Use of algorithms in building construction preparation

Author:

Máder Patrik Márk1ORCID,Rák Olivér1,Bakai Nándor1,Etlinger József1,Zagorácz Márk1

Affiliation:

1. Research Group ‘BIM SKILL LAB’, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány u. 2, 7624 Pécs, Hungary

Abstract

Abstract Nowadays, it is increasingly important to develop economical construction processes and determine predictable costs. The current level of technology offers countless, even undeveloped opportunities to support architectural, engineering, and construction processes. Building information models created as results of design processes and databases associated with them can provide an appropriate base to fulfill the requirements. However, this information is mainly available only for the largest projects; the possibilities offered by traditional editable vector files (e.g., *.DWG) should also be examined. This study analyzes the efficiency increasing possibilities that can be achieved using low-detail 3D models generated by algorithms and applying 2D-based digital quantity estimation workflows.

Funder

Biomedical Engineering Project of the Thematic Excellence Programme 2020

Publisher

Akademiai Kiado Zrt.

Subject

Computer Science Applications,General Materials Science,Modeling and Simulation,Civil and Structural Engineering,Software

Reference13 articles.

1. An eco-approach to modularity in urban living;Á. Borsos,2019

2. BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers, and Contractors;E. Charles,2008

3. Conversion of 2D drawings to 3D parts conversion of 2D drawings to 3D parts;V. Nenorta,2004

4. Reconstruction of 3D models from 2D orthographic views using solid extrusion and revolution;A. Çıçek,2004

5. Review: reconstruction of 3D building information models from 2D scanned plans;L Gimenez,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3