Optimal Design of Deep-Sea Pressure Hulls using CAE tools

Jeong, Hyun Young; Henry, Panganiban

doi:10.7734/coseik.2012.25.6.477

Cited by 9 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To gain a practical understanding of the functional analysis in the analysis phase and idea generation in the design VE activity process, a survey was conducted targeting architecture experts with experience in design VE activities. Through this, to overcome the limitations of the lack of systematic approach in functional analysis and inefficiency and lack of coherence in idea generation, the Chimera Idea Creation Concept (CICC) was proposed [25]. The quality model is an important model that represents the expectations of the client and users.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of Worth Estimation and Key Target Selection Methods for Effective VE

Jeong,

Kim

2024

Buildings

View full text Add to dashboard Cite

VE is a powerful technique for analyzing a design with a focus on functionality, reducing costs, and increasing value. However, in order to proceed with the design of VE, the theoretical basis for the VE target selection process, which must be preceded in the preparation stage, is lacking, and as a result, it is difficult to verify the most effective target selection. Thus, a theoretical basis is needed. In this study, we intend to quantify the “Worth” value of the “Cost to Worth” technique and present an objective model of the target selection method using the derived value index (VI). For this purpose, cost worth (Worth C) was calculated based on the performance data of 1008 cases for 15 building types provided by the Domestic Public Procurement Service and the share of 83 detailed processes in seven fields. Then, a survey was conducted targeting the ordering companies, and the final worth (Worth F) was calculated by multiplying the derived customer value (Worth V) weight for each detailed work type. We calculated the value index (VI) by comparing “Cost” and “Worth F” for each detailed construction type of the VE project and developed a model to select construction types that exceed the VI standard value derived using the standard error of the population. Both cost experts and non-cost experts can use the developed model to specify the VE target selection criteria in order to easily select the key target, objectively sort the values that serve as the basis for calculating the value index, and make it possible to more easily select the VE target selection criteria based on theoretical evidence. Also, the model can be used to obtain effective detailed design VE results.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Development of Worth Estimation and Key Target Selection Methods for Effective VE

Jeong,

Kim

2024

Buildings

View full text Add to dashboard Cite

show abstract

“…After creating the composite model in the ACP, the data was linked to the Static Structural and Eigenvalue Buckling analysis systems for computing the factors of safety for Tsai-Wu (FS TW ) and Tsai-Hill (FS TH ) failure criteria and buckling strength factors. Similar linear elastic analyses were also used in earlier studies on the conceptual design and design optimization of composite pressure hulls and shell structures [8][9][10][11][12][13][14]16,[50][51][52]. After defining the parameters in the relevant analysis systems, the data was then transferred to the Direct Optimization where all input parameters were set and the constraints and objectives were defined.…”

Section: Finite Element Model Of the Spherical Composite Pressure Hullmentioning

confidence: 99%

Design Optimization and Non-Linear Buckling Analysis of Spherical Composite Submersible Pressure Hull

et al. 2020

View full text Add to dashboard Cite

This paper describes an optimization study of a spherical composite submersible pressure hull employing a genetic algorithm (GA) in ANSYS. A total of five lay-up arrangements were optimized for three unidirectional composites carbon/epoxy, glass/epoxy, and boron/epoxy. The minimization of the buoyancy factor ( B . F ) was selected as the design optimization objective. The Tsai-Wu and Tsai-Hill failure criteria and buckling strength factor ( λ ) were used as the material failure and instability constraints. To determine the effect of geometric non-linearity and imperfections on the optimized design, a non-linear buckling analysis was also carried out for one selected optimized design in ABAQUS. The non-linear buckling analysis was carried out using the modified RIKS procedure, in which the imperfection size changed from 1 to 10 mm. A maximum decrease of 65.937% in buoyancy factor ( B . F ) over an equivalent spherical steel pressure hull was computed for carbon/epoxy. Moreover, carbon/epoxy displayed larger decreases in buoyancy factor ( B . F ) in the case of 4 out of a total of 5 lay-up arrangements. The collapse depth decreased from 517.95 m to 412.596 m for a 5 mm lowest mode imperfection. Similarly, the collapse depth decreased from 522.39 m to 315.6018 for a 5 mm worst mode imperfection.

show abstract

“…Gelli et al [17] also used FEA to determine static stresses in their AW 6082 T6 housing and frame components. Other FEA analyses in AUV design can be found [10,11,[18][19][20]. The AUV industry has also seen an increased interest in modular design, which enables easier manufacturing and maintenance, as well as higher flexibility and customisation [21].…”

Section: Introductionmentioning

confidence: 99%

Application of a Design for Excellence Methodology for a Wireless Charger Housing in Underwater Environments

2022

View full text Add to dashboard Cite

A major effort is put into the production of green energy as a countermeasure to climatic changes and sustainability. Thus, the energy industry is currently betting on offshore wind energy, using wind turbines with fixed and floating platforms. This technology can benefit greatly from interventive autonomous underwater vehicles (AUVs) to assist in the maintenance and control of underwater structures. A wireless charger system can extend the time the AUV remains underwater, by allowing it to charge its batteries through a docking station. The present work details the development process of a housing component for a wireless charging system to be implemented in an AUV, addressed as wireless charger housing (WCH), from the concept stage to the final physical verification and operation stage. The wireless charger system prepared in this research aims to improve the longevity of the vehicle mission, without having to return to the surface, by enabling battery charging at a docking station. This product was designed following a design for excellence (DfX) and modular design philosophy, implementing visual scorecards to measure the success of certain design aspects. For an adequate choice of materials, the Ashby method was implemented. The structural performance of the prototypes was validated via a linear static finite element analysis (FEA). These prototypes were further physically verified in a hyperbaric chamber. Results showed that the application of FEA, together with well-defined design goals, enable the WCH optimisation while ensuring up to 75% power efficiency. This methodology produced a system capable of transmitting energy for underwater robotic applications.

show abstract

Optimal Design of Deep-Sea Pressure Hulls using CAE tools

Cited by 9 publications

References 14 publications

Development of Worth Estimation and Key Target Selection Methods for Effective VE

Development of Worth Estimation and Key Target Selection Methods for Effective VE

Design Optimization and Non-Linear Buckling Analysis of Spherical Composite Submersible Pressure Hull

Application of a Design for Excellence Methodology for a Wireless Charger Housing in Underwater Environments

Contact Info

Product

Resources

About