scholarly journals Optimum Design of Pile Foundation by Automatic Grouping Genetic Algorithms

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Xiaofeng Liu ◽  
Gengdong Cheng ◽  
Bo Wang ◽  
Shuzhi Lin
Keyword(s):  
Genetic Algorithms ◽  
Cost Optimization ◽  
Minimum Cost ◽  
Design Stage ◽  
Cardinality Constraint ◽  
Design Constraints ◽  
Concurrent Optimization ◽  
Modular Method ◽  
Automatic Grouping ◽  
Pile Length

This paper studies the optimum conceptual design of pile foundations at the initial design stage. A modular method is proposed, which divides the foundation into modules and each module is identified by its characteristics of pile length, diameter, number and layout. Modules with the same characteristics may be packed and represented by a design variable. A minimum-cost optimization model with multiple design constraints based on Chinese code and a cardinality constraint is built to achieve the concurrent optimization of pile size and layout. The model is solved by the improved automatic grouping genetic algorithms to obtain the design with optimal variables and optimal variable grouping. A practical example demonstrates the effectiveness of the proposed approach.

scholarly journals Analog Circuit Design Automation Tool Using Genetic Algorithms

1970 ◽  
Vol 1 (1) ◽  
Author(s):  
Y. M. A. Khalifa ◽  
D. H. Horrocks
Keyword(s):  
Genetic Algorithms ◽  
Circuit Design ◽  
Analog Circuits ◽  
Computer Aided Design ◽  
Degrees Of Freedom ◽  
Analog Circuit ◽  
Search Space ◽  
Design Stage ◽  
Specific Frequency ◽  
Aided Design

An investigation into the application of Genetic Algorithms (GA) for the design of electronic analog circuits is presented in this paper. In this paper an investigation of the use of genetic algorithms into the problem of analog circuits design is presented. In a single design stage, circuits are produced that satisfy specific frequency response specifications using circuit structures that are unrestricted and with component values that are chosen from a set of preferred values. The extra degrees of freedom resulting from unbounded circuit structures create a huge search space. It is shown in this paper that Genetic Algorithms can be successfully used to search this space. The application chosen is a LC all pass ladder filter circuit design.Key Words: Computer-Aided Design, Analog Circuits, Artificial Intelligence.

scholarly journals Development of 3D Printed Symbrachydactyly Prosthetic Hand

2019 ◽  
Vol 9 (1) ◽  
pp. 5943-5947
Keyword(s):  
3D Printing ◽  
Minimum Cost ◽  
Acrylonitrile Butadiene Styrene ◽  
Design Stage ◽  
Patient Specific ◽  
Prosthetic Hand ◽  
Simple Task ◽  
3D Printed ◽  
Electrical Component ◽  
Hand Geometry

Symbrachydactyly is a genetical problem occurred to newborn where the newborn experienced underdeveloped or shorten fingers. This condition will limit their normal as even a simple task of holding an item or pushing a button. A device is needed to help them gain a better life. The aim of this project is to fabricate a customized prosthesis hand using 3D printing technology at minimum cost. The proposed prosthetic was not embedded with any electrical component. The patient can only use the wrist to control the prosthetic part which is the prosthetic fingers. The prosthetic hand was also being developed with the patient specific features, which the initial design stage was adapted from a person’s hand geometry using a 3D scanner. Next the model of the prosthesis was analyzed computationally to predict the performance of the product. Different material properties are considered in the analysis to present Polylactic Acid (PLA) and Acrylonitrile Butadiene Styrene (ABS) materials. Then, the prosthesis was fabricated using the 3D printing. The results suggested that PLA material indicated better findings and further be fabricated.

The Effects of Inlet Flow Rates and Slenderness Ratio on the Separation Performance of a Horizontal Three-Phase Separator

2021 ◽  
pp. 1-14
Author(s):  
T. G. Ahmed ◽  
P. A. Russell ◽  
N. Makwashi ◽  
F. Hamad ◽  
S. Gooneratne
Keyword(s):  
Flow Rate ◽  
Liquid Flow ◽  
Gas Flow ◽  
Liquid Flow Rate ◽  
Slenderness Ratio ◽  
Cost Optimization ◽  
Minimum Cost ◽  
Separation Performance ◽  
Three Phase ◽  
Gradient Change

