Academic literature on the topic 'Ocean engineering'

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Journal articles on the topic "Ocean engineering"

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McNutt, Marcia K., and Karl S. Pister. "Engineering the Ocean." Bulletin of the American Academy of Arts and Sciences 55, no. 3 (2002): 42. http://dx.doi.org/10.2307/3824211.

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Ogilvie, T. Francis. "Ocean Engineering Education in the ‘90s." Marine Technology and SNAME News 30, no. 02 (April 1, 1993): 79–83. http://dx.doi.org/10.5957/mt1.1993.30.2.79.

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Engineering education at the bachelor's-and master's-degree levels is intended primarily to provide young people with the basic preparation for lifelong careers in the practice of engineering. Thus, in developing such programs, one must anticipate the demands that will be made of engineers over a period of several decades. In ocean engineering, this means that we must try to predict the kinds of ocean systems that will be required by society far in the future and then define the appropriate disciplines in which ocean engineers must be well-grounded. Accordingly, the focus of this paper is on the future of ocean engineering in the next century and on the basic knowledge that present-day students will need to succeed in that environment. Our ultimate objective is to enable mankind to build and operate systems in as well as on the oceans. Since underwater systems in the foreseeable future will depend on support from the surface, we must continue to develop the capability to operate in the hostile environment of the ocean surface. But we must also face the unique difficulties inherent in deepwater operations, including, for example, (i) our inability to communicate through the water, (ii) the lack of operational energy sources, (iii) high pressure, (iv) corrosive medium, (v) short lives of functional installations (especially moored systems), and (vi) problems of designing instruments and systems for monitoring both ocean operations and the environment itself. The hostility of the ocean environment will require that many operations be performed without human beings on site, thus creating the need for remotely controlled and autonomous systems. Such challenges are discussed in the paper, and the relevant fundamental disciplines are defined.
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Bot, Dr Patrick, Richard G. J. Flay, and Fabio Fossati. "Ocean engineering special issue: Yacht engineering." Ocean Engineering 90 (November 2014): 1. http://dx.doi.org/10.1016/j.oceaneng.2014.09.025.

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Whittaker, T. J. T. "Waves in ocean engineering." Engineering Structures 14, no. 5 (November 1992): 347. http://dx.doi.org/10.1016/0141-0296(92)90048-u.

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Sullivan, Deidre, Tom Murphree, Bruce Ford, and Jill Zande. "OceanCareers.com: Navigating Your Way to a Better Future." Marine Technology Society Journal 39, no. 4 (December 1, 2005): 99–104. http://dx.doi.org/10.4031/002533205787465995.

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The ocean attracts and inspires thousands of students every year to pursue degrees in science, engineering, and technology. Yet, in spite of all the attention paid to the oceans, students often lack the information needed to make wise decisions about choosing an ocean-related career. The Center for Ocean Science Education Excellence ? California (COSEE California) and the Marine Advanced Technology Education (MATE) Center have responded to this problem by developing a user-friendly interactive Web site on ocean careers (www.OceanCareers.com).
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Yan, Jun, Wanhai Xu, Zhiqiang Hu, and Min Lou. "Theory, Method and Engineering Application of Computational Mechanics in Offshore Structures." Journal of Marine Science and Engineering 11, no. 6 (May 23, 2023): 1105. http://dx.doi.org/10.3390/jmse11061105.

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Chave, Alan D., Gary Waterworth, Andrew R. Maffei, and Gene Massion. "Cabled Ocean Observatory Systems." Marine Technology Society Journal 38, no. 2 (June 1, 2004): 30–43. http://dx.doi.org/10.4031/002533204787522785.

