Design Optimization of Hyperboloid Wooden House Concerning Structural, Cost, and Daylight Performance

Khidmat, Rendy Perdana; Fukuda, Hiroatsu; Kustiani, Kustiani -

doi:10.3390/buildings12020110

Cited by 9 publications

(4 citation statements)

References 55 publications

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“…Parametric modeling is a crucial tool for automated structural design, which can significantly improve design efficiency [19] and potentially benefit design creativity [20]. Existing studies have offered various parametric design systems that can automatically search for optimal solutions by combining optimization algorithms with parametric models [21][22][23][24]. However, these methods require structured design data as input and are difficult to apply to the unstructured design data obtained by GAN-based methods.…”

Section: Parametric Modelingmentioning

confidence: 99%

Integrated Schematic Design Method for Shear Wall Structures: A Practical Application of Generative Adversarial Networks

et al. 2022

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The intelligent design method based on generative adversarial networks (GANs) represents an emerging structural design paradigm where design rules are not artificially defined but are directly learned from existing design data. GAN-based methods have exhibited promising potential compared to conventional methods in the schematic design phase of reinforced concrete (RC) shear wall structures. However, for the following reasons, it is challenging to apply GAN-based approaches in the industry and to integrate them into the structural design process. (1) The data form of GAN-based methods is heterogeneous from that of the widely used computer-aided design (CAD) methods, and (2) GAN-based methods have high requirements on the hardware and software environment of the user’s computer. As a result, this study proposes an integrated schematic design method for RC shear wall structures, providing a workable GAN application strategy. Specifically, (1) a preprocessing method of architectural CAD drawings is proposed to connect the GAN with the upstream architectural design; (2) a user-friendly cloud design platform is built to reduce the requirements of the user’s local computer environment; and (3) a heterogeneous data transformation method and a parametric modeling procedure are proposed to automatically establish a structural analysis model based on GAN’s design, facilitating downstream detailed design tasks. The proposed method makes it possible for the entire schematic design phase of RC shear wall structures to be intelligent and automated. A case study reveals that the proposed method has a heterogeneous data transformation accuracy of 97.3% and is capable of generating shear wall layout designs similar to the designs of a competent engineer, with 225 times higher efficiency.

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Section: Parametric Modelingmentioning

confidence: 99%

Integrated Schematic Design Method for Shear Wall Structures: A Practical Application of Generative Adversarial Networks

et al. 2022

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“…Thus, it needs the base case for comparison before and after attempting to seek the potential of efficiency. This research aims to develop a benchmark model as a base case for further comparison needs regarding microclimate and environmental aspects, daylight and sun exposure, view outside, and energy consumption [25].…”

Section: Energy Simulation In Buildings With Rhino/grasshoppermentioning

confidence: 99%

Design of Innovative Parametric/Dynamic Façade Integrated in the Library Extension Building on UAEU Campus

et al. 2022

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The building industry is in constant change and the United Arab Emirates (UAE) is a leader in innovative solutions for green buildings. The standards used in achieving sustainable buildings, such as LEED, Estidama, have contributed to building structures that reduce energy consumption. More than 40% of the total energy is consumed by residential and commercial buildings as electricity. The strategies applied in a building in order to have low energy consumption vary depending on the region and climate. In the UAE, a country with a hot arid climate, these strategies have relevant importance. The aim of this study is to design an innovative parametric/dynamic façade in a new building, to be built on the United Arab Emirates University Campus, AL Ain, Abu Dhabi, UAE. The new structure is an additional library building (with additional functions to the current building). The design shall be based on the region’s architectural heritage. The modelling and simulation tools used are Rhino and plug-ins like Grasshopper. Furthermore, an optimization process of the parametric/dynamic façade is conducted. Based on the energy simulation results, the application of the innovative parametric/dynamic façade brings a reduction of 25% in the energy consumption of the building. In addition, the daylight improvement by the application of this façade is 44%. This research brings innovation in terms of the advanced tools used in calculating several parameters for the advanced façade and the process from concept to modeling and simulation. These findings are promising for regional industry due to the advanced tools and methods used. Moreover, it shall help the local authorities such as Abu Dhabi Municipality achieve the sustainability goals 2030.

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“…Due to China's long history and ethnic diversity, ancient wooden buildings with regional characteristics are widespread throughout the country [1][2][3]. These buildings have not only residential value but also are integrated into the local folklore, culture, history, economy, and natural scenery and have both historical and touristic value [4][5][6].…”

Section: Introduction 1introduction To Fire Spread Of Wooden Housesmentioning

confidence: 99%

Characteristics and Mechanism of Fire Spread between Full-Scale Wooden Houses from Internal Fires

et al. 2022

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In ancient villages, the spread of uninterrupted fires caused great damage to clustered wooden houses. Thus, the spread of fire among wooden houses should be systematically studied to explore its characteristics. Statistical analysis is a feasible way to study the characteristics and underlying mechanisms of fire in full-scale wooden houses. In this study, 4 full-scale wooden buildings were built in an ethnic village in Guizhou Province, and the fire spread test was conducted by igniting a 0.63-MW power wood crib. To investigate the fire spread, the visual characteristics were observed, and the temperatures and heat radiation at special locations were monitored with thermocouples and radiation flowmeters, respectively. The effect of relative slope, heat radiation, and wind direction on fire spread characteristics was established by mathematical statistics, and the measured temperatures were used to verify the statistics’ regularity. The results showed that in wooden houses, fire spread was mainly influenced by the slope, the distance between houses, and wind direction. When the inner wall of a wooden house is protected by a fireproof coating, the thermal radiation spread and fire spread are both slower. The slope and distance had the same influence weight (0.41) on fire spread; however, since they affect the process in different ways, they should be analyzed separately for fire risk evaluation. The findings of this study provide a theoretical foundation for understanding the fire spread process in wooden buildings.

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Design Optimization of Hyperboloid Wooden House Concerning Structural, Cost, and Daylight Performance

Cited by 9 publications

References 55 publications

Integrated Schematic Design Method for Shear Wall Structures: A Practical Application of Generative Adversarial Networks

Integrated Schematic Design Method for Shear Wall Structures: A Practical Application of Generative Adversarial Networks

Design of Innovative Parametric/Dynamic Façade Integrated in the Library Extension Building on UAEU Campus

Characteristics and Mechanism of Fire Spread between Full-Scale Wooden Houses from Internal Fires

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