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5th International Conference on Energy and Environment Research (ICEER)

作者： Zayed, Anwar Elkhateib, Mahmoud Mandy, Mohamed Elwy, Ibrahim Mil Tech Coll Architectural Engn Dept Cairo Egypt

Reaching satisfactory daylighting levels is an obligatory assignment in arid regions, which are normally described by year-long clear skies. Sun-breakers are normally utilized to control sun powered infiltration, accordingly enhancing illuminance circulation and diminishing visual uneasiness. This paper goes for characterizing the principle attributes of the slats that could be utilized to control solar access into office rooms of administrative building under clear-sky conditions. The study tended to office room plans with WWR 100% confronting south in Cairo, Egypt. The attention was on the effect of the slat position (whether indoor or outdoor) after research for the optimum inclination angle for each season of the year. The major objective was to guarantee sufficient Daylighting performance. parametric recreation runs were performed utilizing Grasshopper, DIVA 4-for-Rhino. The results of this work distinguished the scope of slats as sun-breaker and their relation to enhance daylighting performance for the deep-office space. (C) 2018 The Authors. Published by Elsevier Ltd.

关键词： Daylighting distribution inclination angles slat position parametric algorithm Diva 4

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Assessing Crimp of Fibres in Random Networks with 3D Imaging

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POLYMERS 2023年第4期15卷 1050-1050页

作者： Hewavidana, Yasasween Balci, Mehmet N. Gleadall, Andrew Pourdeyhimi, Behnam Silberschmidt, Vadim V. Demirci, Emrah Loughborough Univ Wolfson Sch Mech Elect & Mfg Engn Loughborough LE11 TU England Hacettepe Univ Dept Mech Engn TR-06800 Ankara Turkiye North Carolina State Univ Nonwovens Inst 1010 Main Campus Dr Raleigh NC 27606 USA

The analysis of fibrous structures using micro-computer tomography (mu CT) is becoming more important as it provides an opportunity to characterise the mechanical properties and performance of materials. This study is the first attempt to provide computations of fibre crimp for various random fibrous networks (RFNs) based on mu CT data. A parametric algorithm was developed to compute fibre crimp in fibres in a virtual domain. It was successfully tested for six different X-ray mu CT models of nonwoven fabrics. Computations showed that nonwoven fabrics with crimped fibres exhibited higher crimp levels than those with non-crimped fibres, as expected. However, with the increased fabric density of the non-crimped nonwovens, fibres tended to be more crimped. Additionally, the projected fibre crimp was computed for all three major 2D planes, and the obtained results were statistically analysed. Initially, the algorithm was tested for a small-size, nonwoven model containing only four fibres. The fraction of nearly straight fibres was computed for both crimped and non-crimped fabrics. The mean value of the fibre crimp demonstrated that fibre segments between intersections were almost straight. However, it was observed that there were no perfectly straight fibres in the analysed RFNs. This study is applicable to approach employing a finite-element analysis (FEA) and computational fluid dynamics (CFD) to model/analyse RFNs.

关键词： crimped fibre fibre crimp non-crimped fibre nonwovens parametric algorithm random fibrous network X-ray micro-CT

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Deep Learning-Based Automation of Scan-to-BIM with Modeling Objects from Occluded Point Clouds

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JOURNAL OF MANAGEMENT IN ENGINEERING 2022年第4期38卷 04022025-04022025页

作者： Park, Junwoo Kim, Jaehong Lee, Dongyeop Jeong, Kwangbok Lee, Jaewook Kim, Hakpyeong Hong, Taehoon Sejong Univ Dept Architectural Engn Seoul 05006 South Korea Sejong Univ Dept Comp Engn Seoul 05006 South Korea Sejong Univ Dept Architectural Engn Deep Learning Architecture Res Ctr Seoul 05006 South Korea Yonsei Univ Dept Architecture & Architectural Engn Seoul 03722 South Korea