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Future studies of episodic processes in the ocean and earth will require new tools to complement traditional, ship-based, expeditionary science. This will be enabled through the construction of innovative facilities called ocean observatories which provide unprecedented amounts of power and two-way bandwidth to access and control instrument networks in the oceans. The most capable ocean observatories are designed around a submarine fiber optic/power cable connecting one or more seafloor science nodes to the terrestrial power grid and communications backhaul. This paper defines the top level requirements that drive cabled observatory design and the system engineering environment within which a scientifically-capable infrastructure can be implemented. Commercial high reliability submarine telecommunication technologies which will be crucial in the design of long term cabled observatories are then reviewed. The top level architecture of a generic cabled observatory, describing the main subsystems comprising the whole and defining technological approaches to their engineering, is then described, along with some example design choices and tradeoff studies
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Jain, P., and M. C. Deo. "Neural networks in ocean engineering." Ships and Offshore Structures 1, no. 1 (January 2006): 25–35. http://dx.doi.org/10.1533/saos.2004.0005.

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Goodier, John. "Springer Handbook of Ocean Engineering." Reference Reviews 31, no. 7 (September 18, 2017): 18–19. http://dx.doi.org/10.1108/rr-04-2017-0094.

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Pranesh, M. R., and J. S. Mani. "Similitude engineering—ocean structure interaction." Ocean Engineering 15, no. 2 (January 1988): 189–200. http://dx.doi.org/10.1016/0029-8018(88)90028-5.

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Dissertations / Theses on the topic "Ocean engineering"

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Yttervik, Rune. "Ocean current Variability in Relation to Offshore Engineering." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Engineering Science and Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-499.

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This work adresses ocean current variability in relation to offshore engineering.

The offshore oil and gas activity has up until recently taken place mainly on the continental shelves around the world. During the last few years, however, the industry has moved past the continental shelf edge and down the continental slope towards increasingly deeper waters. In deep water locations, marine structures may span large spaces, marine operations may become more complicated and require longer time for completion and the effect of the surface waves is diminished. Therefore, the spatial and temporal variability of the current is expected to become more important in design and planning than before.

The flow of water in the oceans of the world takes place on a wide variety of spatial scales, from the main forms of the global ocean circulation (~km), to the microstructure (~mm) of boundary layer turbulence. Similarly, the temporal variability is also large. In one end of the scale we find variations that take place over several decades, and in the other end we find small-scale turbulence (~seconds). Different features of the flow are driven by different mechanisms. Several processes and properties (stratification1, sloping boundary, Coriolis effect, friction, internal waves, etc.) interact on the continental slope to create a highly variable flow environment. Analysis of a set of observed data that were recorded close to the seabed on the continental slope west of Norway are presented. The data suggest that some strong and abrupt current events (changes in flow speed of ~0.4 m/s in just a couple of hours) were caused by motions of the deep pycnocline2, driven by variations in the surface wind field. This conjecture is partly supported by numerical simulations of an idealised continental slope and a two-layer ocean. The data also contains an event during which the flow direction at the sea bed changed very rapidly (within a few minutes) from down-slope to up-slope flow. The change in speed during this event was as high as 0.5 m/s.

Another data set has been analyzed in order to illustrate the spatial variation in the current that can sometimes be found. It is shown that the flow in the upper layer is virtually decoupled from the flow in the lower layer at a location west of Norway. This is either caused by bottom topography, stratification or both.

High variability of the current presents new requirements to the way that the current should be modelled by the offshore engineer. For instance, it is necessary to consider which type of operation/structure that is to be carried out or installed before selecting design current conditions. Reliable methods for obtaining design current conditions for a given deep water location have yet to be developed, only a brief discussion of this topic is given herein.

It is shown, through calculations of VIV-response and simulations of typical marine operations, that the variability of the current will sometimes have a significant effect on the response/operation.

1Vertical distribution of density. In a stratified ocean or flow, the density of the water varies in the vertical direction.

2pycnocline=density surface between water masses. The pycnocline between two water masses of different density is defined by the maximum of the density gradient.

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Langlois, Gilles. "Diaphragm forming : innovation and application to ocean engineering." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/37530.

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Shen, Guoling 1967. "Approximation with interval B-splines for robust reverse engineering." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43456.

