bluuebunny/crossref_metadata_2025_split huggingface dataset:
Graph Constrained Multiple Schemes Generation for Campus Layout
Authors: Liu Yubo , Zhang Zhilan , Hu Kai , Deng Qiaoming 
Published: January 2024

AbstractThe campus layout is a major stage in the early stages of campus planning and design. When assessing the feasibility of a campus site in stage, we usually compare multiple campus layout schemes, which consumes a lot of time. The design process can be accelerated if multiple campus planning schemes can be generated quickly to meet the desired requirements. This study aims to explore the possibility of using graph neural networks (GNN) to generate multiple campus layouts. We use a step-by-step generation method. The first step is generating campus functional zonings based on user constraints. The second step is generating campus building layouts based on the functional zonings. Ultimately the machine is able to quickly generate multiple campus layout schemes by user input of graph constraints such as the number of functional zonings, the type of functions and their adjacency. In the experiment, we trained 200 campus layout samples and verified the validity and accuracy of the experiment after qualitative and quantitative analysis.
Lightweight and Customized Design via Conformal Parametric Lattice Driven by Stress Fields
Authors: Liu Fuyuan , Chen Min , Wang Lizhe , Xiang Zhouyi , Huang Songhua 
Published: January 2024

AbstractAdditive manufacturing has opened up new opportunities for material-based design and optimization, with lattice materials being a key area of interest. Lattice materials can exhibit superb physical properties, such as high thermal conductivity and excellent energy absorption, and be designed to meet specific design objectives. However, optimizing the use of these materials requires considering geometric constraints and loading conditions. This research explores stress-driven multi-agent system (MAS) to achieve high-performance lattice infilling. The von Mises stress and principal stress are investigated as the infilling environments as they are typical failure evaluation criteria. The feasibility of these approaches is demonstrated through a case study of sport helmet design, where MAS is used to generate conformal lattice structures that meet functional and fabrication requirements. The density distribution and arrangement direction of lattice units are effectively controlled in physical fields. The results demonstrate that both von Mises stress field and principal stress field-driven methods can improve the stiffness of helmets compared to the method that only considers geometrical conformity under the same mass. The paper concludes that stress-driven lattice infilling has the potential to revolutionize material-based design and optimization in additive manufacturing.
Optimizing for Orientation in Complex Spaces
Authors: Duan Xuexin , Schumacher Patrik 
Published: January 2024

AbstractIn response to the increasing demand for collaboration and knowledge exchange within Postfordist network society, both virtual and physical spaces are becoming more and more complex. Therefore the orientation within these increasingly complex and information-rich scenes becomes a problem that architectural design must address. The goal of this research is to upgrade architectural design competency in this respect by setting up a workflow for evaluating and optimizing the legibility of complex scenes. This paper introduces a novel research approach focused on the recognizability of salient interaction offerings within complex spatial settings, by using machine learning. A systematic workflow is being developed for simulations that appraise and rank design proposals with respect to the trade-off between scene complexity and legibility. The authors explore the research through a series of simulation experiments concerned with semantic segmentation, i.e. with distinguishing and classifying relevant features in a large complex visual field. The paper first describes the method of setting up the measurement of complexity and ease of recognition, and then illustrates how a trained neural network can be used to evaluate and rank a series of design proposals (with systematically varied degree of complexity) on the basis of their recognizability. While the paper found that the hypothesis of a statistical inverse correlation or trade-off between complexity and recognizability holds, for each degree of complexity there are several design options with different degrees of recognizability. Therefore this approach allows to optimize the design of complex scenes in terms of the crucial criterion of legibility.
A Virtual Reality Window View Evaluation Tool for Shading Devices and Exterior Landscape Design
Authors: Zeng Wentao , Zhang Hanyi 
Published: January 2024

AbstractThe window view is an important part of the daylighting design. The current window view analysis based on daylighting metrics does not respond well to user preferences. This study uses an office with a courtyard in Berkeley, CA, USA, as a case study to create a virtual reality-based window view evaluation tool and workflow to analyze the impact of different types of shading devices and different levels of exterior landscapes on user perception. This tool combines quantitative data based on daylighting metrics and users’ subjective and physical responses with qualitative analysis based on user feedback and preferences. A two-way ANOVA was conducted in the study to demonstrate that the independent and interactive impacts of shading devices and exterior landscapes on user perception and satisfaction. The results show that users prefer shading types that block less of window views even though they may cause a higher probability of glare. Besides, advanced landscapes tend to enhance user satisfaction with shading devices. This new window evaluation method will help architects make more comprehensive decisions in shading device type selection and exterior landscape design.
Virtual Reality Architecture Teaching Application Based on Unity Platform—Taking a Small Architect's Metaverse Application as an Example
Authors: Lu Yihan , Zhang Zhouyu , Zhang Yaoping , Li Li 
Published: January 2024

