Baru-baru ini, jumlah kerosakan rumah akibat bencana angin telah meningkat di Malaysia. Daripada kajian sebelum ini, kawasan yang paling terdedah kepada bencana angin ialah wilayah utara Semenanjung Malaysia yang terdiri daripada kawasan tanah lapang. Bencana yang berlaku ini kebanyakannya menjejaskan bumbung rumah, terutamanya rumah kampung kerana konsep pembinaannya tanpa ciri-ciri kejuruteraan. Terdapat banyak faktor yang mempengaruhi bumbung terbang, antaranya adalah ketinggian jurang antara rumah dapur dan rumah teras. Rumah kampung yang tipikal di Malaysia telah dimodelkan dengan lima variasi ketinggian jurang dan dua kecuraman bumbung yang berbeza iaitu 12 °C dan 27 °C. Kaedah pengiraan bendalir dinamik (CFD) dengan pergolakan model jenis RNG k- ε telah digunakan untuk menentukan pekali tekanan di sekeliling model dan corak aliran angin dengan kehadiran jurang. Berdasarkan keputusan dari ANSYS, kontur pekali tekanan dan corak aliran angin telah diperolehi. Hasil kajian menunjukkan bahawa ketinggian jurang yang paling kecil di antara bumbung memberikan pekali tekanan terbesar pada permukaan model manakala ketinggian jurang terbesar memberi pusaran yang terbesar didalam jurang. Ini kerana kehadiran pusaran akan mengurangkan pekali tekanan di permukaan model.
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Recently, the number of house damaged due to wind disaster has increased in Malaysia. From the previous data, the area most susceptible to wind disaster is the northern region of Peninsular Malaysia. This is due to the open terrain condition of the field. The disasters that occur mostly affect the roof of the house, especially a rural house due to their non-engineeering concept. There are many factors that influence the blown off of a roof which includes the gap height between the kitchen house and the core house. A typical Malaysian rural house with a low-rise gable roofs building is modelled with five variations of gap height and two different roof pitch, which are 12 °C and 27 °C . Computational Fluid Dynamic (CFD) was used with the RNG k-ε type of turbulence model to determine the pressure coefficient around the model and the wind flow pattern with the present of a gap. Based on the result from ANSYS, the contour of pressure coefficient and wind flow pattern has been obtained. From the study, it shows that the smallest gap height between the roof gives the largest maximum pressure coefficient at the model surface while the largest gap height give the largest vortex in the gap. This is because the presence of vortex will reduce the pressure coefficient at the model’s surface.
Effects of gap height on rural houses using computational fluid dynamic (CFD) / Wan Nurfariza Wan Yahya