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Swezey, Matthew Michael. "Ocean acoustic uncertainty for submarine applications." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104274.

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Thesis: S.M. in Naval Architecture and Marine Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.
Thesis: S.M. in Mechanical Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 119-125).
The focus of this research is to study the uncertainties forecast by multi-resolution ocean models and quantify how those uncertainties affect the pressure fields estimated by coupled ocean models. The quantified uncertainty can then be used to provide enhanced sonar performance predictions for tactical decision aides. High fidelity robust modeling of the oceans can resolve various scale processes from tidal shifts to mesoscale phenomena. These ocean models can be coupled with acoustic models that account for variations in the ocean environment and complex bathymetry to yield accurate acoustic field representations that are both range and time independent. Utilizing the MIT Multidisciplinary Environmental Assimilation System (MSEAS) implicit two-way nested primitive-equation ocean model and Error Subspace Statistical Estimation scheme (ESSE), coupled with three-dimensional-in-space (3D) parabolic equation acoustic models, we conduct a study to understand and determine the effects of ocean state uncertainty on the acoustic transmission loss. The region of study is focused on the ocean waters surrounding Taiwan in the East China Sea. This region contains complex ocean dynamics and topography along the critical shelf-break region where the ocean acoustic interaction is driven by several uncertainties. The resulting ocean acoustic uncertainty is modeled and analyzed to quantify sonar performance and uncertainty characteristics with respect to submarine counter detection. Utilizing cluster based data analysis techniques, the relationship between the resulting acoustic field and the uncertainty in the ocean model can be characterized. Furthermore, the dynamic transitioning between the clustered acoustic states can be modeled as Markov processes. This analysis can be used to enhance not only submarine counter detection aides, but it may also be used for several applications to enhance understanding of the capabilities and behavior of uncertainties of acoustic systems operating in the complex ocean environment.
by Matthew Michael Swezey.
S.M. in Naval Architecture and Marine Engineering
S.M. in Mechanical Engineering
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Shah, Vikrant P. "Design considerations for engineering autonomous underwater vehicles." Online version of original thesis, 2007. http://hdl.handle.net/1912/1883.

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Balzola, Ricardo 1971. "Balancing container inventories for ocean carriers." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9494.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1999.
Includes bibliographical references (leaves 59-60).
Over the last twenty years the transportation industry has undergone a dramatic shift into container operations. The advantages of this mode of transportation are numerous, especially for the ocean carriers. The use of containers adds a high degree of versatility to their ships and increases the utilization of the vessels by means of a remarkable decrease in the loading and unloading operations time. However, the introduction of the containers adds, as well, a considerable investment cost to an industry that was already very capital intensive. The pressure of the high cost investment in equipment in addition to a remarkable competition in the sector forces every player in the industry to try to obtain the maximum efficiency in the utilization of its assets. Global trade is not in general balanced, and so the demand for containers at the different ports of the world varies greatly. As a result of this unbalanced situation, empty containers must be reallocated from mainly importing areas to those at which the overall outflow of freight is larger than the inflow. Managing the container inventory and the container reallocation, subject to the particular requirements of the industry and the present and future demand is known as the Container Allocation Problem. The purpose of this thesis is the development of a model for this problem so as to maximize the profit to be obtained from the management of a shipping line container inventory. The container avocation problem is modeled by the user of a large-scale, multi-stage stochastic network formulation that incorporates the uncertainty factor in the demand side of the problem. This network formulation captures the space-time dynamics of the reallocation process while using an objective function that minimizes the cost of the container operations in the long run. A continuous rolling horizon to limit the number of nodes in the network is used in the modeling of this system so as to make this problem tractable. Finally, a solution algorithm for this problem is proposed. The algorithm decomposes the initial non-linear network formulation into an iteration of successive linear approximations that can be solved via a classical linear programming method.
by Ricardo Balzola.
M.Eng.
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Vaskov, Alex Kikeri. "Technological review of deep ocean manned submersibles." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/74911.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.
Cataloged from PDF version of thesis. Vita.
Includes bibliographical references (p. 63-65).
James Cameron's dive to the Challenger Deep in the Deepsea Challenger in March of 2012 marked the first time man had returned to the Mariana Trench since the Bathyscaphe Trieste's 1960 dive. Currently little is known about the geological processes and ecosystems of the deep ocean. The Deepsea Challenger is equipped with a plethora of instrumentation to collect scientific data and samples. The development of the Deepsea Challenger has sparked a renewed interest in manned exploration of the deep ocean. Due to the immense pressure at full ocean depth, a variety of advanced systems and materials are used on Cameron's dive craft. This paper provides an overview of the many novel features of the Deepsea Challenger as well as related features of past vehicles that have reached the Challenger Deep. Four key areas of innovation are identified: buoyancy materials, pilot sphere construction/instrument housings, lighting, and battery power. An in depth review of technological development in these areas is provided, as well as a glimpse into future manned submersibles and their technologies of choice.
by Alex Kikeri Vaskov.
S.B.
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Lin, Steve S. (Steve Simpson) 1976. "A distributed interactive ocean visualization system." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80102.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
Includes bibliographical references (leaf 47).
by Steve S. Lin.
S.B.and M.Eng.
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Desroches, Alexander S. (Alexander Stephen). "Calculation of extreme towline tension during open ocean towing." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/17441.

