Design and implementation of a cloud computing service for finite element analysis

Arı, İsmail; Muhtaroglu, Nitel

doi:10.1016/j.advengsoft.2012.10.003

Cited by 40 publications

(27 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The economic impact can be increased through an emerging paradigm that combines virtual product design and testing based on cloud-based online services [18], [19], which is currently and dominantly based on offline engineering toolsets. This integration, which will occur both at the level of product development and at the level of verification/certification standards can enhance the entire chain of R&D&I extended with verification (R&D&I&V) behind the entire PLM workflow.…”

Section: Integrated Online Ecosystem For Agile Design-verificatimentioning

confidence: 99%

Testing and verification through virtual product models: A survey and look ahead

Serester

Hidas

Szögi

et al. 2015

2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES)

View full text Add to dashboard Cite

Abstract-Modern engineering design and simulation software (CAD, CAM, CAE) allow for extensive use of virtual prototypes along the product and production development reducing the cost and time of physical prototyping. These software technologies in turn has also important role in testing and verification against the various regulations. This paper reviews the recent progress of virtual verification (ViVer) technology and the underlying emerging concepts with special focus on the role of certification service providers. The paper covers multiple aspects of the ViVer concept serving as a conceptual guideline for the development of virtual verification systems of the future.

show abstract

Section: Integrated Online Ecosystem For Agile Design-verificatimentioning

confidence: 99%

Testing and verification through virtual product models: A survey and look ahead

Serester

Hidas

Szögi

et al. 2015

2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES)

View full text Add to dashboard Cite

show abstract

“…In terms of service pattern, Sun et al designed and implemented the hydrological simulation and water resources management in the cloud computing model for the specific application requirements of distributed hydrological modeling and water resources monitoring [7,8]. Ari and Muhtaroglu designed the cloud service framework of finite element simulation and implemented some modules [9]. Zhang and Wang proposed the technology architecture of an integrated management information platform in water conservancy engineering based on cloud computing technology [10].…”

Section: Application Of Cloud Computing In Water Conservancy Industrymentioning

confidence: 99%

Cloud/Fog Computing System Architecture and Key Technologies for South‐North Water Transfer Project Safety

Zhu

Liu

2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In view of the real-time and distributed features of Internet of Things (IoT) safety system in water conservancy engineering, this study proposed a new safety system architecture for water conservancy engineering based on cloud/fog computing and put forward a method of data reliability detection for the false alarm caused by false abnormal data from the bottom sensors. Designed for the South-North Water Transfer Project (SNWTP), the architecture integrated project safety, water quality safety, and human safety. Using IoT devices, fog computing layer was constructed between cloud server and safety detection devices in water conservancy projects. Technologies such as real-time sensing, intelligent processing, and information interconnection were developed. Therefore, accurate forecasting, accurate positioning, and efficient management were implemented as required by safety prevention of the SNWTP, and safety protection of water conservancy projects was effectively improved, and intelligential water conservancy engineering was developed. BackgroundWater conservancy engineering presents the national fundamental industry and is vital in national economic development. The construction of water conservancy projects is generally large in scale, with high investment, wide geographical distribution, and decentralized management, in a long construction period and contains a large amount of information. It may be also affected by unfavorable terrain conditions, complex geological structure, and flood, which increase the difficulty in supervision. Therefore, the construction of Internet safety information system is of great significance for improving safety monitoring and ensuring project safety and water quality safety in water conservancy engineering.With the rapid development of Internet of Things (IoT) technology in recent years, an important source of big data is the tremendous amount of data that are collected, transferred, stored, and processed through the IoT system [1][2][3]. Due to the general dense geographical distribution of water conservancy projects, the IoT-based data in water conservancy engineering have typical geographical attributes.Taking the Middle Route of the SNWTP as an example, its main line starts at Taocha Sluice of Danjiangkou Reservoir, crosses the Yangtze River, Huaihe River, Yellow River, and Haihe River, passes through Provinces of Henan, Hebei, Beijing and Tianjin, and provides water for tens of large-and medium-sized cities, like Pingdingshan, Xuchang, Zhengzhou, Jiaozuo, Xinxiang, Hebi, Anyang, Handan, Xingtai, Shijiazhuang, Baoding, Beijing, Tianjin, and so on. Therefore, it is necessary to build the safety information network system for the water conservancy project.Combined with the research work of the National Major Project "Research and Development of Sensor Network Technology Oriented to the Safety of the South-North Water Transfer Project (SNWTP)," this study investigated the cloud/fog network system architecture for project safety of the Middle Route of SNWTP. This paper first ana...

