Synthesis and Optimization of Submarine Pipeline Routes Considering On-Bottom Stability Criteria

2011 ◽  
Author(s):  
Mauro Henrique Alves de Lima ◽  
Juliana Souza Baioco ◽  
Carl Horst Albrecht ◽  
Beatriz Souza Leite Pires de Lima ◽  
Breno Pinheiro Jacob ◽  
...  
Keyword(s):  
Evolutionary Algorithms ◽  
Objective Function ◽  
Case Studies ◽  
Fitness Function ◽  
Optimization Process ◽  
Structural Behavior ◽  
Stability Criteria ◽  
Submarine Pipeline ◽  
Computational Tool ◽  
Geometrical Representation

Researchers from Petrobras and LAMCSO/COPPE/UFRJ are currently involved in the development and implementation of a computational tool, based in Evolutionary Algorithms, for the synthesis and optimization of submarine pipeline routes. In this tool, randomly generated candidate routes are evaluated in terms of several criteria, incorporated in an objective (or fitness) function to take into account the relevant aspects that should be considered in the design of a route. A previous work [1] described the initial steps taken towards the development of such tool. In that work, attention was dedicated to the geometrical representation of a route, and to some of the terms of the objective function associated with a preliminary, global step of the optimization process (such as total pipeline length, and geographical-topographical issues associated with the route geometry and to the seabottom bathymetry and obstacles). Now, this work focuses in other aspects related to the structural behavior of the pipe, under hydrostatic and environmental loadings; more specifically, special attention is dedicated to the implementation of On-Bottom Stability (OBS) criteria such as the proposed in the RP-F109 code [2]. Case studies are presented to illustrate the use of the optimization tool and to assess the influence of the OBS criteria.

Synthesis and Optimization of Submarine Pipeline Routes Considering VIV-Induced Fatigue on Free Spans

2013 ◽  
Author(s):  
Juliana Souza Baioco ◽  
Juan Pablo Inza Blanco ◽  
Bruno Martins Jacovazzo ◽  
Carl Horst Albrecht ◽  
Beatriz Souza Leite Pires de Lima ◽  
...  
Keyword(s):  
Evolutionary Algorithms ◽  
Objective Function ◽  
Case Studies ◽  
Fitness Function ◽  
Structural Behavior ◽  
Submarine Pipeline ◽  
Computational Tool ◽  
Screening Criteria ◽  
Vortex Induced Vibrations ◽  
Seabed Bathymetry

Researchers from Petrobras and LAMCSO/COPPE have been involved in the development and implementation of a computational tool, based on Evolutionary Algorithms, for the synthesis and optimization of submarine pipeline routes. In this tool, randomly generated candidate routes are evaluated in terms of several criteria, incorporated in an objective (or fitness) function to take into account the relevant aspects that should be considered in the design of a route. Previous works described the initial steps taken towards the development of such tool, including the geometrical representation of a route, and some of the terms of the objective function associated with a preliminary, global step of the optimization process (such as total pipeline length, and geographical-topographical issues associated with the route geometry and to the seabed bathymetry and obstacles). Special attention was dedicated to the implementation of On-Bottom Stability (OBS) criteria such as the proposed in the DNV-RP-F109 code. This work is focused on another aspect related to the structural behavior of the pipe under hydrostatic and environmental loadings; more specifically, fatigue induced by vortex induced vibrations (VIV) on free spans along the candidate routes. Special attention is dedicated to the implementation of the screening criteria proposed in the DNV-RP-F105 code. Case studies are presented to assess the influence of the VIV criteria on the results of the optimization tool.

scholarly journals Optimal Design of Submarine Pipelines by a Genetic Algorithm with Embedded On-Bottom Stability Criteria

2018 ◽  
Vol 2018 ◽  
pp. 1-21 ◽  
Author(s):  
Juliana Souza Baioco ◽  
Mauro Henrique Alves de Lima ◽  
Carl Horst Albrecht ◽  
Beatriz Souza Leite Pires de Lima ◽  
Breno Pinheiro Jacob ◽  
...  
Keyword(s):  
Design Methodology ◽  
Visual Inspection ◽  
Stability Criteria ◽  
Submarine Pipeline ◽  
Computational Tool ◽  
Design Time ◽  
The Stability ◽  
Definition Of ◽  
Seabed Bathymetry ◽  
Pipeline Design