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Thesis (Nav. E.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1997, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1997.
Includes bibliographical references (leaf 60).
by Alexander S. Deroches.
M.S.
Nav.E.
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Kalmikov, Alexander G. "Uncertainty Quantification in ocean state estimation." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79291.

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Thesis (Ph. D.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and the Woods Hole Oceanographic Institution), 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 158-160).
Quantifying uncertainty and error bounds is a key outstanding challenge in ocean state estimation and climate research. It is particularly difficult due to the large dimensionality of this nonlinear estimation problem and the number of uncertain variables involved. The "Estimating the Circulation and Climate of the Oceans" (ECCO) consortium has developed a scalable system for dynamically consistent estimation of global time-evolving ocean state by optimal combination of ocean general circulation model (GCM) with diverse ocean observations. The estimation system is based on the "adjoint method" solution of an unconstrained least-squares optimization problem formulated with the method of Lagrange multipliers for fitting the dynamical ocean model to observations. The dynamical consistency requirement of ocean state estimation necessitates this approach over sequential data assimilation and reanalysis smoothing techniques. In addition, it is computationally advantageous because calculation and storage of large covariance matrices is not required. However, this is also a drawback of the adjoint method, which lacks a native formalism for error propagation and quantification of assimilated uncertainty. The objective of this dissertation is to resolve that limitation by developing a feasible computational methodology for uncertainty analysis in dynamically consistent state estimation, applicable to the large dimensionality of global ocean models. Hessian (second derivative-based) methodology is developed for Uncertainty Quantification (UQ) in large-scale ocean state estimation, extending the gradient-based adjoint method to employ the second order geometry information of the model-data misfit function in a high-dimensional control space. Large error covariance matrices are evaluated by inverting the Hessian matrix with the developed scalable matrix-free numerical linear algebra algorithms. Hessian-vector product and Jacobian derivative codes of the MIT general circulation model (MITgcm) are generated by means of algorithmic differentiation (AD). Computational complexity of the Hessian code is reduced by tangent linear differentiation of the adjoint code, which preserves the speedup of adjoint checkpointing schemes in the second derivative calculation. A Lanczos algorithm is applied for extracting the leading rank eigenvectors and eigenvalues of the Hessian matrix. The eigenvectors represent the constrained uncertainty patterns. The inverse eigenvalues are the corresponding uncertainties. The dimensionality of UQ calculations is reduced by eliminating the uncertainty null-space unconstrained by the supplied observations. Inverse and forward uncertainty propagation schemes are designed for assimilating observation and control variable uncertainties, and for projecting these uncertainties onto oceanographic target quantities. Two versions of these schemes are developed: one evaluates reduction of prior uncertainties, while another does not require prior assumptions. The analysis of uncertainty propagation in the ocean model is time-resolving. It captures the dynamics of uncertainty evolution and reveals transient and stationary uncertainty regimes. The system is applied to quantifying uncertainties of Antarctic Circumpolar Current (ACC) transport in a global barotropic configuration of the MITgcm. The model is constrained by synthetic observations of sea surface height and velocities. The control space consists of two-dimensional maps of initial and boundary conditions and model parameters. The size of the Hessian matrix is 0(1010) elements, which would require 0(60GB) of uncompressed storage. It is demonstrated how the choice of observations and their geographic coverage determines the reduction in uncertainties of the estimated transport. The system also yields information on how well the control fields are constrained by the observations. The effects of controls uncertainty reduction due to decrease of diagonal covariance terms are compared to dynamical coupling of controls through off-diagonal covariance terms. The correlations of controls introduced by observation uncertainty assimilation are found to dominate the reduction of uncertainty of transport. An idealized analytical model of ACC guides a detailed time-resolving understanding of uncertainty dynamics. Keywords: Adjoint model uncertainty, sensitivity, posterior error reduction, reduced rank Hessian matrix, Automatic Differentiation, ocean state estimation, barotropic model, Drake Passage transport.
by Alexander G. Kalmikov.
Ph.D.
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Books on the topic "Ocean engineering"

