scholarly journals On New Ideas for Design of Road Infrastructure: Hybrid Fatigue Analyses

2021 ◽  
Vol 11 (2) ◽  
pp. 759
Author(s):  
Amir M. Horr
Keyword(s):  
Research Work ◽  
Design Rule ◽  
Computationally Efficient ◽  
Road Infrastructure ◽  
Simulation Tools ◽  
Hybrid Techniques ◽  
New Ideas ◽  
Safety Features ◽  
Dynamic Zoning ◽  
Speed Accuracy

To increase the pace of the design of safer road infrastructure and raise the active and passive safety features of road structures on the global stage, innovative and smart virtual tools are essential. One of the basic steps for such ground breaking numerical simulation technology would be to develop advanced smart hybrid techniques with dynamic adaptation into mainstream design and simulation tools that are used by engineering offices. In the research work herein, a new numerical framework including dynamic zoning, advanced grid interfacing, new computationally-efficient solvers, and genetic algorithm symbolic-regression has briefly been presented to address long-standing problems of speed, accuracy, and reliability of numerical tools. The fundamental physical and mathematical aspects of the new simulation framework are concisely presented. In addition, some outcomes of real-world case studies utilized using the proposed hybrid analytical and data-driven (i.e., machine learning, ML) scheme have been shown, where the design rule for road gantry structures is interrogated using the developed virtual tool. One of the main contributions of this paper is to show the benefits of using hybrid simulation technologies to model engineering systems along with the ML-based method to optimize their designs.

A Multi-Purpose Method for SMA Actuator Development

2013 ◽  
Author(s):  
Sven Langbein ◽  
Alexander Czechowicz
Keyword(s):  
Standardized Testing ◽  
Shape Memory ◽  
Smart Materials ◽  
Research Work ◽  
Simulation Tools ◽  
Sma Actuators ◽  
Shape Memory Actuators ◽  
Computer Aided ◽  
Sma Actuator ◽  
Actual Shape

Shape memory alloys (SMA) are thermally activated smart materials. Due to their ability to change into a previously imprinted actual shape through the means of thermal activation, they are suitable as actuators for mechatronical systems. Despite of the advantages shape memory alloy actuators provide, these elements are only seldom integrated by engineers into mechatronical systems. Reasons are the complex characteristics, especially at different boundary conditions and the missing simulation- and design tools. Also the lack of knowledge and empirical data are a reason why development projects with shape memory actuators often lead to failures. Therefore, a need of developing methods, standardized testing of empirical properties and computer aided simulation tools is motivated. While computer-aided approaches have been discussed in further papers, as well as standardization potentials of SMA actuators, this paper focuses on a developing method for SMA actuators. The main part of the publication presents the logical steps which have to be passed, in order to develop an SMA actuator, considering several options like mechanical, thermal, and electrical options. As a result of the research work, the paper proves this method by one example in the field of SMA-valve technology.

Optimal Path Planning Using Swarm Intelligence Based Hybrid Techniques

2019 ◽  
Vol 16 (9) ◽  
pp. 3717-3727
Author(s):  
Monica Sood ◽  
Sahil Verma ◽  
Vinod Kumar Panchal ◽  
Kavita
Keyword(s):  
Path Planning ◽  
Swarm Intelligence ◽  
Optimal Path ◽  
Research Work ◽  
Bat Algorithm ◽  
Cuckoo Search ◽  
Planning Problem ◽  
Optimal Path Planning ◽  
Hybrid Techniques ◽  
Different Types