This work describes a computational tool, based on an evolutionary algorithm, for the synthesis and optimization of submarine pipeline routes considering the incorporation of on-bottom stability criteria (OBS). This comprises a breakthrough in the traditional pipeline design methodology, where the definition of a route and the stability calculations had been performed independently: firstly, the route is defined according to geographical-topographical issues (including manual/visual inspection of seabed bathymetry and obstacles); afterwards, stability is verified, and mitigating procedures (such as ballast weight) are specified. This might require several design spirals until a final configuration is reached, or (most commonly) has led to excessive costs for the mitigation of instability problems. The optimization tool evaluates each candidate route by incorporating, as soft and hard constraints, several criteria usually considered in the manual design (pipeline length, bathymetry data, obstacles); also, with the incorporation of OBS criteria into the objective function, stability becomes an integral part of the optimization process, simultaneously handling minimization of length and cost of mitigating procedures. Case studies representative of actual applications are presented. The results show that OBS criteria significantly influences the best route, indicating that the tool can reduce the design time of a pipeline and minimize installation/operational costs.

Optimal synthesis of four-bar motion generator linkages using circular proximity function

2016 ◽  
Vol 231 (5) ◽  
pp. 892-908 ◽  
Author(s):  
Sahand Hadizadeh Kafash ◽  
Ali Nahvi
Keyword(s):  
Differential Evolution ◽  
Objective Function ◽  
Case Studies ◽  
Computational Cost ◽  
Optimal Synthesis ◽  
Optimization Process ◽  
Proximity Function ◽  
Advantages And Disadvantages ◽  
Cartesian Space ◽  
Motion Generator

In this paper, a new objective function named circular proximity function (CPF) is proposed for the synthesis of four-bar motion generator linkages. This function is designed to measure the similarity of a group of points in Cartesian space to a circular curve. This function lowers the number of optimization variables to only two variables reducing the computational cost significantly. The optimization process has been carried out by the method of Differential Evolution (DE). Four case studies have been investigated in this study to demonstrate the advantages and disadvantages of the proposed method.

Multi-Objective Optimization of Subsea Pipeline Routes in Shallow Waters

2017 ◽  
Author(s):  
Juliana Souza Baioco ◽  
Carl Horst Albrecht ◽  
Beatriz Souza Leite Pires de Lima ◽  
Breno Pinheiro Jacob ◽  
Djalene Maria Rocha
Keyword(s):  
Evolutionary Algorithms ◽  
Hydrodynamic Stability ◽  
Static Stability ◽  
Shallow Waters ◽  
Lateral Stability ◽  
Multi Objective Optimization ◽  
Submarine Pipeline ◽  
Computational Tool ◽  
Environmental Loads ◽  
Multi Objective

This paper presents recent advances regarding a computational tool, based in Evolutionary Algorithms, for the synthesis and optimization of submarine pipeline routes. Previous works by the authors have focused on some specific issues related to the development of this tool, including the incorporation of engineering criteria such as on-bottom stability (OBS), VIV-induced fatigue in free-spanning pipelines, and flow assurance. Now, this work studies the influence of different OBS criteria for particular scenarios in shallow waters, where it is expected that the environmental loads of wave and current play a more important role on the hydrodynamic stability of the pipe. Case studies are presented, to compare the influence of OBS criteria proposed by the DNV RP-F109 code (Absolute Lateral Static Stability, and Generalized Lateral Stability), both implemented into a multi-objective procedure (using specialized algorithms based on the Pareto approach) along with other engineering criteria (VIV-induced fatigue and multiphase flow).