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Stachiw, Jerry D. Ocean engineering studies. San Diego, Calif: Naval Ocean Systems Center, 1990.

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1940-, Rahman M., ed. Ocean waves engineering. Southampton: Computational Mechanics Publications, 1994.

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1927-, LeMéhauté Bernard, and Hanes Daniel M, eds. Ocean engineering science. New York: John Wiley, 1990.

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Cui, Weicheng, Shixiao Fu, and Zhiqiang Hu, eds. Encyclopedia of Ocean Engineering. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-6963-5.

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Ferial, El-Hawary, ed. The ocean engineering handbook. Boca Raton, Fla: CRC Press, 2001.

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G, Pitt E., ed. Waves in ocean engineering. Amsterdam: Elsevier, 2001.

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I, Prescott Alan, ed. Ocean engineering research advances. New York: Nova Science Publishers, 2007.

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E, Randall Robert. Elements of ocean engineering. 2nd ed. Jersey City, N.J: Society of Naval Architects, 2010.

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Gran, Sverre. A course in ocean engineering. Amsterdam: Elsevier, 1992.

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Oceans '93 (1993 Victoria, B.C.). Oceans '93: Engineering in harmony with the ocean : proceedings. New York, N.Y: Institute of Electrical and Electronics Engineers, 1993.

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Book chapters on the topic "Ocean engineering"

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Shafer, Wade H. "Marine and Ocean Engineering." In Masters Theses in the Pure and Applied Sciences, 278–80. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0393-0_23.

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Shafer, Wade H. "Marine and Ocean Engineering." In Masters Theses in the Pure and Applied Sciences, 220–21. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5969-6_24.

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Shafer, Wade H. "Marine and Ocean Engineering." In Masters Theses in the Pure and Applied Sciences, 250–52. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3412-9_24.

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Shafer, Wade H. "Marine and Ocean Engineering." In Masters Theses in the Pure and Applied Sciences, 283–86. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3474-7_24.

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Shafer, Wade H. "Marine and Ocean Engineering." In Masters Theses in the Pure and Applied Sciences, 284–86. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0599-6_24.

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Shafer, Wade H. "Marine and Ocean Engineering." In Masters Theses in the Pure and Applied Sciences, 278–80. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5197-9_24.

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Roberts, Philip J. W. "Engineering of Ocean Outfalls." In The Role of the Oceans as a Waste Disposal Option, 73–109. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4628-6_6.

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Shafer, Wade H. "Marine and Ocean Engineering." In Masters Theses in the Pure and Applied Sciences, 228–30. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2832-6_24.

