scholarly journals AJA method and AJA Canvas as a Design Tool for Autonomous Operations

2018 ◽  
Author(s):  
Marialena Vagia ◽  
Esten Ingar Grøtli ◽  
Aksel A. Transeth ◽  
Magnus Bjerkeng ◽  
Fredrik Haugli ◽  
...  
Keyword(s):  
Waste Water ◽  
Design Procedure ◽  
Job Analysis ◽  
Design Guidelines ◽  
Design Tool ◽  
Use Case ◽  
Case Scenario ◽  
Autonomous Operation ◽  
Autonomous Behavior ◽  
Daunting Task

Several design methods and principles have been presented so far, in order to guide the design of autonomous operations. Putting the required efforts into learning and using the methods for designing autonomous operations is a daunting task. Experiences so far have shown that the use of methods meant to the help the design process are often ignored. One reason could be that the design guidelines are too complex and contain much information often not relevant for the project at hand, and therefore there is no easy way to distinguish what is important from what is not. This is an issue that needs to be solved with our approach. In this article, the Autonomous Job Analysis (AJA) method is presented. The proposed methodology is created in order to guide the design of autonomous operations in maritime systems by breaking them down in to sub-operations in order to reveal challenges, needs and limitations regarding autonomous behavior. The canvas contains the categories of the AJA method on a single page format -the canvas- and each category is supported with questions to be asked during the design procedure, as well as example answers. We will describe the AJA method and the AJA canvas in detail, and present a use case scenario of an autonomous operation in order to show how they can be applied. The particular use-case is the design of an autonomous operation for the detection, inspection and tracking of a waste water plume.

scholarly journals AJA method and AJA Canvas as a Design Tool for marine Autonomous Operations with a test case scenario: the detection, inspection and tracking of a waste-water plume

2019 ◽  
Vol 1357 ◽  
pp. 012030
Author(s):  
Marialena Vagia ◽  
Esten Ingar Grøtli ◽  
Fredrik Bakkevig Haugli ◽  
Magnus Bjerkeng ◽  
Gorm Johansen
Keyword(s):  
Waste Water ◽  
Design Tool ◽  
Test Case ◽  
Case Scenario

METAMODELING METHODOLOGY FOR POSTBUCKLING SIMULATION OF DAMAGED COMPOSITE STIFFENED STRUCTURES WITH PHYSICAL VALIDATION

2010 ◽  
Vol 10 (04) ◽  
pp. 705-716 ◽  
Author(s):  
KASPARS KALNINS ◽  
ROLANDS RIKARDS ◽  
JANIS AUZINS ◽  
CHIARA BISAGNI ◽  
HAIM ABRAMOVICH ◽  
...  
Keyword(s):  
Composite Structures ◽  
Design Procedure ◽  
Computer Experiments ◽  
Design Guidelines ◽  
Design Tool ◽  
Piecewise Linear Approximation ◽  
Stiffened Panel ◽  
Response Curves ◽  
Damage Scenarios ◽  
Stiffened Structures

A metamodeling methodology has been proposed for postbuckling simulation of stiffened composite structures with integrated degradation scenarios. The presence of artificial damage between the outer skin and stiffeners has been simulated as softening of the material properties in predetermined regions of the structure. The proposed methodology for the fast design procedure of axially or torsionally loaded stiffened composite structures is based on response surface methodology (RSM) and design and analysis of computer experiments (DACE). Numerical analyses have been parametrically sampled by means of the ANSYS/LS-DYNA probabilistic design toolbox extracting the load-shortening response curves in the preselected domain of interest. These response curves have been simplified using piecewise linear approximation identifying the buckling and postbuckling stiffness ratios along with the values of the skin and the stiffener buckling loads. Three stiffened panel designs and a closed box structure with preselected damage scenarios have been elaborated and validated with the tests performed within the COCOMAT project. The resulting design procedure provides a time-effective design tool for preliminary study and for elaboration of the optimum design guidelines for composite stiffened structures with material degradation restraints.

