-makers to compare current community resilience with target levels, identify the gap, and set strategies to improve community resilience.

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