scholarly journals Multi-objective optimisation as an early design tool for smart ship internal arrangement

2021 ◽  
pp. 1-11
Author(s):  
Panagiotis Louvros ◽  
Evangelos Boulougouris ◽  
Andrea Coraddu ◽  
Dracos Vassalos ◽  
Gerasimos Theotokatos
Keyword(s):  
Design Tool ◽  
Early Design ◽  
Multi Objective ◽  
Internal Arrangement

A Multi-variable & Multi-objective Optimization Framework for LID Layout in Sponge City

2021 ◽  
Author(s):  
Sijie Tang ◽  
Jiping Jiang ◽  
Yi Zheng
Keyword(s):  
Ecological Factors ◽  
Green Roofs ◽  
Design Tool ◽  
Distribution Area ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Sponge City ◽  
Multi Objective ◽  
Optimization Framework ◽  
City Construction

<p>Practitioners usually design the plan of Sponge City construction (SCC) by combining LID facilities (e.g., rain garden, rain barrels, green roofs, and grassed swales) according to their personal experiences or general guidelines. The layout (including selection, connection and distribution area) of LID facilities is subjective, in the risk of far from optimal combination. Previous researchers have developed some LID optimization tools, which only consider the dimension and number of LIDs in a given scenario. Therefore, it is necessary to develop a flexible and extensible design tool with the support of urban hydrological model to conduct the facilities layout optimization. This study introduced a SWMM-based multi-variable and multi-objective optimization framework called CAFID (Comprehensive Assessment and Fine Design Model of Sponge City) to meet this end. The assessment module with multi-objective couples diverse controlling end-points (e.g., total runoff, peak runoff, pollutant concentration, cost, and customized social-ecological factors) as the candidates of assessment criteria. The optimization module with multi-variable is implemented by SWMM, starting with three steps: 1) Full allocation. Based on the availability, list the candidates of LID facility for each sub-catchment; 2) Full connection. Order the potential stream direction of surface runoff from rainfall to municipal network, based on possible hierarchical structure of sub-catchments and LID facilities; 3) Full coverage. Identify all the suitable area for LID facility in sub-catchment. The optimization on the 3 variables, the selection, connection, and area, is powered by NSGA-II and TOPSIS algorithms, which make it possible that we choose a final result from the set of nondominated solutions according to special weight distribution. The effectiveness of CAFID was illustrated through a case of Sponge City in Fenghuangcheng of Shenzhen City, one of 30 national pilot sponge cities in China. As well, this new framework is expected to be widely verified and applied in Sponge City construction in China or similar concepts all over the world.</p>

Multi-objective optimisation for building integrated photovoltaics (BIPV) roof projects in early design phase

2022 ◽  
Vol 309 ◽  
pp. 118476
Author(s):  
W.M. Pabasara Upalakshi Wijeratne ◽  
Tharushi Imalka Samarasinghalage ◽  
Rebecca Jing Yang ◽  
Ron Wakefield
Keyword(s):  
Design Phase ◽  
Early Design ◽  
Multi Objective ◽  
Building Integrated Photovoltaics ◽  
Early Design Phase

Effect of Model Element Fidelity Within a Complex Function-Based Behavioral Model

2008 ◽  
Author(s):  
Ryan S. Hutcheson ◽  
Daniel A. McAdams ◽  
Robert B. Stone ◽  
Irem Y. Tumer
Keyword(s):  
Complex Function ◽  
Behavioral Model ◽  
Design Tool ◽  
Prior Work ◽  
Behavioral Models ◽  
Early Design ◽  
Formula Sae ◽  
Model Fidelity ◽  
Performance Predictions ◽  
The Impact