Flexural design of precast, prestressed ultra-high-performance concrete members

PCI Journal ◽  
2020 ◽  
Vol 65 (6) ◽  
pp. 35-61
Author(s):  
Chungwook Sim ◽  
Maher Tadros ◽  
David Gee ◽  
Micheal Asaad
Keyword(s):  
Prestressed Concrete ◽  
High Performance ◽  
High Performance Concrete ◽  
Limit State ◽  
Design Guidelines ◽  
Design Tool ◽  
Supplementary Cementitious Materials ◽  
Ultra High Performance Concrete ◽  
Concrete Members ◽  
Cylinder Strength

Ultra-high-performance concrete (UHPC) is a special concrete mixture with outstanding mechanical and durability characteristics. It is a mixture of portland cement, supplementary cementitious materials, sand, and high-strength, high-aspect-ratio microfibers. In this paper, the authors propose flexural design guidelines for precast, prestressed concrete members made with concrete mixtures developed by precasters to meet minimum specific characteristics qualifying it to be called PCI-UHPC. Minimum specified cylinder strength is 10 ksi (69 MPa) at prestress release and 18 ksi (124 MPa) at the time the member is placed in service, typically 28 days. Minimum flexural cracking and tensile strengths of 1.5 and 2 ksi (10 and 14 MPa), respectively, according to ASTM C1609 testing specifications are required. In addition, strain-hardening and ductility requirements are specified. Tensile properties are shown to be more important for structural optimization than cylinder strength. Both building and bridge products are considered because the paper is focused on capacity rather than demand. Both service limit state and strength limit state are covered. When the contribution of fibers to capacity should be included and when they may be ignored is shown. It is further shown that the traditional equivalent rectangular stress block in compression can still be used to produce satisfactory results in prestressed concrete members. A spreadsheet workbook is offered online as a design tool. It is valid for multilayers of concrete of different strengths, rows of reinforcing bars of different grades, and prestressing strands. It produces moment-curvature diagrams and flexural capacity at ultimate strain. A fully worked-out example of a 250 ft (76.2 m) span decked I-beam of optimized shape is given.

INTEGRATING DATA MINING TO A PROCESS DESIGN USING THE ROBUST BAYESIAN APPROACH

2008 ◽  
Vol 15 (05) ◽  
pp. 441-464 ◽  
Author(s):  
HEAJIN JEONG ◽  
SUHILL SONG ◽  
SANGMUN SHIN ◽  
BYUNG RAE CHO
Keyword(s):  
Data Mining ◽  
Process Design ◽  
Research Work ◽  
Design Procedure ◽  
Design Tool ◽  
Raw Data ◽  
Correlation Based Feature Selection ◽  
Vital Component ◽  
Process Database ◽  
Noise Factors

Although process design optimization issues have received considerable attention from researchers for more than several decades, and a number of methodologies for modeling and optimizing the process have been developed, there is still ample room for improvement. Most research work has rarely considered the use of raw data from a manufacturing process database into the process design. However, the use of cumulative raw data can be a vital component in optimizing processes. To address this, we propose a new process design procedure called robust-Bayesian data mining (RBDM). First, we show how data mining techniques and a correlation-based feature selection (CBFS) method can be applied effectively to the selection of significant factors. Second, we then show how RBDM can be incorporated into robust design. Third, we present how the proposed RBDM estimates process parameters by considering the concept of robustness of the estimated parameters while incorporating the concept of noise factors. Finally, we present numerical examples to illustrate the efficiency of the proposed RBDM as a design tool for optimizing manufacturing processes.