show abstract

“…Many have chosen to integrate software tools for engineering design into a web based interface resulting in one unified piece of software accessible and usable by all collaborators and the ability to easily implement high performance computing without having to have onsite access to the compute power. [20][21][22][23][24][25][26] A collection of tools has been developed within these unified systems or as stand-alone pieces of software that generate and swiftly analyze designs during conceptual design phase. The capabilities of these tools have included algorithms that make design decisions based upon previous experiences, 27,28 automatic mesh generation for the design of concepts, 29 graphs that quickly present pertinent information based upon user generated concepts, 30 and structural analysis of generated concepts.…”

Section: B Engineering Design Workflowsmentioning

confidence: 99%

Developing an Integrated Computational Environment for the Detailed Design of a Mixing Impeller

Sloan

Suram

Bryden

2014

52nd Aerospace Sciences Meeting

View full text Add to dashboard Cite

Digital manufacturing significantly reduces the expense and time required to produce custom products. Utilizing this technology, a customized product can be quickly manufactured. But the timescale and expense of the engineering design workflows used to develop these customized products have not been adapted from the workflows used in mass production due to the development of high fidelity models. But with digital manufacturing the economies of scale are eliminated such that producing many unique designs or many of the same designs result in the same manufacturing cost. Developing a design workflow that utilizes the developed and validated high fidelity models of the already produced design can reduce the amount of time and expense developing a slightly varied customized design. Reduced order modeling enables this reuse and magnification of existing high fidelity models by creating a computationally inexpensive representation of a model from high fidelity data. This thesis explores the integration of reduced order modeling and detailed analysis into the engineering design workflow developing a customized design using digital manufacturing. Specifically detailed analysis is coupled with proper orthogonal decomposition to enable the exploration of the design space while simultaneously shaping the model representing the design. This revised workflow is examined using the design of a laboratory scale overhead mixing impeller. The case study presented here is compared with the design of the Kar Dynamic Mixer developed by the Dow Chemical Company. The result of which is a customized design for a refined set of operating conditions with improved performance. Digital manufacturing significantly reduces the expense and time required to produce custom products. Utilizing this technology, a customized product can be quickly manufactured. But the timescale and expense of the engineering design workflows used to develop these customized products have not been adapted from the workflows used in mass production due to the development of high fidelity models. But with digital manufacturing the economies of scale are eliminated such that producing many unique designs or many of the same designs result in the same manufacturing cost. Developing a design workflow that utilizes the developed and validated high fidelity models of the already produced design can reduce the amount of time and expense developing a slightly varied customized design. Reduced order modeling enables this reuse and magnification of existing high fidelity models by creating a computationally inexpensive representation of a model from high fidelity data. This thesis explores the integration of reduced order modeling and detailed analysis into the engineering design workflow developing a customized design using digital manufacturing. Specifically detailed analysis is coupled with proper orthogonal decomposition to enable the exploration of the design space while simultaneously shaping the model representing the design. This revised workflow is examined ...

show abstract

Design and implementation of a cloud computing service for finite element analysis

Cited by 40 publications

References 18 publications

Testing and verification through virtual product models: A survey and look ahead

Testing and verification through virtual product models: A survey and look ahead

Cloud/Fog Computing System Architecture and Key Technologies for South‐North Water Transfer Project Safety

Developing an Integrated Computational Environment for the Detailed Design of a Mixing Impeller

Contact Info

Product

Resources

About