Full-Scale Physical Modeling of Pipeline Instability on a Sloping Seabed

2011 ◽  
Author(s):  
Fuping Gao ◽  
Jing Cao ◽  
Xiting Han ◽  
Yong Sha ◽  
En-yong Zhang ◽  
...  
Keyword(s):  
Physical Modeling ◽  
Full Scale

Full-Scale Physical Modeling of Stand-Alone Screens for Thermal Projects

2020 ◽  
Author(s):  
Vahidoddin Fattahpour ◽  
Morteza Roostaei ◽  
Mohammad Soroush ◽  
Seyed Abolhassan Hosseini ◽  
Kelly Berner ◽  
...  
Keyword(s):  
Physical Modeling ◽  
Full Scale

scholarly journals Relativerigidity of twisted fishing gear

2020 ◽  
Vol 0 (1) ◽  
pp. 46-60
Author(s):  
Alexander Alekseevich Nedostup ◽  
Karina Konovalova ◽  
Pavel Nasenkov ◽  
Alexey Olegovich Razhev ◽  
Boris Altschul ◽  
...  
Keyword(s):  
Physical Modeling ◽  
Bending Stiffness ◽  
Full Scale ◽  
Torsional Stiffness ◽  
Dynamic Processes ◽  
Fishing Gear ◽  
Model Experiments ◽  
Longitudinal Stiffness ◽  
Longitudinal Bending ◽  
Dimensionless Combination

The article touches upon the problem of physical modeling of fishing twisted filamentary materials, in particular, the justification of the rules of similarity of relative longitudinal, bending and torsional stiffness of filamentary parts. The formulation of the problem is associated with the difficulties of conducting full-scale experiments for designing new fishing gear, as well as with the lack of systematic experiments on measuring the stiffness of synthetic cordage. In connection with this, it becomes necessary to conduct model experiments related to physical modeling of dynamic processes occurring with the cordage under load. There has been calculated the coefficient of proportionality of bending stiffness that determines the ability of filamentary parts and cordage to resist bending. There have been given the formulas that determine the combination of the ratio of bending stiffness to longitudinal stiffness and the dimensionless combination of the ratio of bend-ing stiffness to torsional stiffness. The study allows to predict the behavior and basic properties (di-ameter, density, strength, elongation, etc.) of modern synthetic filamentous fishing gear at the stage of their creation (design).

A comparison of two algorithms for the simulation of bending-active structures

2018 ◽  
Vol 33 (2) ◽  
pp. 73-85 ◽  
Author(s):  
Pierre Cuvilliers ◽  
Justina R. Yang ◽  
Lancelot Coar ◽  
Caitlin Mueller
Keyword(s):  
Physical Modeling ◽  
Best Practice ◽  
Numerical Study ◽  
Modeling Processes ◽  
Full Scale ◽  
Active Structures

Bending-active structures, made from elastically bent materials such as fiberglass rods, offer exciting opportunities in architecture because of their broad formal palette and ease of construction. While they have been relevant since Frei Otto’s Mannheim Multihalle (1974), recent computational developments that help simulate active-bending processes have renewed interest in them. Such tools are important because they can replace time-consuming and imprecise physical modeling processes. However, physically meaningful simulations, using real materials and full scale, are difficult to create, and there are no good mechanisms to reveal when a simulation is inaccurate. This article offers a conceptual and numerical study of two popular contemporary algorithms for simulations of bending-active structures, mainly through a comparison of their results on the planar elastica. We then offer guidelines on best practice modeling settings and demonstrate possibilities and pitfalls through an architectural-scale case study.

Full-Scale Physical Modeling Of The System “Granular Media—Steel Sheet Piling”

2011 ◽  
Author(s):  
M. P. Dubrovskyy ◽  
G. N. Meshcheryakov ◽  
V. N. Petrosyan ◽  
O. M. Dubrovska ◽  
Muhammed Hasan Aslan ◽  
...  
Keyword(s):  
Physical Modeling ◽  
Granular Media ◽  
Steel Sheet ◽  
Full Scale

scholarly journals Substantiation of similitude rules of bending stiffness of twisted fishing gear

2020 ◽  
Vol 0 (1) ◽  
pp. 77-85
Author(s):  
Alexander Alekseevich Nedostup ◽  
Karina Konovalova ◽  
Pavel Nasenkov ◽  
Alexey Olegovich Razhev ◽  
Sergey Fedorov
Keyword(s):  
Physical Modeling ◽  
Large Scale ◽  
Large Diameter ◽  
Physical And Mechanical Properties ◽  
Bending Stiffness ◽  
Full Scale ◽  
Dynamic Processes ◽  
Fishing Gear ◽  
Commercial Fishery ◽  
Engineering Structures

The article considers the problems of physical modeling of twisted filamentary parts of fishing gear and the similitude rules of bending stiffness of filamentary gear parts (FP). The problems are caused firstly by the scope, high costs and complexity of engineering structures in commercial fishery, and thus it was impossible to use them in full-scale testing. Secondly, the lack of systematic experiments prevented from measuring the bending stiffness of synthetic rope parts of fishing gear (SRP). Thus, it becomes necessary to conduct model experiments related to physical modeling of dynamic processes occurring in twisted fishing gear, as well as to carry out a detailed study of the theory of similarity. An attempt to evaluate the bending stiffness of a full-scale object made of polyamide (diameter = 10 mm, the object length and pin diameter were found using large-scale physical characteristics) based on the analysis of experimental data on bending stiffness of synthetic filamentous gear parts made of polyamide with different diameter and length (length = 0.08; 0.10; 0.12; 0.16; 0.20, 0.24 m and diameter = 1.10; 2.0; 3.10; 4.0; 5.0, 6.0 mm) defined on the pins with diameter = 2.0, 10.0 and 30.0 mm. The obtained data will help to prove the correctness of using the theory of dynamic similarity in the course of justification of similarity rules of bending stiffness of the large-diameter cordage and to determine the basic physical and mechanical properties necessary for modeling industrial fishing gear.