AbstractChildren's architectural education is mainly built by assembling existing prefabricated blocks. However, most of the existing architectural education projects focus on PC applications, which are important for transforming architecture into practical results. Taking the achievements of the VR architectural knowledge popularization education project as an example, this paper demonstrates the application of the combination of virtual reality technology and architectural education in the future architectural design education for children. The app adds a follow-up connection to reality that is missing from traditional VR experiences. First of all, this application built a virtual reality building on the unity3d platform, controlled vr equipment through the OpenXR library, designed a program to build a house with prefabricated modules in the application, and finally exported the virtual results as DXF files to the laser cutting equipment, and assembled them in reality. It retains the interest and diversity of the virtual meta-universe and can increase the authenticity of the combination of virtual and real life in the education links to improve hands-on ability. This application through the students in a three-dimensional virtual environment to experience the process of building, but it also can use laser printing technology to transform students' learning results into real results in order to realize the application of virtual reality technology in architectural education.
Construction of Recreation Behavior Simulation Model of Public Space in Urban Waterfront—Taking Huangpu River in Shanghai as an Example
Authors: Yang Chunxia , Zhan Ming 
Published: January 2024

AbstractThis study constructs a multi-agent behavior simulation model to explore the quantitative simulation method of waterfront public space. Taking 6 waterfront public space samples along the Huangpu River in Shanghai as research objects, this study first collects environmental data and pedestrian behavior data through field survey, and then analyzes and processes the data to obtain the Spatial Attraction Weight (SWA) that expresses the relationship between pedestrian behavior and spatial elements. Then, based on the Anylogic platform, the pedestrian agent particles expressing people’s characteristics are placed into the simulation environment based on the social force model. They interact in real time to dynamically simulate the pedestrian’s behavior. Finally, fitting verification of the preliminary model is carried out. The qualitative comparison and quantitative correlation analysis are combined to enhance the accuracy. The behavior simulation model of waterfront public space built in the study can more realistically represent the pedestrian's behavior. It can realize the scientific prediction of the future use of waterfront space and provide more detailed reference for problem diagnosis and optimization.
Generation Scheme of IndoorGML Model Based on Building Information Model
Authors: Tong Ziyu , Zheng Hang 
Published: January 2024

AbstractIn recent years, the concept of City Information Model (CIM) has received wide attention. However, the interior spaces are difficult to handle in CIM due to its complexity in terms of location and connection on 3D. Indoor Geography Markup Language (IndoorGML) is a data format standard for the exchange and representation of indoor space data and provided a method to describe interior space objects for CIM. However, the existing generation process is cumbersome and difficult to integrate semantic information. This study proposed a BIM-based IndoorGML model generation scheme. The scheme took the typical Revit model as the data base, extracted the location and attribute information of elements respectively, then generated the topologically expressed model integrated the semantic information. The study selected a hospital with complex interior spaces as a case study for the generation experiments of IndoorGML model. The result showed that the scheme is highly feasible even for such complex buildings. This study further calculated complex network-related attributes and analyzed the relationship between interior spaces to explore the application potential of the model.
Diffusion Probabilistic Model Assisted 3D Form Finding and Design Latent Space Exploration: A Case Study for Taihu Stone Spacial Transformation
Authors: Liu Yubo , Li Han , Deng Qiaoming , Hu Kai 
Published: January 2024

AbstractTaihu stone is an important landscape element in Chinese Private Garden on Southern Yangtze river, which is known for its profound cultural and aesthetic significance. In this paper, we intend to introduce the 3D spacial character of Taihu stone into architectural forms and spaces using machine learning, trying to explore the possibilities of AI-assisted 3D form finding and design latent space exploration. Existing spacial transformation of Taihu stone is mainly demonstrated by continuous section slicing, which cannot directly analyze and generate 3D space, thus cannot learn the most characteristic internal space of Taihu stone. This paper used the latest 3D point cloud probabilistic diffusion model to achieve 3D form generation and interpolation of Taihu stone and architectural massing through latent space exploration. Experiments show that a sufficiently trained diffusion model can generate 3D point clouds of Taihu stone and building massing, as well as generate interpolations between them. The latent vector can be manipulated to generate outputs that are more oriented towards the Taihu stone or the building massing, to meet the different needs of designers. Generated point clouds can be reconstructed into triangle meshes or voxelized, as a morphological prototype for further design implementation. Generated forms are capable to provide inspiration and reference for the designers to create free forms, showing the potential of the diffusion model to assist architecture design in conceptual phases.
Parametric Sankey: Interactive Mapping of Complex Material Flows for Urban and Architectural Design
Authors: Huang Jeffrey , Kim Frederick Chando , Johanes Mikhael 
Published: January 2024