Summary In the first part of this work, the development of a capital cost optimization model for sizing three-phase separators was described. The developed model uses generalized reduced gradient nonlinear algorithms to determine the minimum cost associated with the construction of horizontal separators subject to four sets of constraints. In the second part, an experimental test rig was designed and used to investigate the effect of gas flow rate, liquid flow rate, and slenderness ratio (L/D) on the separation performance of horizontal three-phase separators. The results indicated an inverse relationship between an increase in gas and liquid flow rate and the separator outlet quality. It also indicated a direct relationship between an increase in slenderness ratio and separator outlet quality. The results also showed that the gradient change of the percentage of water in the oil outlet with respect to slenderness ratio decreased to ratios of 6:1. Hence, the separation rate increased. At ratios greater than 6:1, the separation still increases, but the gradient change in separation drops off, implying that the benefit in terms of separation is diminishing beyond this point. Therefore, the optimal slenderness ratio for technical reasons is 6:1.

Cost Optimization at Design Stage by Implementing Barefoot Completion in Carbonate Reservoir

2020 ◽  
Author(s):  
Hasyimah Ghazali ◽  
Caesar Sokatte Bernard ◽  
Fakhrul Radzi Zahri ◽  
Nur Sakinah Khairul Salleh ◽  
Harni Farihah M. Safari Lai ◽  
...  
Keyword(s):  
Cost Optimization ◽  
Carbonate Reservoir ◽  
Design Stage

Cost Optimization of a Localized Irrigation System Using Genetic Algorithms

2010 ◽  
pp. 29-36 ◽  
Author(s):  
Mônica Sakuray Pais ◽  
Júlio César Ferreira ◽  
Marconi Batista Teixeira ◽  
Keiji Yamanaka ◽  
Gilberto Arantes Carrijo
Keyword(s):  
Genetic Algorithms ◽  
Irrigation System ◽  
Cost Optimization

The Influence of Engine Characteristics on Patrol Aircraft Life Cycle Cost Optimization

1982 ◽  
Author(s):  
A. J. Schuetz
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
High Speed ◽  
Cost Optimization ◽  
Life Cycle Costs ◽  
Design Constraints ◽  
Performance Requirements ◽  
Aircraft Performance ◽  
Antisubmarine Warfare ◽  
Flight Profile

A conceptual design study has been conducted for an all-new, land-based patrol aircraft for the U.S. Navy. The selected propulsion system was a conceptual high-speed turboprop. An antisubmarine warfare mission was chosen for the design flight profile. Probable peacetime utilization was postulated so that the engine duty cycle could be estimated. Aircraft designs were optimized for minimum takeoff gross weight (TOGW) and for minimum life cycle cost (LCC). It was shown that the aircraft performance requirements and design constraints bound the optimization process so tightly that the same point design is obtained for both TOGW and LCC criteria. The contribution of the engine costs to the overall life cycle costs was examined. The sensitivity of the aircraft optimization to the engine characteristics — specific fuel consumption (SFC), length, diameter, and cost — was analyzed. It was determined that SFC is the most significant engine characteristic.

Shape Optimization of a Camoid Follower Surface

2008 ◽  
Author(s):  
Karim A. Aguib ◽  
Keith A. Hekman ◽  
Ashraf O. Nassef
Keyword(s):  
Genetic Algorithms ◽  
Shape Optimization ◽  
Three Dimensional ◽  
Characteristic Surface ◽  
Design Constraints ◽  
B Splines ◽  
Surface Interpolation ◽  
Specific Objective ◽  
Interpolation Technique ◽  
Real Coded Genetic Algorithms

Camoids are three dimensional cams that can produce more complex follower output than plain disc cams. A camoid follower motion is described by a surface rather than a curve. The camoid profile can be directly synthesized once the follower surface is fully described. To define a camoid follower motion surface it is required that the surface pass by all predefined constraints. Constraints can be follower position, velocity and acceleration. These design constraints are scattered all along the camoid follower surface. Hence a fitting technique is needed to satisfy these constraints which include position and its derivatives (velocity and acceleration). Furthermore if the fitting function can be of a parametric nature, then it would be possible to optimize the follower surface to obtain better performance according to a specific objective. Previous research has established a method to fit camoid follower surface positions, but did not tackle the satisfaction of derivative constraints. This paper presents a method for defining a camoid follower characteristic surface B-Splines on two steps first synthesizing the sectional cam curves then using a surface interpolation technique to generate the follower characteristic surface. The fitting technique is parametric in nature which allows for its optimization. Real coded Genetic algorithms are used to optimize the parameters of the surface to meet a specified objective function. A demonstration problem to illustrate the suggested methodology is presented.

Sign in / Sign up

Export Citation Format

Share Document