The planning of optimal path is an important research domain due to vast applications of optimal path planning in the robotics, simulation and modeling, computer graphics, virtual reality estimation and animation, and bioinformatics. The optimal path planning application demands to determine the collision free shortest and optimal path. There can be numerous possibilities that to find the path with optimal length based on different types of available obstacles during the path and different types of workspace environment. This research work aims to identify the optimum path from the initial source-point to final point for the unknown workspace environment consists of static obstacles. For this experimentation, swarm intelligence based hybrid concepts are considered as the work collaboration and intelligence behavior of swarm agents provides the resourceful solution of NP hard problems. Here, the hybridization of concepts makes the solution of problem more efficient. Among swarm intelligence concepts, cuckoo search (CS) algorithm is one of the efficient algorithms due to clever behavior and brood parasitic property of cuckoo birds. In this research work, two hybrid concepts are proposed. First algorithm is the hybridized concept of cuckoo search with bat algorithm (BA) termed as CS-BAPP. Another algorithm is the hybridized concept of cuckoo search with firefly algorithm (FA) termed as CS-FAPP. Both algorithms are initially tested on the benchmarks functions and applied to the path planning problem. For path planning, a real time dataset area of Alwar region situated at Rajasthan (India) is considered. The selected region consists of urban and dense vegetation land cover features. The results for the optimal path planning on Alwar region are assessed using the evaluation metrics of minimum number of iterations, error rate, success rate, and simulation time. Moreover, the results are also compared with the individual FA, BA, and CS along with the comparison of hybrid concepts.

Physics Mechanisms Involved in the Formation and Recrystallization of Amorphous Regions in Si through Ion Irradiation

2008 ◽  
Vol 139 ◽  
pp. 71-76 ◽  
Author(s):  
Iván Santos ◽  
Luis Alberto Marqués ◽  
Lourdes Pelaz ◽  
Pedro Lopez ◽  
María Aboy
Keyword(s):  
Molecular Dynamics ◽  
Ion Irradiation ◽  
Kinetic Monte Carlo ◽  
Ion Beam ◽  
Beam Current ◽  
Formation Mechanisms ◽  
Computationally Efficient ◽  
Simulation Tools ◽  
Multi Scale ◽  
Scale Modeling

We focus this work on multi-scale modeling of the ion-beam-induced amorphization and recrystallization in Si, although our scheme can be applied to other materials. We use molecular dynamics to study the formation mechanisms of amorphous regions. We have observed that along with energetic ballistic collisions that generate Frenkel pairs, low energy interactions can produce damage through the melting and quenching of target regions. By quantifying these results, we have developed an improved binary collision approximation model which gives a damage description similar to molecular dynamics. We have successfully applied our model to ion and cluster implantations. In order to define the energetic of defects in a more computationally efficient Kinetic Monter Carlo code, we have used molecular dynamics results related to the recrystallization behavior of local amorphous regions. The combination of all these simulation tools, molecular dynamics (fundamental studies of damage formation and recrystallization), improved binary collisions (including ballistic and melting-related damage) and Kinetic Monte Carlo (for efficient defect kinetics modeling during the implantation and the subsequent annealing), allows us to model the effect of ion mass, beam current and implant temperature on the amount and morphology of residual defects in Si.

scholarly journals A Literature Review of the Detection and Categorization of various Arecanut Diseases using Image Processing and Machine Learning Approaches

2021 ◽  
pp. 183-204
Author(s):  
Puneeth B. R. ◽  
Nethravathi P. S.
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Research Work ◽  
Machine Learning Techniques ◽  
Research Centre ◽  
Learning Approaches ◽  
Study Objective ◽  
Survey Paper ◽  
Multiple Data ◽  
New Ideas