AbstractThe mapping of flows in a city is essential for understanding urban systems and enabling the transition of the city into a circular economy. However, while tools for the virtual representations of physical volumes and spaces in urban environments have proliferated, effective tools for modeling the underlying flows are still missing. This paper discusses the development of Parametric Sankey, a tool for the trans-scalar representation of flows, and demonstrates its instrumentation in a research design process. The proposed Parametric Sankey tool overlays different flow categories (material, energy, labor, customer, waste, etc.) into one dynamic trans-scalar system, enabling interactive processes between analysis and intervention, and providing thereby an experimental interface to envision future circular cities and architectures.
Performance-Driven VR Learning for Robotics
Authors: Vassigh Shahin , Bogosian Biayna , Peterson Eric 
Published: January 2024

AbstractThe building industry is facing environmental, technological, and economic challenges, placing significant pressure on preparing the workforce for Industry 4.0 needs. The fields of Architecture, Engineering, and Construction (AEC) are being reshaped by robotics technologies which demand new skills and creating disruptive change to job markets. Addressing the learning needs of AEC students, professionals, and industry workers is critical to ensuring the competitiveness of the future workforce. In recent years advancements in Information Technology, Augmented Reality (AR), Virtual Reality (VR), and Artificial Intelligence (AI) have led to new research and theories on virtual learning environments. In the AEC fields researchers are beginning to rethink current robotics training to counteract costly and resource-intensive in-person learning. However, much of this work has been focused on simulation physics and has yet to adequately address how to engage AEC learners with different learning abilities, styles, and diverse backgrounds. This paper presents the advantages and difficulties associated with using new technologies to develop virtual reality (VR) learning games for robotics. It describes an ongoing project for creating performance driven curriculum. Drawing on the Constructivist Learning Theory, the affordances of Adaptive Learning Systems, and data collection methods from the VR game environment, the project provides a customized and performance-oriented approach to carrying out practical robotics tasks in real-world scenarios.
Customized Knit Membrane Deployable Hyperboloid Tower
Authors: Melnyk Virginia Ellyn 
Published: January 2024

AbstractDeployable structures have become increasingly popular due to their ability to transform from a compact form into a larger structure. They are also typically lightweight, resulting in a lower carbon footprint than heavy permanent building methods. These structures are popular within the field of architecture, as well as in robotics, aerospace engineering, and other fields.This paper explores the design and development of a deployable hyperboloid structure with a connected knitted membrane. The knitted material is specifically designed to stretch and fit the transforming geometry of the hyperboloid. This is achieved by manipulating the types of yarn used across the membrane, as well as the number of short rows in the knit material, to create a more specified material. The design for this material was developed using Rhino3d and Grasshopper. Throughout the design and fabrication process, there was a feedback loop between the digital design models and physical material test samples to ensure that the knit would fit the final hyperboloid structure. The result is a two-meter-tall structure when upright and a two-meter-diameter circle when collapsed, with a knit membrane that supports the structure and transforms seamlessly by stretching and shrinking to the different shapes of transformation.
A Parametric Wave Joint for Robotic Fabrication of Digital Stereotomy
Authors: Ye Wei , Gao Yingzhou , Xu Weiguo 
Published: January 2024

AbstractThis paper explores the potential of digital stereotomy in combination with robotic fabrication to increase the precision and complexity of stone processing. To enable the application of these techniques in outdoor environments, modular joints designed for robotic assembly are necessary. Additionally, the cutting process must be efficient and minimize material waste. To address these challenges, this research proposes a parametric wave joint design that enables rapid cutting and straightforward assembly by a robotic system. The joint contains motion space allowing it to slide into accurate assembly position, enabling the robot to complete the assembly without requiring highly precise vision or gripper in outdoor situations. Furthermore, the wave joint design eliminates the need for milling, reducing the processing time. The paper presents a robotic arm-cutting method for this joint and conducts experiments using foam and robotic arm hot-wire cutting to simulate stone cutting. The feasibility of the joint is tested through the assembly of a bent column, and finite element analysis is used to compare the stresses on two joint parts under shear force with different control parameters. The study confirms the feasibility of the wave joint design for robotic assembly and the efficiency of robotic arm cutting. The findings may inform the development of modular assemblies for robotic systems in stone processing applications.
Slack Pack: Fabrication System for the Dual Robotic Winding of Spatial Fiber Structures
Authors: Hildebrandt Harrison , He Mengxi , Chen Peng-An , Estrada Rebeca Duque , Zechmeister Christoph , Menges Achim 
Published: January 2024