As-built building information modeling (BIM) currently is regarded as a tool with the potential to manage buildings efficiently in the operation and maintenance phases. However, as-built BIM modeling is a labor-intensive process that requires considerable cost and time in modeling existing buildings. Although active research on scan-to-BIM automation has addressed this issue, previous studies modeled only major objects such as walls, floors, and ceilings, consequently requiring modeling other objects in indoor spaces. In addition, there was a limitation in modeling objects located in the occluded areas of scanned point clouds. Therefore, this study extracted various indoor objects from a point cloud based on deep-learning, and compensated for incomplete object information from occluded point clouds for automating the process of scan-to-BIM. The number of object classes extracted from the semantic segmentation of a deep learning network was increased to 13, and spatial relationships between objects were defined to improve the accuracy of bounding boxes extracted from point clouds. Furthermore, a parametric algorithm was developed to match the bounding boxes and objects in a BIM library to generate BIM models automatically. In a case study involving an office room, the accuracy of the bounding boxes of some object classes improved by as much as 53.33%. The study verified the feasibility of the proposed method of scan-to-BIM automation for the three-dimensional (3D) reality capture of existing buildings.

关键词： As-built building information modeling (BIM) Scan-to-BIM Automation Deep learning Spatial relationship parametric algorithm

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A heterogeneous pore design algorithm for material extrusion additive manufacturing

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ADDITIVE MANUFACTURING 2024年 94卷

作者： Qu, Huawei Liu, Kaizheng Liu, Juan Gao, Chongjian Ruan, Changshun Chinese Acad Sci Shenzhen Inst Adv Technol Inst Biomed & Biotechnol Res Ctr Human Tissue & Organ Degenerat Shenzhen 518055 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

Material extrusion additive manufacturing offers great potential for customizing matters with complex external contours, and filament diameter-adjustable 3D (FDA-3D) printing strategy provides fresh impetus to create heterogeneous porous structures inside these complex matters. However, the absence of supporting algorithms to implement FDA-3D printing severely hinders its widespread use. In this paper, we develop a heterogeneous pore design (HPD) algorithm aimed at advancing the development of FDA-3D printing for producing heterogeneous porous matters. The HPD algorithm consists of three sub-algorithms: model design, collapse compensation, and fabrication file (G-codes) generation. As proofs of concept, we utilize this algorithm to 3D print radial gradient and letter-embedded gradient materials following specific steps: (1) designing the heterogeneous porous models with collapse compensation in Grasshopper (R) and displaying them in Rhinocores (R);(2) customizing and writing the corresponding G-codes files by following the material extrusion 3D printer's control rules;(3) upgrading a commercial extrusion printer to FDA-3D print the design models via the customized G-codes. Micro-computed tomography-based 3D reconstruction and quantified pore size maps for the fabricated objects demonstrate the high capability of this HPD algorithm. Overall, the HPD algorithm holds the potential to revolutionize material extrusion 3D printers cost-effectively, creating new possibilities for material extrusion of heterogeneous materials.

关键词： Additive manufacturing Material extrusion Heterogeneous design Gradient porous structures parametric algorithm

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algorithm to determine orientation distribution function from microscopic images of fibrous networks: Validation with X-ray microtomography

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MICRON 2022年第0期160卷 103321页

作者： Hewavidana, Yasasween Balci, Mehmet N. Gleadall, Andy Pourdeyhimi, Behnam V. Silberschmidt, Vadim Demirci, Emrah Loughborough Univ Wolfson Sch Mech Elect & Mfg Engn Loughborough LE11 3TU Leicestershire England North Carolina State Univ Nonwovens Inst 1010 Main Campus Dr Raleigh NC 27606 USA

