ARTÍCULO
TITULO

Generative model and fixing guidelines for modular volumetric architecture

Alessandra Teribele    
Benamy Turkienicz    

Resumen

Prefabricated Modular Volumetric Architecture (PMVA) needs to combine industrial-made modules with limited dimensions due to transport restrictions to attend to programs, increase space, and generate forms. Different compositions change the position and quantity of structural components and require other attributes for the connections used to fix the modules and define the building at the building site. In this study, a connective model is proposed enabling multiple compositional alternatives along with the corresponding connective guidelines. Four generic connective sets are used to simulate and define the connective guidelines, and they are then applied to three types of prisms: rectangular, trapezoidal, and triangular. The methodology, which is based on shape grammar, confirms that the use of compositional alternatives with this system depend on the geometric and constructive attributes of the connective set used to fix the modules together. The compositional variation is therefore closely linked to a compositional-connective relation and to connective sets submitted to different degrees of adjustment. The proposed model opens the way for the industry to change the connective sets used and broaden the combinatorial capacity of chassis and thereby increase the capability for mass customization.

 Artículos similares

       
 
Hexin Lu, Xiaodong Zhu, Jingwei Cui and Haifeng Jiang    
The process of iris recognition can result in a decline in recognition performance when the resolution of the iris images is insufficient. In this study, a super-resolution model for iris images, namely SwinGIris, which combines the Swin Transformer and ... ver más
Revista: Algorithms

 
Nadia Brancati and Maria Frucci    
To support pathologists in breast tumor diagnosis, deep learning plays a crucial role in the development of histological whole slide image (WSI) classification methods. However, automatic classification is challenging due to the high-resolution data and ... ver más
Revista: Information

 
Moatsum Alawida, Bayan Abu Shawar, Oludare Isaac Abiodun, Abid Mehmood, Abiodun Esther Omolara and Ahmad K. Al Hwaitat    
The Chat Generative Pre-training Transformer (GPT), also known as ChatGPT, is a powerful generative AI model that can simulate human-like dialogues across a variety of domains. However, this popularity has attracted the attention of malicious actors who ... ver más
Revista: Information

 
Baris Yigin and Metin Celik    
In recent years, advanced methods and smart solutions have been investigated for the safe, secure, and environmentally friendly operation of ships. Since data acquisition capabilities have improved, data processing has become of great importance for ship... ver más

 
Minh-Quan Vo, Thu Nguyen, Michael A. Riegler and Hugo L. Hammer    
Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of the models challenging. The most com... ver más
Revista: Algorithms