AbstractAdvancements in technology are ushering in an era in architecture in which new design methods and tools are being developed that necessitate entirely new means of fabrication, and, inversely, novel innovations in fabrication require completely new ways of designing. Coreless filament winding is a contemporary fabrication method in which fiber reinforced polymers are robotically wound on frames. Even though research on the frame design has reached promising levels of adaptability and material efficiency, these frames limit fabrication flexibility and increase fabrication time and costs. This paper introduces Slack Pack, a novel fiber winding technique for the fabrication of deployable spatial structures. It eliminates the use of frames by introducing slack into the fabrication process through the controlled tensioning and un-tensioning of fibers. Slack Pack employs a cyber-physical fabrication system that combines a generative design workflow and a multi-agent robotic fabrication setup with a custom end effector. The proposed method is evaluated through a series of physical experiments and digital simulations, demonstrating its potential for the fabrication of spatial fiber structures.
On the Development of Timber Structures Based on 3D Interactive Vector-Based Graphic Statics (VGS)
Authors: Jasienski Jean-Philippe , Zastavni Denis , Rasneur Sylvain 
Published: January 2024

AbstractThe present contribution addresses the topic of how to design novel structures in timber with the aid of a computational tool based on vector-based graphic statics (VGS) in a research-by-design approach. The context, scope and theoretical framework allowing to design strut-and-tie models in timber is explained. An application (design task given to Eng. Arch. Students) is presented. The results concern the primary structure and joints, and are discussed regarding the initial objectives.
An Exploration on the Form Design of Movable Structures Based on Uniform Convex Polyhedral Expansion
Authors: Liu Mengman , Ding Chuhua , Wang Hui 
Published: January 2024

Abstract5 kinds of regular polyhedra and 13 kinds of semi-regular polyhedra are taken as the main research objects in this paper to explore the form design method of polyhedral expansion through the rotation of polygon. Firstly, the expandable range of uniform convex polyhedra is defined and divided into two types of expansion. Then three solutions are proposed, namely, discarding polygonal faces, constructing rigid-foldable origami mechanisms and constructing scissor-like elements, so that the prior unexpandable uniform convex polyhedron can be expanded. These methods extend the range of expandable uniform convex polyhedron, and can provide new form design ideas for frontier fields such as movable furniture (toys), movable art installations, 3D kinetic facades and space architecture.
Biomimetic Form-Finding Study of Bone Needle Microstructure Based on Sponge Regeneration Behavior
Authors: He Xiaoxu , Sun Mingyu 
Published: January 2024

AbstractThe concept of “nature-algorithm-structure” refers to a digital design method in architecture that draws inspiration from nature, extracting its mathematical and physical conceptual models to construct structural systems with parameters. This study aims to address the challenge of parametric form-finding in reticular tension structures. By observing the phenomenon of “sponge regeneration”, we further illustrate the generation and optimization of reticular tension structures through the hierarchical structures of “monomer”-“path”-“mesh”. Tensile structural systems are rebound forms, and their analytical models must account for their nonlinear characteristics and the existence of equilibrium self-course. Starting from the growth dynamics of “sponge regeneration behavior”, this paper extracts the logic behind it: sponge monomers combine randomly into partial units under the condition of shredding and discrete, forming a single organism through aggregation. The multi-dimensional bone needle serves as a structural component, enabling multi-axis reorganization, while the multi-directional mesh surface as a morphological component realizes multi-branch reproduction, forming a natural “network tension structure”. This study focuses on the biomimetic form-finding of bone needle microstructure, drawing inspiration from sponge regeneration behavior. By analyzing the growth dynamics of sponge regeneration, we aim to develop a better understanding of the principles behind the formation of bone needle microstructure. This finding provides significant reference for the development of modern structures and promotes the bioshape and optimization of tensile structures.
Semiclassical gravity beyond coherent states
Authors: Ahmed Shahnewaz , Lima Caroline , Martín-Martínez Eduardo 
Published: January 2024

Abstract
We show that it is possible to still use semiclassical gravity together with quantum field theory beyond the regimes where the field state is coherent. In particular, we identify families of cat states (superposition of almost-distinguishable coherent states that have very non-classical features) for which the gravitational backreaction can be modeled by semiclassical gravity.