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Shafer, Wade H. "Marine and Ocean Engineering." In Masters Theses in the Pure and Applied Sciences, 197–98. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-5782-8_24.

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Shafer, Wade H. "Marine and Ocean Engineering." In Masters Theses in the Pure and Applied Sciences, 250–51. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2453-3_24.

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Conference papers on the topic "Ocean engineering"

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Kirk, W., T. Lee, and D. Anderson. "Corrosion and materials technology in ocean engineering." In OCEANS '85 - Ocean Engineering and the Environment. IEEE, 1985. http://dx.doi.org/10.1109/oceans.1985.1160147.

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Klassi, J. "Ocean world." In OCEANS '85 - Ocean Engineering and the Environment. IEEE, 1985. http://dx.doi.org/10.1109/oceans.1985.1160133.

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Clarke, T., J. Proni, S. Alper, and L. Huff. "Definition of "Ocean bottom" and "Ocean bottom depth"." In OCEANS '85 - Ocean Engineering and the Environment. IEEE, 1985. http://dx.doi.org/10.1109/oceans.1985.1160199.

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Baldwin, K. C., B. Celikkol, D. Fredriksson, M. R. Swift, and I. Tsukrov. "Open Ocean Aquaculture engineering II." In Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). IEEE, 2003. http://dx.doi.org/10.1109/oceans.2003.178076.

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Martinez, J. "Ocean Engineering Projection in Columbia." In OCEANS '86. IEEE, 1986. http://dx.doi.org/10.1109/oceans.1986.1160352.

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Miyoshi, Jun, and Junji Kawasaki. "Design concept of a Japanese purse seiner by using system engineering process." In 2016 Techno-Ocean (Techno-Ocean). IEEE, 2016. http://dx.doi.org/10.1109/techno-ocean.2016.7890656.

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Davies, T. "Ocean waste disposal." In OCEANS '85 - Ocean Engineering and the Environment. IEEE, 1985. http://dx.doi.org/10.1109/oceans.1985.1160259.

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Flipse, J. "Ocean mining - 1985." In OCEANS '85 - Ocean Engineering and the Environment. IEEE, 1985. http://dx.doi.org/10.1109/oceans.1985.1160278.

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Honhart, D. "Navy Remote Ocean Sensing System (N-ROSS) ocean monitoring system." In OCEANS '85 - Ocean Engineering and the Environment. IEEE, 1985. http://dx.doi.org/10.1109/oceans.1985.1160288.

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Yoshida, Hiroshi, Takao Sawa, Tadahiro Hyakudome, and Shojiro Ishibashi. "A Remote Control System for Underwater Vehicle Using Engineering Test Satellite-VIII." In OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean. IEEE, 2008. http://dx.doi.org/10.1109/oceanskobe.2008.4531065.

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Reports on the topic "Ocean engineering"

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Stachiw, J. D. Ocean Engineering Studies. Volume 1. Acrylic Submersibles. Fort Belvoir, VA: Defense Technical Information Center, April 1990. http://dx.doi.org/10.21236/ada235413.

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Stachiw, J. D. Ocean Engineering Studies. Volume 2. Acrylic Submersibles. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada235414.

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Stachiw, J. D. Ocean Engineering Studies. Volume 3. Acrylic Windows. Short-Term Pressurization. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada240402.

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Bellingham, James G., and Paul Chandler. Autonomous Ocean Sampling Network II (AOSN-II): System Engineering and Project Coordination. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada627045.

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Sabol, Margaret A. 1993-1995 Climatic Summary for the Network for Engineering Monitoring of the Ocean. Fort Belvoir, VA: Defense Technical Information Center, April 1997. http://dx.doi.org/10.21236/ada326993.

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Tulin, Marshall P. Final Report on Contract N00014-86-K-0866 (California University, Ocean Engineering Laboratory). Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada244471.

