It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
This paper introduces an innovative strategy for the construction of multi-leaf walls utilizing raw stones, a significant step forward in sustainable building practices. Our approach leverages advanced computational algorithms and image processing techniques to automatically build walls with irregular stones. By focusing on the physical assembly of these materials, the objective is to optimize their use in creating structurally robust walls. The core of our methodology lies in the efficient arrangement of irregular objects based on image-convolution techniques. The proposed packing algorithm is proven to be efficient and versatile in stacking stones without restriction in the shape and size of units. Evaluations of constructed walls based on geometric indices show that the stone layout meets masons’ rules-of-art. This work presents a scalable wall construction solution that could revolutionize the use of natural stones in construction.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer