000			02240cam a2200337 a 4500
003			EG-GiCUC
005			20250223032350.0
008			190902s2019 ua dho f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aPh.D
099			_aCai01.13.02.Ph.D.2019.Do.O
100	0		_aDoha Mohamed Saied
245	1	0	_aOptimizing parametric light shelf system performance in deep office spaces / _cDoha Mohamed Saied ; Supervised Ahmed Ahmed Fekry , Reham ElDessuky Hamed
246	1	5	_aتعظيم أداء عاكس الإضائة بالتصميم البارامترى للفراغات الإدارية العميقة
260			_aCairo : _bDoha Mohamed Saied , _c2019
300			_a219 P. : _bcharts , facsimiles , photoghraphs ; _c30cm
502			_aThesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Architectural Engineering
520			_aLiterature in the fields of numerical modeling and deep spaces light systems were reviewed. A reliable numerical model 2Rhino Grass Hopper3 was selected to perform a parametric study to select the adequate parameters to simulate deep office spaces to reach a reliable light system to them. Different parameters were tested and the most applicable of which were selected. This process was achieved several times until convergence was attained. A virtual deep space was set with certain dimensions and was investigated as case study. Results were obtained and analyzed from which guidelines were designated to design a light system with a reliable performance. Innovative about this study is the procedure of selecting the reliable parameters with a complicated numerical modeling technique, where 6552 and 427 runs were achieved. This technique is Parametric Genetic Algorithm, where it is inspired by natural selection to generate high-quality optimization
530			_aIssued also as CD
653		4	_aDeep spaces
653		4	_aLight shelf system
653		4	_aParametric
700	0		_aAhmed Ahmed Fekry , _eSupervisor
700	0		_aReham ElDessuky Hamed , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aShimaa _eCataloger
942			_2ddc _cTH
999			_c73604 _d73604