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Ueckermann, Mattheus P., Pierre F. Lermusiaux, and Themis P. Sapsis. Numerical Schemes and Computational Studies for Dynamically Orthogonal Equations (Multidisciplinary Simulation, Estimation, and Assimilation Systems: Reports in Ocean Science and Engineering). Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada568415.

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Abdolmaleki, Kourosh. PR453-205101-R01 Prediction of On-bottom Wave Kinematics in Shallow Water. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), May 2022. http://dx.doi.org/10.55274/r0012225.

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Abstract:
This report examines a novel methodology for approximate prediction of the on-bottom kinematics in shallow waters and shore approach regions. The method involves simulation of generic shallow water scenarios in the Danish Hydraulic Institute MIKE software by assuming a range of seabed slopes and sea states. The simulation results are compiled in a database and a machine learning model is fitted for fast extraction of the desired surface or bottom data. The outcome of this scope of work is very useful when a pipeline stability assessment is required in shallow water areas, where no site-specific met-ocean engineering data is available. In the future, this database could be expanded to cover more ranges of input data and be implemented in the PRCI On-Bottom Stability software.
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Ptsuty, Norbert, Andrea Habeck, and Christopher Menke. Shoreline position and coastal topographical change monitoring at Gateway National Recreation Area: 2017–2022 and 2007–2022 trend report. National Park Service, August 2023. http://dx.doi.org/10.36967/2299536.

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This trend report summarizes the results of shoreline position and coastal topography monitoring conducted at Gateway National Recreation Area (GATE) in 2007 through 2022. The data collection and report were completed by Rutgers University for the National Park Service, Northeast Coastal and Barrier Network, Inventory and Monitoring Program. Gateway National Recreation Area (GATE) is made up of three units: Sandy Hook Unit, Jamaica Bay Unit (Breezy Point, Plumb Beach), and Staten Island Unit (Great Kills, Miller Field, Fort Wadsworth). Shoreline position change results include a spatial depiction and statistical analysis of annual changes and 5-year changes in shoreline position as well as a longer-term trend analysis incorporating the full shoreline analysis of 2007 through 2022, all following the model presented in Psuty et al. (2022a). Coastal topography datasets include profiles of survey data collected annually, annual change metrics, net change metrics, as well as an alongshore depiction of net change, following the model presented in Psuty et al. (2012). This 2007–2022 trend report is the third GATE trend report to incorporate both shoreline position and coastal topographical change data. Due to the variable exposure to incident waves influencing inputs of sediment to the alongshore transport system in the various units from updrift sources, there was no common direction of shoreline displacement or profile change throughout the GATE park units. Engineering structures along the beach and adjacent to inlets altered the shoreline position and coastal topography responses in much of GATE. Generally, the largest vectors of shoreline position change and changes in coastal topography were produced by natural impacts such as storms and by anthropogenic impacts such as dredging or beach nourishment at an updrift location. All of the park units in GATE displayed the impacts of an absence of a source of sediment to counter the erosional impacts of the coastal storms. All of the units had a net inland displacement of shoreline position over the survey period, with some short term recovery associated with local pulses of sediment transfer. Sites with ocean exposure were more heavily eroded (Sandy Hook Oceanside, Breezy Point Oceanside, and Great Kills Oceanside), than sheltered sites (Sandy Hook Bayside, Breezy Point Bayside, Great Kills Bayside, Plumb Beach, Miller Field, Fort Wadsworth). A comparison of the shoreline position and profile data from this survey period with those from the previous trend reports highlights the impacts of Hurricane Sandy and the variety of recovery episodes throughout GATE (Psuty et al. 2018). The trend lines for the sites are often divided into pre-Hurricane Sandy (2012) and post- Hurricane Sandy because of the magnitude of the changes to the shoreline position (1D) and coastal topography (2D) metrics. There was considerable resilience in the system to re-establish the dune-beach system, although not in its original location. The continuing negative sediment budget and the increasing rate of relative sea-level rise will result in episodic inland migration of the dune-beach system and will necessitate a concomitant review of the allocation of space for visitor use and recreation.
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