Quantitative analysis of fibre orientation in a random fibrous network (RFN) is important to understand their microstructure, properties and performance. 2D fibre orientation distribution presents an in-plane fibre orientation without any information on fibre orientation in thickness direction. This research introduces a fully parametric algorithm for computing 3D fibre orientation as thickness is important for high-density or thick fibrous networks. The algorithm is tested for 3 major classes of nonwoven fabrics called low- (L), medium- (M) and high-density (H) ones. H fabric density is 6-8 times larger than the L fabric density. M fabric density (traditional intermediate fabric density) is 3-4 times larger than the L fabric density. Voxel models of experimental nonwoven webs were generated by an X-ray micro-CT (mu CT) system and evaluated with the algorithm. Statistical results showed that a fraction of fibres orientated along the thickness direction increases as fibre density grows. To validate the accuracy of findings, deterministic voxelated virtual fibrous structures, created using mathematical functions were used. This novel algorithm is able to produce a 3D orientation distribution function (ODF) for any RFN including, models of nonwovens produced with various manufacturing parameters, experimentally verified and validated with X-ray mu CT. Also, it can compute 2D ODFs of various types of RFNs to evaluate 2D behaviour of fibrous structures. The obtained results are useful for applications in many fields including finite element analysis, computational fluid dynamics, additive manufacturing, etc.

关键词： 3D orientation distribution function Fibre density Fibrous structure Nonwovens parametric algorithm X-ray micro -CT

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An Integrated Assessment Framework of Economic, Environmental, and Human Health Impacts Using Scan-to-BIM and Life-Cycle Assessment in Existing Buildings

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JOURNAL OF MANAGEMENT IN ENGINEERING 2023年第5期39卷 04023034-04023034页

作者： Kim, Sohyun Kim, Hyeonggyun Lee, Jaewook Hong, Taehoon Jeong, Kwangbok Sejong Univ Dept Architectural Engn 209Neungdong ro Seoul 05006 South Korea Sejong Univ Deep Learning Architecture Res Ctr Dept Architectural Engn 209Neungdong ro Seoul 05006 South Korea Yonsei Univ Dept Architecture & Architectural Engn Seoul 03722 South Korea

The significance of environmental management of existing buildings in reducing the environmental impact of the construction sector is increasingly emphasized. However, life-cycle assessment (LCA) to evaluate a building's environmental burden requires considerable time and costs for the collection and interpretation of data needed for analysis. Therefore, this study proposed an integrated assessment framework of economic, environmental, and human health impacts using scan-to-building information modeling (BIM) and LCA in existing buildings. To verify the proposed framework, a case study was conducted. A BIM model with an error rate of 1.442% can be automatically generated from the three-dimensional (3D) point cloud using parametric algorithm. The total cost for the target case was calculated at USD 162,769, and the environmental cost accounted for the largest percentage at 97.15%. The developed framework in this study holds significance because it enables the automated assessment of economic, environmental, and human health impacts of existing buildings through the integration of BIM and LCA.

关键词： Scan-to-building information modeling (BIM) Building material Life-cycle assessment (LCA) parametric algorithm Existing building

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Daylight and Energy Performance Optimization in Hot - Arid Regions: application and adaptation guide for designers in the UAE

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Procedia Manufacturing 2020年 44卷 237-244页

作者： Jihad Awad Lamia Abd-Rabo Department of Architecture College of Architecture Art and Design Ajman University 346 Ajman UAE Architecture Department Faculty of Engineering Alexandria University 21544 Alexandria Egypt

In addition to the thermal comfort, the quality of daylight in the buildings are of exceptional importance in the early stages of the project. The building envelope therefore plays an important mediator, whether as climate change perceived or as cultural patrimony intangible, between the building and its surrounding conditions. Nowadays, the countries of the hot desert are introducing policy based on completely glazed constructions with neglecting their climate change as applied for the United Arab Emirates (UAE). This results in poor building efficiency and identity crises. Therefore, any attempt seeks to decrease excess sun exposure and make efficient sunlight availability. This leads to climate change adaptation and the happiness of the inhabitants as a sustainable development technique, decreasing buildings ’ energy consumption, which is an effective way to eliminate emissions of carbon dioxide (CO 2 ). In this context, this paper presents the assessment principles for daylight performance in the case-study. This lays out approaches for optimizing daylight and energy efficiency in hot-arid climates by comparing different scenarios for building with international style at Ajman University – UAE, in order to reach to the best solution, that through the best use of performance simulation analysis and parametric generic algorithm software (Revit - Insight 360 plugin). Three phases of the methodology are taken: (1) the daylight and energy efficiency are analyzed for the case-study, (2) the results are assessed and compared to the hot-arid climate, (3) the optimum solutions and recommendations are determined. The study provides a new building performance optimization method, which can enable architects to predict the optimal energy performance and daylight strategies by creating suitable climatic design options and to recognize the connection between design demands and daylight efficiency metrics, which are estimated to improve the entire environment.

