Work

Optimized crane mat design and transit path planning using a graph search algorithm

Year: 2025

Type: article

Abstract: Designing temporary crane transit paths in large construction sites with varying geological profiles presents two challenges: (1) ensuring safe, efficient, and cost-effective operations, and (2) developing optimization solutions that consider material properties, ground loading, and site layout. This paper addresses these challenges by integrating a graph search algorithm with crane mat structural design to optimize crane mat layouts and transit paths. A case study of structural steel subassembly installations, based on a real-world project, demonstrates the method’s effectiveness. The results highlight safety-focused crane mat designs and transit plans, along with significant cost savings compared to traditional heuristics. • Designs optimized transit paths for large-capacity mobile cranes. • Proposes an analytical approach to optimize crane mat design and transit paths. • Reduces crane mat material usage and field overhead costs. • Enhances crane safety by analyzing ground pressure and slope. • Automates optimization via a prototype computer program.

Source: Automation in Construction

DOI: 10.1016/j.autcon.2025.106107

Authors: Monjurul Hasan, Ming Lu

Institutions: Government of Alberta, Transportation and Economic Corridors, Hong Kong Polytechnic University

Language: English

Topic: Construction Engineering and Safety

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $5,490