The Function-based Behavioral Modeling (FBBM) design tool was introduced in prior work as a means of using formal functional modeling as the foundation for creating detailed mathematical models of system behavior. The overall objective of this work is to create a framework for partitioning modeling efforts into functional elements and promoting model storage and re-use through the use of functional models. In prior work, the FBBM method was introduced to model the complete vehicle dynamics of a Formula SAE racecar, highlighting the representation of functionality and the development of behavioral models. The objective of the work presented in the current paper is to demonstrate the ability to incorporate models of varying fidelity within a function-based behavioral model of a complex system. Additionally, the impact of model fidelity on the model’s predictions is addressed. A previously developed model is used as a foundation for developing the necessary new models and illustrating the impact of model fidelity on performance predictions when selecting a tire during early design. The results illustrate that the FBBM framework allows models of varying fidelity to be quickly made and their effect on predicted performance to be measured in order to assist critical early design choices.

scholarly journals A Study on Multi-Objective Parametric Design Tool for Surround-Type Movable Shading Device

2019 ◽  
Vol 11 (24) ◽  
pp. 7096
Author(s):  
Ho-Jeong Kim ◽  
Chang-Seok Yang ◽  
Hyeun Jun Moon
Keyword(s):  
Solar Radiation ◽  
Parametric Design ◽  
Design Tool ◽  
Direct Solar Radiation ◽  
The South ◽  
Winter Solstice ◽  
Performance Simulation ◽  
Multi Objective ◽  
The One ◽  
Shading Device

This study presents a multi-objective parametric design tool for four-axis surround-type movable shading device using solar position tracking in Seoul, South Korea. In order to explore large numbers of possible forms of shades, generic algorithms are utilized with real-time simulation of the performative criteria such as solar radiation, daylight glare probability (DGP), and solar shielding rate on window surface. This study outlines a workflow using a multi-objective engine called Octopus that runs within Grasshopper 3D, a parametric design tool, in addition to environmental performance simulation plug-in Ladybug. The workflow utilizes a performance-based design tool, which allows the designer to explore, sort, and filter solutions, and visually compare alternative solutions in terms of energy saving and indoor daylight quality in order to determine the optimal form of shade changing its shape every one hour. The result of deriving and analyzing the optimal shade shape through the genetic algorithm proposed in this study is as follows: On the one hand, on the summer solstice, shade shapes with shielding areas of almost 100% should be derived to achieve the most effective reduction of the direct solar radiation. The proposed movable shading device reduced direct solar radiation by 52.40% and 57.20% in the south- and east-facing windows, respectively. On the other hand, in winter when solar heat gain is important, the absence of sunshade is optimal in terms of heating load. However, in order to improve the indoor light environment, it is confirmed that it is possible to derive a certain shape of sunshade according to the sun’s trajectory. On the winter solstice, the problem of glare arises from 10:00 to 15:00 in the south and 10:00 in the east. Therefore, the proposed four-axis movable shading device can be configured to have a minimum protrusion length satisfying DGP less than 0.35 in winter.

Multi-objective optimization-based method for kinematic posture prediction: development and validation

Robotica ◽  
2010 ◽  
Vol 29 (2) ◽  
pp. 245-253 ◽  
Author(s):  
Jingzhou (James) Yang ◽  
Tim Marler ◽  
Salam Rahmatalla
Keyword(s):  
Performance Measures ◽  
Human Performance ◽  
Design Tool ◽  
Upper Body ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Validation Criteria ◽  
Posture Prediction ◽  
Development And Validation ◽  
Digital Human

SUMMARYPosture prediction plays an important role in product design and manufacturing. There is a need to develop a more efficient method for predicting realistic human posture. This paper presents a method based on multi-objective optimization (MOO) for kinematic posture prediction and experimental validation. The predicted posture is formulated as a multi-objective optimization problem. The hypothesis is that human performance measures (cost functions) govern how humans move. Twelve subjects, divided into four groups according to different percentiles, participated in the experiment. Four realistic in-vehicle tasks requiring both simple and complex functionality of the human simulations were chosen. The subjects were asked to reach the four target points, and the joint centers for the wrist, elbow, and shoulder and the joint angle of the elbow were recorded using a motion capture system. We used these data to validate our model. The validation criteria comprise R-square and confidence intervals. Various physics factors were included in human performance measures. The weighted sum of different human performance measures was used as the objective function for posture prediction. A two-domain approach was also investigated to validate the simulated postures. The coefficients of determinant for both within-percentiles and cross-percentiles are larger than 0.70. The MOO-based approach can predict realistic upper body postures in real time and can easily incorporate different scenarios in the formulation. This validated method can be deployed in the digital human package as a design tool.