关键词： daylighting thermal comfort International Style energy efficiency parametric algorithm

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The Productivity Gains Achieved In Applicability of The Prototype AITOD with Paraconsistent Logic in Support in Decision-Making in Project Remeasurement.

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Procedia Computer Science 2019年 154卷 347-353页

作者： Luiz A. de Lima Jair M. Abe Angel A.G. Martinez Jonatas Santos Giovanna Albertini Kazumi Nakamatsu Graduate Program in Production Engineering Paulista University(UNIP) São Paulo/SP Brazil School of Human Science and Environment/H.S.E University of Hyogo Hyogo Japan

This paper addresses the subject of software measurement, namely, the method of Function Point Analysis, which consists in functionally sizing the software. The sizing activity held between customer specialists and suppliers causes disagreements because it involves multiple vague factors that are difficult to quantify. This paper aims to develop the AITOD- Intelligent Decision-making Support system, based on Paraconsistent Annotated Evidential Logic Eτ. This system aims to contribute to the decision-making process of managers. Such methodology has as a precept the materialization of artefacts derived from concepts. The AITOD product has achieved significant improvements in the process of mitigating project recounts. Through the AITOD system, it was verified that 46 projects would result in approval of 28.57% of the projects, 50 projects would result in approval of 64.10% of the projects. With these results, companies would avoid unnecessary expenses and rework. In the scope of the innovative project, the results achieved on the reduction of values spent on project recounting stands out, being proved the viability of the AITOD product.

关键词： Software Measurement Function Point Analysis Paraconsistent Annotated Evidential Logic Eτ parametric algorithm Paraconsistent Decision Method

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Exploring dynamic slat system for enhancing daylighting distribution at deep office spaces in hot arid regions

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Energy Procedia 2018年 153卷 290-294页

作者： Anwar Zayed Mahmoud Elkhateib Mohamed Mahdy Ibrahim Elwy Architectural Engineering Department Military Technical College Kobry El-Qubba Cairo Egypt

关键词： Daylighting distribution inclination angles slat position parametric algorithm Diva 4

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Automated door placement in architectural plans through combined deep-learning networks of ResNet-50 and Pix2Pix-GAN

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EXPERT SYSTEMS WITH APPLICATIONS 2024年 244卷

作者： Kim, Sohyun Lee, Jimin Jeong, Kwangbok Lee, Jaewook Hong, Taehoon An, Jongbaek Sejong Univ Deep Learning Architecture Res Ctr Dept Architectural Engn 209Neungdon RoGwangjin Gu Seoul 05006 South Korea Yonsei Univ Dept Architecture & Architectural Engn Seoul 03722 South Korea

Previous studies on automating building design with deep learning primarily focused on planning room layouts, limiting the design of architectural elements such as doors and windows. This led to the misalignment of rooms, which in turn resulted in a design proposal with no space for architectural openings. In particular, the placement of a door that can set the circulation throughout the building and the privacy gradient as a connection between rooms is still determined by a rule or a designer. To overcome these limitations, this study conducted automated door placement in architectural plans through combined deep-learning networks of ResNet-50 and Pix2Pix-GAN. A case study on residential buildings shows the classification accuracy for the existence of doors using ResNet-50 is on average 96.6%, but the interconnectivity of each room has limitations. Pix2Pix-GAN enhances the interconnectivity of each space compared to the door generation results using ResNet-50. Post-processing that combines ResNet-50 and Pix2Pix-GAN has shown an enhanced accuracy of door generation by 16.54% compared to Pix2Pix-GAN alone. In addition to determining door existence, the interconnectivity between all rooms has also been improved by integrating the two models. These results can assist architects in their decision-making process by automatically generating door layout alternatives that take into consideration the spatial interconnectivity.

关键词： Building design automation Door placement Pix2Pix-GAN ResNet-50 Building information modelling parametric algorithm

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