Design and Optimization of Multi-Stage Centrifugal Compressors With Uncertainty Quantification of Off Design Performance

2017 ◽  
Author(s):  
A. Romei ◽  
R. Maffulli ◽  
C. Garcia Sanchez ◽  
S. Lavagnoli
Keyword(s):  
Uncertainty Quantification ◽  
Oil And Gas ◽  
Low Cost ◽  
Design Procedure ◽  
Design Tool ◽  
Test Case ◽  
Centrifugal Compressors ◽  
Design Performance ◽  
Leading Role ◽  
Multi Stage

The use of multi-stage centrifugal compressors carries out a leading role in oil and gas process applications. Green operation and market competitiveness require the use of low-cost reliable compression units with high efficiencies and wide operating range. A methodology is presented for the design optimization of multi-stage centrifugal compressors with prediction of the compressor map and estimation of the uncertainty limits. A one-dimensional (1D) design tool has been developed that automatically generates a multi-stage radial compressor satisfying the target machine requirements based on a few input parameters. The compressor performance map is then assessed using the method proposed by Casey-Robinson [1], and the approach developed by Al-Busaidi-Pilidis [2]. The off-design performance method relies on empirical correlations calibrated on the performance maps of many single-stage centrifugal compressors. An uncertainty quantification study on the predicted performance maps was conducted using Monte Carlo method (MCM) and generalized Polynomial Chaos Expansion (gPCE). Finally, the design procedure has been coupled to an in-house optimizer based on evolutionary algorithms. The complete design procedure has been applied to a multi-stage industrial compressor test case. A multi-objective optimization of a multi-stage industrial compressor has been performed targeting maximum compressor efficiency and flow range. The results of the optimization show the existence of optimum compressor architectures and how the Pareto fronts evolve depending on the number of stages and shafts.

The eGovernment Use Case Scenario

2011 ◽  
pp. 343-357 ◽  
Author(s):  
Giampaolo Armellin ◽  
Annamaria Chiasera ◽  
Ganna Frankova ◽  
Liliana Pasquale ◽  
Francesco Torelli ◽  
...  
Keyword(s):  
Use Case ◽  
Case Scenario

Semantic Interoperability on the Internet of Things

2013 ◽  
Vol 4 (3) ◽  
pp. 47-69 ◽  
Author(s):  
Konstantinos Kotis ◽  
Artem Katasonov
Keyword(s):  
Internet Of Things ◽  
Semantic Interoperability ◽  
The Internet ◽  
Use Case ◽  
Proof Of Concept ◽  
Case Scenario ◽  
Key Technology ◽  
Smart Gateway ◽  
The Internet Of Things

Internet of Things should be able to integrate an extremely large amount of distributed and heterogeneous entities. To tackle heterogeneity, these entities will need to be consistently and formally represented and managed (registered, aligned, composed and queried) trough suitable abstraction technologies. Two distinct types of these entities are a) sensing/actuating devices that observe some features of interest or act on some other entities (call it ‘smart entities’), and b) applications that utilize the data sensed from or sent to the smart entities (call it ‘control entities’). The aim of this paper is to present the Semantic Smart Gateway Framework for supporting semantic interoperability between these types of heterogeneous IoT entities. More specifically, the paper describes an ontology as the key technology for the abstraction and semantic registration of these entities, towards supporting their automated deployment. The paper also described the alignment of IoT entities and of their exchanged messages. More important, the paper presents a use case scenario and a proof-of-concept implementation.

scholarly journals Analisis dan Perancangan Sistem Informasi Rawat Jalan pada Klinik ST di Bandung

2018 ◽  
Vol 17 (2) ◽  
pp. 80-97
Author(s):  
Rini Astuti ◽  
Kevin Kristianto
Keyword(s):  
Sequence Diagram ◽  
Class Diagram ◽  
Use Case ◽  
Case Scenario ◽  
Activity Diagram ◽  
Development Tool ◽  
System Use ◽  
Database Engine