Background/Purpose: Every scholarly research project starts with a survey of the literature, which acts as a springboard for new ideas. The purpose of this literature review is to become familiar with the study domain and to assess the work's credibility. It also improves with the subject's integration and summary. This article briefly discusses the detection of disease and classification to achieve the objectives of the study. Objective: The main objective of this literature survey is to explore the different techniques applied to identify and classify the various diseases on arecanut. This paper also recommends the methodology and techniques that can be used to achieve the objectives of the study. Design/Methodology/Approach: Multiple data sources, such as journals, conference proceedings, books, and research papers published in reputable journals, were used to compile the essential literature on the chosen topic and collect information from the arecanuts research centre and many farmers in the south Canara and Udupi districts, before narrowing down the literature that is relevant to the research work. The shortlisted literature was carefully assessed by reading each paper and taking notes as appropriate. The information gathered is then examined to identify the potential gap in the study. Findings/Result: Based on the analysis of the papers reviewed, discussion with farmers and research center officers, it is observed that, not much work is carried out in the field of disease identification and classification on arecanut using machine learning techniques. This survey paper recommends techniques and the methodology that can be applied to identify and classify the diseases in arecanut and to classify them in to healthy and unhealthy. Research limitations/implications: The literature review mentioned in this paper are detection and classification of different diseases in arecanut. Originality/Value: This paper focuses on various online research journals, conference papers, technical books, and web articles. Paper Type: Literature review paper on techniques and methods used to achieve the objectives.

scholarly journals Analysis of IRI value for assessment of optimum maintenance strategy for low traffic volume roads in Nepal

2017 ◽  
Vol 4 ◽  
pp. 41-46
Author(s):  
Ramesh Bala ◽  
Ghana Shyam Gautam ◽  
Gautam Bir Singh Tamrakar
Keyword(s):  
Operating Cost ◽  
Research Work ◽  
Google Earth ◽  
Traffic Volume ◽  
Maintenance Strategy ◽  
Road Infrastructure ◽  
Economic Decision ◽  
The Road ◽  
Spatial Coverage ◽  
Low Traffic

Road infrastructure is an important sector of economic activity for the development of a country. The road infrastructure is required to be maintained in proper condition to ensure its continuous utilization in proper manner. By proper maintenance of roads, continuous acceptability, a higher economy, safety and serviceability are gained. This research work was carried out through analysis of data collected from Department of Road (DoR) Nepal and surveyed through Google Earth. While analyzing data, data are categorized according to road type and pavement surface with spatial coverage. It mainly deals with the using of Road Economic Decision (RED) model, in which Highway Development and Management (HDM)-4 VOC model (Version 3.2) is used for computing coefficient of Vehicle Operating Cost (VOC) and RED Main Economic Decision model is used to compute value of International Roughness Index (IRI) for optimum maintenance strategy for strategic road network of Nepal with low traffic volume. The outcome of analysis will help the concern authority to make good decision on making priority and economical selection of maintenance strategy for the road having specified range of IRI value depending on the pavement type, surface type and volume of vehicle with spatial coverage.

scholarly journals Automatic Rice Leaf Disease Segmentation Using Image Processing Techniques

2018 ◽  
Vol 7 (3.27) ◽  
pp. 182 ◽  
Author(s):  
K S. Archana ◽  
Arun Sahayadhas
Keyword(s):  
Image Segmentation ◽  
Detection Method ◽  
Research Work ◽  
Automatic Detection ◽  
Brown Spot ◽  
Environmental Condition ◽  
Hybrid Techniques ◽  
Wide Range ◽  
Rice Leaves ◽  
Processing Techniques

Agriculture productivity mainly depends on Indian economy. Hence, Disease prediction plays a important role in agriculture field. In image analyzing the symptoms is an essential part for feature extraction and classification. However, some of the challenges are still lacking to predict the disease. To meet those challenges, the proposed algorithm focuses on a specific problem to predict the disease from early symptoms. Bacterial Leaf Blight and Brown Spot are a major bacterial and fungal disease respectively in rice (Oryza sativa) crops, it causes yield loss and reduce the grains quality. This research work focused on automatic detection method for image segmentation on rice leaves under wide range of environmental condition for further analysis. Various hybrid techniques for image segmentation and classification algorithms were analyzed and an automatic detection method has been proposed for identifying the specified diseases in rice leaves under different environmental condition.  