Missile Guidance Algorithm Design Using Particle Swarm Optimization

2013 ◽  
Vol 284-287 ◽  
pp. 2411-2415
Author(s):  
Chien Chun Kung ◽  
Kuei Yi Chen
Keyword(s):  
Objective Function ◽  
Fitness Function ◽  
Equations Of Motion ◽  
Algorithm Design ◽  
Solution Space ◽  
Pso Algorithm ◽  
Local Optimum ◽  
Missile Guidance ◽  
Pursuit Evasion ◽  
Guidance Algorithm

This paper presents a technique to design a PSO guidance algorithm for the nonlinear and dynamic pursuit-evasion optimization problem. In the PSO guidance algorithm, the particle positions of the swarm are initialized randomly within the guidance command solution space. With the particle positions to be guidance commands, we predict and record missiles’ behavior by solving point-mass equations of motion during a defined short-range period. Taking relative distance to be the objective function, the fitness function is then evaluated according to the objective function. As the PSO algorithm proceeds, these guidance commands will migrate to a local optimum until the global optimum is reached. This paper implements the PSO guidance algorithm in two pursuit-evasion scenarios and the simulation results show that the proposed design technique is able to generate a missile guidance law which has satisfied performance in execution time, terminal miss distance, time of interception and robust pursuit capability.

scholarly journals Balancing and Simulation of a Double Crank-Rocker Engine Model for Optimum Reduction of Shaking Forces and Shaking Moments

2021 ◽  
Vol 8 (2) ◽  
pp. 237-245
Author(s):  
Anwr M. Albaghdadi ◽  
Masri B. Baharom ◽  
Shaharin A. Sualiman
Keyword(s):  
Dynamic Analysis ◽  
Objective Function ◽  
Conventional Method ◽  
Optimization Process ◽  
New Model ◽  
Engine Model ◽  
Design Variables ◽  
Driving Torque ◽  
Related Design ◽  
Shaking Moment

In this paper, a new configuration of Crank-Rocker (CR) model has been proposed by duplicating its mechanism. The method has been implemented to overcome vibration problem on a single-piston Crank-Rocker engine caused by system unbalance. The new method suggests combining conventional method of adding counterweights to reduce shaking forces and eliminating the inertial moments on system by implementing the new layout. A dynamic study of the new model is presented, then the objective function is derived and implemented to perform the optimization process. Related design variables and system constraints are introduced to determine attached counterweights optimized characteristics. For results validation, the simulation, dynamic analysis, and optimization process were conducted using ADAMS VIEW® software. The output results were presented and discussed to verify the validity of the suggested method. It was noticed that the method was very effective and has managed to reduce the total shaking forces by about 91%, shaking moment by about 66%; and the driving torque by 27%.

scholarly journals Uranium Isotopes Separation Technique

2015 ◽  
Vol 56 ◽  
pp. 37-46
Author(s):  
Iman Tarik Al-Alawy ◽  
Raghad Saadoon Mohammed ◽  
Mohammed Zorah Hassan ◽  
Waleed Jabar Mhanah
Keyword(s):  
Simple Model ◽  
Objective Function ◽  
Isotope Separation ◽  
Separation Technique ◽  
Optimization Process ◽  
Uranium Isotopes ◽  
Physical Processes ◽  
Ion Extraction ◽  
Laser Isotope Separation ◽  
Isotopes Separation

This work describes the atomic laser isotope separation (LIS). The (LIS) plant means calculating the values of a large number of parameters in order to optimize some objective function. Here we use simple model to describe the elementary physical processes: evaporation, vapor expansion, interaction between photons and atoms, ion extraction etc...concentrated on theoretical and empirical bases. An optimization process for the separation of Uranium isotopes is described and discussed.

scholarly journals Evolving Solutions to Community-Structured Satisfiability Formulas

2019 ◽  
Vol 33 ◽  
pp. 2346-2353
Author(s):  
Frank Neumann ◽  
Andrew M. Sutton
Keyword(s):  
Community Structure ◽  
Evolutionary Algorithms ◽  
Objective Function ◽  
Search Space ◽  
Propositional Satisfiability ◽  
Satisfying Assignment ◽  
Distance Correlation ◽  
Strong Signal ◽  
Fitness Distance Correlation ◽  
Correlation Properties

We study the ability of a simple mutation-only evolutionary algorithm to solve propositional satisfiability formulas with inherent community structure. We show that the community structure translates to good fitness-distance correlation properties, which implies that the objective function provides a strong signal in the search space for evolutionary algorithms to locate a satisfying assignment efficiently. We prove that when the formula clusters into communities of size s ∈ ω(logn) ∩O(nε/(2ε+2)) for some constant 0

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