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Title:Optimal positioning of mobile cranes on construction sites using nonlinear programming with discontinuous derivatives
Authors:ID Hozjan, Matjaž (Author)
ID Klanšek, Uroš (Author)
Files:.pdf sustainability-15-16889.pdf (877,26 KB)
MD5: 0003488E4B157861BFF547EB912BA4B5
 
URL https://www.mdpi.com/2071-1050/15/24/16889
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:Mobile cranes represent conventional construction machinery that is indispensable for the erection of most prefabricated buildings, especially those containing heavy components. However, it is also common knowledge that the engagement of these machines has a significant influence on the environment, various social aspects of the construction process, and its economic benefits. Optimal positioning of the mobile crane on the construction site, primarily driven by the contractor’s interest to perform assembly operations with expensive machinery as effectively as possible, considerably reduces not only the costs of engaging such a machine but indirectly also its negative impacts on construction sustainability. This paper discusses an exact nonlinear model for the optimization task. The optimization model consists of a cost objective function that is subject to various duration and positioning constraints for the mobile crane, including bounds on its degrees of freedom of movement and stop positions. Because the model formulation includes discontinuous and non-smooth expressions, nonlinear programming with discontinuous derivatives (DNLP) was employed to ensure the optimal solution was reached. The model provides the mobile crane operator with exact key information that enables the complete and optimal assembly of the building structure under consideration. Additionally, the information gained on the optimal distribution of the mobile crane rental period to assembly operations allows for a detailed duration analysis of the entire process of building structure erection, which can be used for its further improvement. An application example is given in this study to demonstrate the advantages of the proposed approach.
Keywords:construction sustainability, mobile crane, nonlinear programming with discontinuous derivatives, optimization, positioning
Publication status:Published
Publication version:Version of Record
Submitted for review:06.11.2023
Article acceptance date:06.12.2023
Publication date:15.12.2023
Publisher:https://www.mdpi.com/
Year of publishing:2023
Year of performance:2023
Number of pages:19 str.
Numbering:Vol. 15, iss. 24, [article no.] 16889
PID:20.500.12556/DKUM-86586 New window
UDC:69.057.7:621.873
ISSN on article:2071-1050
COBISS.SI-ID:177981443 New window
DOI:10.3390/su152416889 New window
Publication date in DKUM:18.12.2023
Views:403
Downloads:19
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
HOZJAN, Matjaž and KLANŠEK, Uroš, 2023, Optimal positioning of mobile cranes on construction sites using nonlinear programming with discontinuous derivatives. Sustainability [online]. 2023. Vol. 15, no. 24,  16889. [Accessed 8 January 2025]. DOI 10.3390/su152416889. Retrieved from: https://www.mdpi.com/2071-1050/15/24/16889
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Record is a part of a journal

Title:Sustainability
Shortened title:Sustainability
Publisher:MDPI
ISSN:2071-1050
COBISS.SI-ID:5324897 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0129-2022
Name:Razvoj, modeliranje in optimiranje objektov in procesov v gradbeništvu in prometu

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:trajnost gradnje, mobilno dvigalo, žerjavi, nelinearno programiranje z diskontinuiranimi izpeljankami, optimizacija, pozicioniranje


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