Reusable Surrogate Models for the Preliminary Design of Aircraft Application Systems

AIAA Journal ◽  
2021 ◽  
pp. 1-13
Author(s):  
Francesco De Giorgi ◽  
Marc Budinger ◽  
Ion Hazyuk ◽  
Aurelien Reysset ◽  
Florian Sanchez
Keyword(s):  
Surrogate Models ◽  
Preliminary Design ◽  
Application Systems ◽  
Aircraft Application

Building Surrogate Models Based on Detailed and Approximate Simulations

2004 ◽  
Author(s):  
Zhiguang Qian ◽  
Carolyn Conner Seepersad ◽  
V. Roshan Joseph ◽  
C. F. Jeff Wu ◽  
Janet K. Allen
Keyword(s):  
Design Space ◽  
Surrogate Models ◽  
Computational Time ◽  
Preliminary Design ◽  
New Approach ◽  
Alternative Approach ◽  
Repeated Use ◽  
Computationally Expensive ◽  
The Relationship ◽  
Integrate Data

Preliminary design of a complex system often involves exploring a large design space. This may require repeated use of computationally expensive simulations. To ease the computational burden, surrogate models are built to provide rapid approximations of more expensive models. However, the surrogate models themselves are often expensive to build because they are based on repeated experiments with computationally expensive simulations. An alternative approach is to replace the detailed simulations with simplified approximate simulations, thereby sacrificing accuracy for reduced computational time. Naturally, surrogate models built from these approximate simulations will also be imprecise. A strategy is needed for improving the precision of surrogate models based on approximate simulations without significantly increasing computational time. In this paper, a new approach is taken to integrate data from approximate and detailed simulations to build a surrogate model to describe the relationship between output and input parameters. Experimental results from approximate simulations form the bulk of the data, and they are used to build a model based on a Gaussian process. The fitted model is then ‘adjusted’ by incorporating small amounts of data from detailed simulations to obtain a more accurate prediction model. The effectiveness of this approach is demonstrated with a design application for a cellular material that is used to cool a microprocessor. The emphasis is on the method and not on the results per se.

Building Surrogate Models Based on Detailed and Approximate Simulations

2005 ◽  
Vol 128 (4) ◽  
pp. 668-677 ◽  
Author(s):  
Zhiguang Qian ◽  
Carolyn Conner Seepersad ◽  
V. Roshan Joseph ◽  
Janet K. Allen ◽  
C. F. Jeff Wu
Keyword(s):  
Electronics Cooling ◽  
Surrogate Models ◽  
Computational Time ◽  
Preliminary Design ◽  
New Approach ◽  
Alternative Approach ◽  
Repeated Use ◽  
Computationally Expensive ◽  
The Relationship ◽  
Integrate Data

Preliminary design of a complex system often involves exploring a broad design space. This may require repeated use of computationally expensive simulations. To ease the computational burden, surrogate models are built to provide rapid approximations of more expensive models. However, the surrogate models themselves are often expensive to build because they are based on repeated experiments with computationally expensive simulations. An alternative approach is to replace the detailed simulations with simplified approximate simulations, thereby sacrificing accuracy for reduced computational time. Naturally, surrogate models built from these approximate simulations are also imprecise. A strategy is needed for improving the precision of surrogate models based on approximate simulations without significantly increasing computational time. In this paper, a new approach is taken to integrate data from approximate and detailed simulations to build a surrogate model that describes the relationship between output and input parameters. Experimental results from approximate simulations form the bulk of the data, and they are used to build a model based on a Gaussian process. The fitted model is then “adjusted” by incorporating a small amount of data from detailed simulations to obtain a more accurate prediction model. The effectiveness of this approach is demonstrated with a design example involving cellular materials for an electronics cooling application. The emphasis is on the method and not on the results per se.

PENGARUH KUALITAS INFORMASI DAN KUALITAS LAYANAN TERHADAP SIKAP DALAM PENGGUNAAN SISTEM APLIKASI DENGAN KEMUDAHAN PENGGUNAAN SEBAGAI VARIABEL INTERVENING PADA JASA TRANSPORTASI ONLINE (GOJEK) DI YOGYAKARTA

2019 ◽  
Vol 27 (2) ◽  
pp. 119-133
Author(s):  
Putri Aprilia Isnaini ◽  
Ida Bagus Nyoman Udayana
Keyword(s):  
Social Media ◽  
Quality Of Service ◽  
Information Quality ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Quality Of Services ◽  
Quality Of Information ◽  
Transportation Services ◽  
Application Systems

This writing is done to determine the effect of information quality and service quality on attitudes in the use of application systems with the ease of use of the system as an intervining variable in online transportation services (gojek) in Yogyakarta. The sample in this study is customers who use online motorcycle transportation services in Yogyakarta. The sampling technique uses accidental sampling technique. Data collection is done by distributing online questionnaires through the Goegle form and distributed with social media such as WhatsApp and Instagram on a 1-4 scale to measure 4 indicators. The results of this study show 1) the quality of information affects the ease of use, 2) the quality of service affects the ease of use, 3) the quality of information influences attitudes in use, 4) the quality of services does not affect attitudes in use, and 5) ease of use attitude in use.

PROTOTIPE APLIKASI PENYIRAMAN TANAMAN MENGGUNAKAN SENSOR KELEMBABAN TANAH BERBASIS MICRO CONTOLLER ATMEGA 328

2019 ◽  
Vol 5 (1) ◽  
pp. 97-106
Author(s):  
Rudi Budi Agung ◽  
Muhammad Nur ◽  
Didi Sukayadi
Keyword(s):  
Soil Moisture ◽  
Growth And Development ◽  
Large Scale ◽  
Simple Method ◽  
Moisture Sensor ◽  
Sensor Development ◽  
Soil Moisture Sensor ◽  
Application Systems ◽  
Harvesting Systems ◽  
Working Principle

The Indonesian country which is famous for its tropical climate has now experienced a shift in two seasons (dry season and rainy season). This has an impact on cropping and harvesting systems among farmers. In large scale this is very influential considering that farmers in Indonesia are stilldependent on rainfall which results in soil moisture. Some types of plants that are very dependent on soil moisture will greatly require rainfall or water for growth and development. Through this research, researchers tried to make a prototype application for watering plants using ATMEGA328 microcontroller based soil moisture sensor. Development of application systems using the prototype method as a simple method which is the first step and can be developed again for large scale. The working principle of this prototype is simply that when soil moisture reaches a certainthreshold (above 56%) then the system will work by activating the watering system, if it is below 56% the system does not work or in other words soil moisture is considered sufficient for certain plant needs.

The Minnesota inverted-tee system: Parametric studies for preliminary design

PCI Journal ◽  
2012 ◽  
Vol 57 (2) ◽  
pp. 162-179
Author(s):  
Roberto Piccinin ◽  
Arturo E. Schultz
Keyword(s):  
Preliminary Design ◽  
Parametric Studies

GEOMETRY OPTIMIZATION OF AIR-ASSISTED SWIRL NOZZLE BASED ON SURROGATE MODELS AND COMPUTATIONAL FLUID DYNAMICS

2019 ◽  
Vol 29 (7) ◽  
pp. 605-628
Author(s):  
Zongli Yi ◽  
Li Hou ◽  
Qi Zhang ◽  
Yousheng Wang ◽  
Yunxia You
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Geometry Optimization ◽  
Surrogate Models
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