{"title":"BIM-driven software and algorithm for optimal floor tile layout minimizing material waste","authors":"Faruk Ergen, Önder Halis Bettemir","doi":"10.1016/j.autcon.2025.106115","DOIUrl":null,"url":null,"abstract":"<div><div>State-of-the-art BIM software cannot provide effective solutions for tile placement across spaces due to inaccurate quantity take-off (QTO), internal obstacle recognition, and 3D visualization. This prevents minimizing the waste material of floor covering. In this paper, BIM-based software is developed to establish semantic relationships between the covered surface and the room's structural and architectural elements to compute exact QTO. A tile layout algorithm is embedded to the software which considers the geometry of the room, the obstacles inside the room, and tile size to determine the most efficient layout that minimizes material cut and waste. The algorithm reduced material waste up to 73 % in case studies conducted to validate the proposed approach. The BIM-based software is beneficial for designers and construction firms, reducing material waste and promoting sustainability. The solution inspires future work on more efficient algorithms for tile layout design and BIM-based waste assessment of construction activities.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"173 ","pages":"Article 106115"},"PeriodicalIF":9.6000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525001554","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
State-of-the-art BIM software cannot provide effective solutions for tile placement across spaces due to inaccurate quantity take-off (QTO), internal obstacle recognition, and 3D visualization. This prevents minimizing the waste material of floor covering. In this paper, BIM-based software is developed to establish semantic relationships between the covered surface and the room's structural and architectural elements to compute exact QTO. A tile layout algorithm is embedded to the software which considers the geometry of the room, the obstacles inside the room, and tile size to determine the most efficient layout that minimizes material cut and waste. The algorithm reduced material waste up to 73 % in case studies conducted to validate the proposed approach. The BIM-based software is beneficial for designers and construction firms, reducing material waste and promoting sustainability. The solution inspires future work on more efficient algorithms for tile layout design and BIM-based waste assessment of construction activities.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.