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All Journal JURNAL TEKNOLOGI LINGKUNGAN JOIV : International Journal on Informatics Visualization Journal of Aero Technology
fariduzzaman, fariduzzaman
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Computer Science & IT Environmental Science

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UJI LINGKUNGAN ANGIN DISEKITAR MODEL GEDUNG DI TEROWONGAN ANGIN fariduzzaman, fariduzzaman
Jurnal Teknologi Lingkungan Vol. 17 No. 2 (2016)
Publisher : Center for Environmental Technology - Agency for Assessment and Application of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1009.623 KB) | DOI: 10.29122/jtl.v17i2.105

Abstract

Gangguan angin sekitar gedung adalah kasus lingkungan yang penting karena bisa menimbulkan beberapa masalah, antara lain: penurunan tingkat kenyamanan dan produksi polusi udara. Hal ini juga bisa memacu kerusakan pada beberapa bagian struktur sekitarnya. Gangguan ini sudah tentu harus di antisipasi sejak awal konstruksi, yakni selama proses perancangan. Metoda yang paling praktis untuk mencari solusi masalah angin ini adalah dengan simulasi atau pengujian model di terowongan angin. Makalah akan menguraikan beberapa pengalaman penulis dalam simulasi lingkungan angin sekitar bangunan.
KAJIAN INTERAKSI TURBULENSI ANGIN DENGAN GETARAN INDUKSI VORTEX DEK JEMBATAN BENTANG PANJANG Fariduzzaman, Fariduzzaman
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Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (627.284 KB) | DOI: 10.29122/joat.v1i2.2974

Abstract

Wind over earth?s surface is naturally turbulent, where the contour of it  has direct influence to this flow structure of earth surface. During their life,long span bridges structure will experience various turbulence level of wind flow. It depends on location, whether in urban, suburban, seashore or bypass a strait.An experiment of a bridge model inLMWT (LAGG Mini Wind Tunnel) has been carried out, to study the effect of wind turbulence on a shape of deck that frequentlyused in Indonesia. The turbulence intensity (Iu) applied was coming from a turbulence generator.The experimental results has shown that the wind turbulence will cause an irregular (random) oscillation on the deck. At low turbulence, that is Iu less than 13%, Vortex Induced Vibration (VIV) clearly observed. However as Turbulence Intensity was increased the VIVoccurrence  isalso gradually disappear, covered by those random oscillation of the deck. Keywords:long span bridge, vortex induced vibration, wind turbulence, wind tunnel, deck oscillation AbstrakAliran angin di atas permukaan bumi adalah aliran yang selalu tubulen, dimana kontur permukaan bumi sangat berpengaruh langsung pada aliran permukaan bumi ini.Suatu struktur jembatan bentang panjang akan dilalui angin dengan tingkat turbulensi yang bervariasi, tergantung pada lokasi jembatan apakah di perkotaan, pedesaan, tepi pantai atau melintasi selat.Suatu eksperimen menggunakan terowongan angin LMWT (LAGG Mini Wind Tunnel), telah dilakukan untuk mengkaji efek turbulensi angin pada bentuk dek yang paling sering digunakan di Indonesia. Tingkat turbulensi (Iu)aliran pada dasarnya dipengaruhi oleh generator turbulen.Hasil eksperimen menunjukkan bahwa turbulensi angin mengakibatkan osilasi dek yang tak teratur (random). Pada Iu rendah, Getaran Induksi Vortex (GIV) jelas terlihat, namun semakin tinggi Iu semakin hilang tanda adanya GIV, tertutupi oleh osilasi dek yang random. Katakunci: jembatan bentang panjang, getaran induksi vortex, turbulen angin, terowongan angin, osilasi dek
Convolutional Neural Networks-Based For Predicting Aerodynamic Coefficient Of Airfoils At Ultra-Low Reynolds Number Kasman, Alief Sadlie; Zikri, Arizal Akbar; Fariduzzaman, Fariduzzaman; Srigutomo, Wahyu
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.2197

Abstract

Many applications, including airplane design, wind turbines, and heat transmission, use symmetric or asymmetric airfoils. Engineers employ these airfoil shapes to optimize performance and efficiency. Each airfoil has a unique set of aerodynamic coefficients that must be calculated to maximize the airfoil design. Engineers utilize numerous ways to calculate coefficients, such as lift and drag. One of the methods is the prediction method, which effectively reduces time and cost. This study's training dataset is obtained from particle-based numerical computation using the Lattice Boltzmann Method (LBM). Then, Convolutional Neural Networks (CNN) are used as a prediction method to get the aerodynamic coefficients of airfoils for lift and drag based on two different Reynolds numbers. In CNN, airfoil geometry representation is essential. The Signed Distance Function (SDF) was used to convert airfoil geometry into RGB pictures. On the other hand, the SDF method cannot explain different flow conditions; in this case, it is represented by the Reynolds number (Re). Therefore, we propose a Text-based Watermarking Method (TWM) to differentiate between Re = 500 and Re = 1000. Each airfoil representation was trained and tested to generate each prediction model using a modified LeNet-5. The computation results show that using CNN with TWM on SDF to define the Reynolds numbers could predict the lift and drag coefficients with varying angles of attack. Future research can focus on generalizations to different aerodynamic aspects and practical applications in complex scenarios.
Co-Authors Kasman, Alief Sadlie Wahyu Srigutomo Zikri, Arizal Akbar