Sistem Informasi Rawat Jalan ini bertujuan untuk mendukung kegiatan operasional klinik yang mencakup layanan rawat jalan serta pengelolaan persediaan barang agar lebih cepat dan efisien. Untuk mendokumentasikan sistem ini menggunakan pendekatan berorientasi objek. Pada tahap pemodelan analisis, dibuat system use case, use case scenario, dan activity diagram. Pada tahap perancangan, pendekatan ini menggunakan class diagram dan sequence diagram. Sedangkan pada tahap implementasi, pendekatan ini menggunakan component diagram dan deployment diagram. Dalam tahap pembangunan sistem informasi, penulis menggunakan bahasa pemrograman Java dengan Netbeans 7.2.1 sebagai development tool, serta MySQL sebagai database engine. Hasil dari pengerjaan ini berupa sistem informasi yang mampu menangani proses pendaftaran pasien, pemeriskaan pasien, pembayaran resep, pembelian produk, serta pembayaran utang terhadap pemasok. Sistem informasi yang dihasilkan mampu mempercepat waktu pemrosesan informasi pada setiap tahap dalam kegiatan operasional klinik.

Optimization of Cellular Concrete Microstructure for Improved Impact Resistance

2021 ◽  
pp. 036119812110263
Author(s):  
Jamie V. Clark ◽  
David A. Lange
Keyword(s):  
Cellular Structure ◽  
Impact Resistance ◽  
Constant Load ◽  
Design Guidelines ◽  
Design Tool ◽  
Low Velocity Impact ◽  
Low Velocity ◽  
Foaming Agents ◽  
Overall Performance ◽  
Cellular Concrete

Engineered material arresting system (EMAS) is a cellular concrete material currently used as passive aircraft arresting system at airports around the U.S.A. and abroad. Its cellular structure crushes on impact, helping to absorb energy and create drag resistance. Energy absorbed during crushing is defined by the load–deformation response curve, in which a plateau is indicative of crushing behavior at a near-constant load. At the microstructural level, the energy absorbed from crushing is a combination of elastic buckling, plastic yield, and brittle fracture of the cellular microstructure. Therefore, optimization of the cellular structure (e.g., bubble size and distribution) is paramount to the overall performance of these systems. This study makes use of microstructural investigations, quasi-static indentation, and drop weight testing to investigate the performance of cellular concrete with varied microstructures. The results show that, while density (air content) has been considered the main predictor of overall performance, the nature of the cellular structure created by the use of different foaming agents can be a useful design tool. This adds another critical consideration in the design of impact-resistant infrastructure. Given this finding, a new set of design guidelines are presented in this paper. This work aims to inform better design of impact-resistant infrastructure by identifying cellular concrete microstructures that lead to optimal energy absorption in low-velocity impact events, such as aircraft overruns.

scholarly journals A Microservices Model to Enhance the Availability of Data for Building Energy Efficiency Management Services

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 360 ◽  
Author(s):  
Muhammad Aslam Jarwar ◽  
Sajjad Ali ◽  
Ilyoung Chong
Keyword(s):  
Energy Efficiency ◽  
Data Processing ◽  
Building Energy ◽  
Heterogeneous Data ◽  
Data Availability ◽  
Use Case ◽  
Building Energy Efficiency ◽  
Case Scenario ◽  
Virtual Objects ◽  
Management Services

In the Internet of Things (IoT)-supported energy data management infrastructure, objects from various energy generation and consumption terminals in buildings produce a tremendous amount of data. However, this data is not useful unless it is available on-time for services that discover meaningful information in order to provide intelligent decisions. The microservices-based data caching, data virtualization, data processing, data analysis, and data ingestion methods can be applied to enhance the data availability for energy efficiency management services provision across buildings. To foster building energy efficiency management services (BEEMS), Web of Objects (WoO) provides data abstraction, aggregation, and ingestion mechanism with virtual objects (VOs) and composite virtual objects (CVOs) by using ontologies and availability and scalability of services with microservices. This article proposes the use of data processing microservices modeling to enhance data availability and expose services capabilities with microservices for BEEMS. We present a semantic web agent based on an ontology for linking, enhancement, reusability, and availability of data-objects, services, and microservices. For the evaluation, we present a use case, which includes heterogeneous data collection and processing and provision of various BEEMS. A prototype for the use case scenario has been built and the results have been evaluated in the laboratory to mimic the enhanced data availability for BEEMS.

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