“Design and Optimization of Solar Absorber Tube Using CFD Analysis”

2018 ◽  
Vol 4 (3) ◽  
pp. 6
Author(s):  
Arun Jyoti ◽  
Dr. Prashant Baredar ◽  
Dr. Hitesh Kumar ◽  
Asst. Prof. Ambuj Kumar
Keyword(s):  
Literature Review ◽  
Solar Collector ◽  
Optimization Technique ◽  
Research Work ◽  
Parabolic Trough ◽  
Design And Optimization ◽  
Simulation Tools ◽  
Computational Fluids Dynamics ◽  
Large Scope ◽  
Parabolic Trough Solar Collector

Parabolic trough solar collector is a solar thermal collector which works on solar energy, the efficiency of this collector depends on the thermal energy of sun. The main objective of this work to present an upto date literature review on the parabolic trough solar collector. During the literature survey from the various research paper related to parabolic trough solar collector it has been observed that there is a lot of research work have been done in the same field and still there is a large scope to work on the parabolic trough solar collector. From the literature review it has been also observed that many authors worked on numerical as well as experimental setups, many of them use various optimization technique which was validate by various simulation tools like ANSYS, computational fluids dynamics tool Fluent and many more. 

Simulation Techniques for Ship Onboard Fire Safety

2009 ◽  
Author(s):  
Bhargab B. Dutta ◽  
Apurba R. Kar
Keyword(s):  
Research Work ◽  
External Support ◽  
Fire Growth ◽  
Transportation Industry ◽  
Fire Simulation ◽  
Ongoing Research ◽  
Simulation Tools ◽  
Simulation Techniques ◽  
Fire Scenarios ◽  
Fire Initiation

Unlike land based transportation/industry, ships sail in mid-ocean with very little or no access to external helps and supports to deal with fire accident on board. Fire is a significant threat to safety of ship, lives of the personnel onboard and cargo she carries. Fire on ships can also cause heavy damage to the marine environment. In case of fire initiation if the containment of fire is not efficient then it will not provide adequate time to make use of internal appliances or any possible external support to extinguish fire and result in a severe damage. So, it is important to predict the growth of fire and associated smoke propagation for all possible types and sources of fire. The prediction of fire growth and smoke propagation may be achieved by exercising simulation techniques. The provision of the prevention of fire propagation as prescribed in the presently applicable rules and regulations need investigation from the first principle. Also, the present rules are not explicit about the fire scenarios which have or have not been considered in the development of the rules. For the analysis of fire growth and smoke propagation in order to develop efficient evacuation process onboard a ship, there is a need to study the scenarios with the help of fire simulation techniques. As an ongoing research work, in this paper, the applicability of fire modeling techniques — Field Modeling and Zone Modeling, are investigated and a comparative study is made between both the techniques. The results are explained wherever necessary and future scope of the work is identified. An attempt has been made to define the accuracy level needed for fire simulation tools, considering present state of the art and limitations.

Add Control: plant virtualization for control solutions in WWTP

2013 ◽  
Vol 68 (2) ◽  
pp. 296-302 ◽  
Author(s):  
M. Maiza ◽  
A. Bengoechea ◽  
P. Grau ◽  
W. De Keyser ◽  
I. Nopens ◽  
...  
Keyword(s):  
Control Strategies ◽  
Research Work ◽  
Control Plant ◽  
Treatment Plant ◽  
Simulation Tools ◽  
Design And Implementation ◽  
Physico Chemical ◽  
Rapid Transition ◽  
Ultimate Objective ◽  
Models And Modelling

This paper summarizes part of the research work carried out in the Add Control project, which proposes an extension of the wastewater treatment plant (WWTP) models and modelling architectures used in traditional WWTP simulation tools, addressing, in addition to the classical mass transformations (transport, physico-chemical phenomena, biological reactions), all the instrumentation, actuation and automation & control components (sensors, actuators, controllers), considering their real behaviour (signal delays, noise, failures and power consumption of actuators). Its ultimate objective is to allow a rapid transition from the simulation of the control strategy to its implementation at full-scale plants. Thus, this paper presents the application of the Add Control simulation platform for the design and implementation of new control strategies at the WWTP of Mekolalde.

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