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Exploring the synergy of building massing and façade design through evolutionary optimization 被引量:2
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作者 Likai Wang Han Zhang +1 位作者 Xuehan Liu Guohua Ji 《Frontiers of Architectural Research》 CSCD 2022年第4期761-780,共20页
In performance-based architectural design optimization, the design of building massings and façades is commonly separated, which weakens the effectiveness in performance improvement. In response, this study propo... In performance-based architectural design optimization, the design of building massings and façades is commonly separated, which weakens the effectiveness in performance improvement. In response, this study proposes a hybrid massing-façade integrated design generation and optimization workflow to integrate the two elements in an evolutionary design process. Compared with the existing approaches, the proposed workflow emphasizes the diversity of building design generation, with which various combinations of building massing forms and façade patterns can be systematically explored. Two case studies and a corresponding comparison study are presented to demonstrate the efficacy of the proposed workflow. Results show that the optimization can produce designs coupling the potential of building massings and façades in performance improvement. In addition, the optimization can provide information that supports early-stage architectural design exploration. Such information also enables the architect to understand the performance implications associated with the synergy of building massing and façade design. 展开更多
关键词 Performance-based design building massing Façade DAYLIGHTING Solar irradiation Discomfort glare Design exploration Early design stage Design optimization EvoMass
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Optimization-based design exploration of building massing typologies-EvoMass and a typology-oriented computational design optimization method for early-stage performance-based building massing design 被引量:1
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作者 Likai Wang Patrick Janssen Guohua Ji 《Frontiers of Architectural Research》 CSCD 2024年第6期1400-1422,共23页
In the past decade,there has been an increasing recognition of the role of computational design optimization in early-stage performance-based architectural design exploration.However,it remains challenging for designe... In the past decade,there has been an increasing recognition of the role of computational design optimization in early-stage performance-based architectural design exploration.However,it remains challenging for designers to apply such optimization-based design explorations in practice.To address this issue,this paper introduces a design tool,called EvoMass,and an associated design method that facilitates design exploration for building massing typologies in performance-based design tasks.EvoMass is capable of offering architects design options reflecting performance-related building massing typologies for the design task,without necessitating advanced computational design skills.More importantly,it can provide architects with insights into the underlying performance implications,thereby enhancing early-stage performance-based design exploration.EvoMass and its associated design method overcome the limitation in the conventional typology-first-optimization-second design procedure adopted by most existing tools,and it promotes a typology-oriented design exploration method of using computational optimization in performance-based architectural design.To demonstrate the efficacy of EvoMass,case studies derived from architectural design studio tasks,incorporating daylighting,solar exposure,and subjective design intents,and the result of a user survey are presented,which highlights how EvoMass and the performance-based design optimization and exploration can enable architects to achieve a more performance-aware design. 展开更多
关键词 Computational design Design optimization Design exploration Design process building typology building massing
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Building dynamic thermal simulation of low-order multi-dimensional heat transfer 被引量:1
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作者 高岩 范蕊 +1 位作者 张群力 J.J.ROUX 《Journal of Central South University》 SCIE EI CAS 2014年第1期293-302,共10页
Multi-dimensional heat transfers modeling is crucial for building simulations of insulated buildings,which are widely used and have multi-dimensional heat transfers characteristics.For this work,state-model-reduction ... Multi-dimensional heat transfers modeling is crucial for building simulations of insulated buildings,which are widely used and have multi-dimensional heat transfers characteristics.For this work,state-model-reduction techniques were used to develop a reduced low-order model of multi-dimensional heat transfers.With hot box experiment of hollow block wall,heat flow relative errors between experiment and low-order model predication were less than 8% and the largest errors were less than 3%.Also,frequency responses of five typical walls,each with different thermal masses or insulation modes,the low-order model and the complete model showed that the low-order model results agree very well in the lower excitation frequency band with deviations appearing only at high frequency.Furthermore,low-order model was used on intersection thermal bridge of a floor slab and exterior wall.Results show that errors between the two models are very small.This low-order model could be coupled with most existing simulation software for different thermal mass envelope analyses to make up for differences between the multi-dimensional and one-dimensional models,simultaneously simplifying simulation calculations. 展开更多
关键词 building envelope thermal mass thermal bridge model reduction buildings simulation
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