Demonstrating multi-objective screening of chemical batch process alternatives during early design phases

2010 ◽  
Vol 88 (5-6) ◽  
pp. 529-550 ◽  
Author(s):  
Thomas Albrecht ◽  
Stavros Papadokonstantakis ◽  
Hirokazu Sugiyama ◽  
Konrad Hungerbühler
Keyword(s):  
Batch Process ◽  
Early Design ◽  
Multi Objective

scholarly journals Commercial Building Facade Design: Improving the Consistency of Early Design Tool Predictions and Detailed Design Tool Calculations

2021 ◽  
Author(s):  
◽  
Chi-Yao Hsu
Keyword(s):  
Computer Software ◽  
Energy Performance ◽  
Simulation Software ◽  
Design Tool ◽  
Use Case ◽  
Design Tools ◽  
Commercial Building ◽  
Detailed Design ◽  
Early Design ◽  
Detailed Simulation

<p>The focus of this research is the concept of the 'Performance Sketch' tool. This is to use detailed simulation software to calculate (plausible) energy performance of designs quickly. Analogous to the Architectural Sketch the Performance Sketch uses high quality tools (detailed simulation) to create an accurate, but simple representation of the essential properties of a building, as opposed to a detailed representation. The aim of this research is to assess the consistency between the predictions produced by performance sketch design tools and the calculations produced by detailed design tools. The Lawrence Berkeley National Laboratory’s (LBNL) computer software COMFEN (COMmercial FENestration) is a performance sketch tool. It makes the power of the complex detailed design simulation package EnergyPlus available in the very early stages of the design process. It uses a single zone, single external façade EnergyPlus model to explore the costs and benefits of alternate façade designs. The hypothesis tested is that the COMFEN (single-zone) energy performance calculation method is plausible for early design analyses. It evaluates the performance sketch approach from three different points of view: first, COMFEN was introduced to various practitioners in the building industry to gather use-case feedback on the performance sketch approach. A list of specifications for performance sketch design tools was developed based on these use-cases. Second, it examines whether the optimum façade identified by COMFEN creates the optimum performance complex building when this optimum façade is incorporated into detailed building models. Finally, refinements of the nature of the performance sketch based on this use-case feedback were tested in EnergyPlus. The thesis concludes by drawing together these three threads into an outline of a practitioner-based definition of an ideal performance sketch which has been tested in practical application.</p>

scholarly journals Design of low-power CMOS VLSI circuits using multi-objective optimization in genetic algorithms

2021 ◽  
Vol 12 (1) ◽  
pp. 215-224
Author(s):  
Mahnoor Maghroori ◽  
Mehdi Dolatshahi
Keyword(s):  
Genetic Algorithms ◽  
Integrated Circuits ◽  
Circuit Simulation ◽  
Cmos Technology ◽  
Vlsi Circuits ◽  
Design Tool ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Cmos Vlsi

This paper presents a design CAD tool for automated design of digital CMOS VLSI circuits. In order to fit the circuit performance into desired specifications, a multi-objective optimization approach based on genetic algorithms (GA) is proposed and the transistor sizes are calculated based on the analytical equations describing the behavior of the circuit. The optimization algorithm is developed in MATLAB and the performance of the designed circuit is verified using HSPICE simulations based on 0.18µm CMOS technology parameters. Different digital integrated circuits were successfully designed and verified using the proposed design tool. It is also shown in this paper that, the design results obtained from the proposed algorithm in MATLAB, have a very good agreement with the obtained circuit simulation results in HSPICE.

SPEED - an early design tool for building services

1978 ◽  
Vol 10 (3) ◽  
pp. 185-191
Author(s):  
A.J. Baxter
Keyword(s):  
Design Tool ◽  
Early Design
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