Representing Steam Processes With Vacuum Models

1980 ◽  
Vol 20 (03) ◽  
pp. 151-174 ◽  
Author(s):  
G.L. Stegemeier ◽  
D.D. Laumbach ◽  
C.W. Volek
Keyword(s):  
Physical Model ◽  
Physical Modeling ◽  
Full Scale ◽  
Oil Field ◽  
Hot Water ◽  
Physical Models ◽  
Actual Process ◽  
Scaled Model ◽  
Modeling Technology ◽  
Pattern Size

Abstract Scaled models of steam processes have contributed significantly to the design and implementation of many field projects. These models provide a means of answering pertinent questions, including the effect of (1) injection rate, (2) production pressure, (3) completion interval, (4) pattern size and type, (5) aquifers, (6) heterogeneities, and (7) steam quality. Parameters are presented for scaling up physical-model results to full scale and for relating physical-model results to full scale and for relating one oil field to another. These relationships are generated by casting the governing equations in dimensionless form. A set of similarity parameters then are determined by inspectional analysis. In physical models, unfortunately, it is not possible to physical models, unfortunately, it is not possible to match all similarity parameters. Consequently, based on engineering judgment, a set containing a reduced number of parameters, called scaling parameters, is generated that generally can be matched between scaled model and field prototype. Techniques to implement this scaling are discussed, including a description of the laboratory models, typical materials, and procedures for conducting the experiments. Results of model studies for Mt. Poso and Midway Sunset prototypes are presented. presented. Introduction Physical modeling technology has been developed to Physical modeling technology has been developed to the extent that detailed descriptions of steam processes can be provided for field projects in which processes can be provided for field projects in which the number of wells is large, patterns are irregular, or asymmetry occurs from dip or water influx. In many of these cases, sufficient complexity can be introduced to provide both prediction of overall response and specific guidance for operating policies on a well-by-well basis. The fine detail attainable in physical models arises from the large number of physical models arises from the large number of beads or sand grains, typically in excess of 10 million, that are used in the packed bed. By comparison, present-day numerical steam simulators are limited present-day numerical steam simulators are limited practically to about 1,000 grid blocks. Besides practically to about 1,000 grid blocks. Besides offering this capability of representing additional geometrical and geological complexity, the physical models have the advantage that physical phenomena are not constrained by specified relationships but are free to interact subject only to scaling factors. This additional insight can be important in new processes for which relationships are not known or are difficult to formulate. Limitations of physical models arise because of the unavailability of materials and fluids having physical properties that will satisfy all scaling requirements. properties that will satisfy all scaling requirements. Effects of compromises in scaling often can be observed with simple geometric configurations in mathematical simulators. Conversely, improved mathematical simulation often is possible after determining important parameters experimentally. Consequently, the two serve complementary roles in determining the important mechanisms for a particular process. particular process.Our thermal models do not represent processes in which steam distillation, solution gas, chemical reactions, or compressibility are important. The choice of whether to model physically or to calculate numerically depends on the actual process being studied and the capabilities one has developed in each of these technologies. Scaling rules for steam-injection processes have evolved from those for isothermal and hot-water processes. Isothermal reservoir processes have been processes. Isothermal reservoir processes have been the subject of a number of scaling studies. Scaling for the hot-water drive has been reported in the work of Geertsma et al., Baker, and Dietz; scaling for combustion processes has been given by Binder et al. SPEJ P. 151

Problems of robotic systems testing for moving on space objects

2021 ◽  
Vol 9 (3) ◽  
pp. 180-185
Author(s):  
Pavel Anan’ev ◽  
Anna Plotnikova ◽  
Alexandr Timofeev ◽  
Roman Mesсheryakov ◽  
Konstantin Belyakov
Keyword(s):  
Key Words ◽  
Physical Modeling ◽  
Granulometric Composition ◽  
Robotic System ◽  
Full Scale ◽  
Robotic Systems ◽  
Electromagnetic Properties ◽  
The Moon ◽  
Cosmic Body ◽  
Space Objects

The article discusses the issues of providing full-scale testing of machines and spacecraft. The authors consider the surface of a cosmic body and propose the creation of an analogue of the regolith of the Moon and Mars. It is noted that it is necessary to observe not only the physicochemical and granulometric composition of the analogue, but also its electromagnetic charge, which will allow testing robotic systems more fully. Conclusions and description of the process of regolith creation and its properties are given. Key words Robotic system, space, regolith, electromagnetic properties, physical modeling.

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